Summary: Facebook is seeking a data center Critical Facility Engineer to join our Data Center Facility Operations team. Our data centers serve as the foundation upon which our software operates to meet the demands of our customers. The Critical Facility Engineer will be a part of the Facility Operations team responsible for operating and maintaining critical systems in our data centers. The candidate will need to be experienced in diverse industries such as electrical generation, electrical distribution, cooling technologies and fire protection systems. Required Skills: Critical Facility Engineer Responsibilities: Perform hands-on operations and maintenance which includes all physical and administrative operations tasks, service, and maintenance in accordance with site processes and procedures to ensure the highest levels of uptime, efficiency, and safety without disruption to the business Complete work order requests accurately and on time Maintain a positive and professional working relationship with cross functional teams Respond quickly, using Facebook procedures or emergency operating procedures to data center facility emergencies Regularly inspect equipment, buildings, safety routes and grounds to check or identify any abnormal or unsafe conditions or faults Troubleshoot, evaluate and recommend system upgrades Order parts and supplies for maintenance and repairs Work with vendors and contractors to ensure work is in accordance with the agreed Facebook processes, procedures, and standards Escalate issues to facility management appropriately and timely Assist in scheduling and supervising vendors/subcontractors during equipment/systems maintenance and service Provides technical expertise and assistance as required Provides recommendation of improvements to the operations and maintenance program on an on-going basis Ability to work night shift work and set shift which may include nights and holidays Minimum Qualifications: Minimum Qualifications: High school diploma or equivalent (i.e. GED) 5+ years experience in electrical, HVAC, mechanical, controls, or other technical maintenance field Associate's degree in engineering plus 3+ years experience or Bachelor's degree in related field plus 2+ years experience in electrical, HVAC, mechanical, or controls will be considered in lieu of 5+ years experience Knowledge of Microsoft Office Suite - Word, Excel and Outlook Experience interpreting blueprints/CAD drawings Regularly walk job site areas of flat and uneven terrain Work at varying heights and from ladders Use hands and fingers Reach/push/pull with hands/arms/shoulders Stoop, kneel, crouch and crawl May lift and/or otherwise move 45 pounds or more Preferred Qualifications: Preferred Qualifications: 3+ years experience in a data center or other Critical Environment (pharma, clean room, medical, power production, etc.) Trade Certification or state license in Electrical or Mechanical (HVAC) Professional affiliations (7x24 Exchange, IFMA, Data Center Pulse, etc.) Knowledge of CMMS systems Knowledge of critical facilities operations Knowledge of mechanical, electrical, and life safety monitoring and control systems typically used in critical environments Industry: Internet Equal Opportunity: Facebook is proud to be an Equal Opportunity and Affirmative Action employer. We do not discriminate based upon race, religion, color, national origin, sex (including pregnancy, childbirth, or related medical conditions), sexual orientation, gender, gender identity, gender expression, transgender status, sexual stereotypes, age, status as a protected veteran, status as an individual with a disability, or other applicable legally protected characteristics. We also consider qualified applicants with criminal histories, consistent with applicable federal, state and local law. Facebook is committed to providing reasonable accommodations for candidates with disabilities in our recruiting process. If you need any assistance or accommodations due to a disability, please let us know at .

Become a part of our caring community and help us put health first

You have the unique opportunity to join the Integrated Health technology team and help enable seamless delivery of health and care services to the customer across their journey through the ecosystem. Integrated Health will continue to bring the CenterWell assets closer together leveraging patient experience initiatives as a core driver to developing cross-asset capabilities and leveraging data in new ways.

If this type of work and vision resonates with you, we would love to talk to you!

The Senior Data Engineer Designs, builds, and maintains data processing architectures and solutions enabling the efficient conversion of structured and unstructured data to insights at enterprise scale. The Senior Data Engineer work assignments involve moderately complex to complex issues where the analysis of situations or data requires an in-depth evaluation of variable factors.

The Senior Data Engineer ingests data from internal and external sources utilizing cloud native platforms and software development best practices and patterns. Develops software tools that leverage artificial intelligence, machine learning, and big-data techniques to cleanse, organize, and transform data into insights and actions that enables us to better serve our customers. Begins to influence department’s strategy. Makes decisions on moderately complex to complex issues regarding technical approach for project components, and work is performed without direction. Exercises considerable latitude in determining objectives and approaches to assignments.

Required Qualifications

Bachelor's Degree in Computer Science, IT or equivalent and relevant experience in lieu of degree.

5 or more years' experience as a senior developer in large IT projects

Data Engineering experience implementing data pipelines, data lakes, and data warehouses to support large-scale data processing and analytics Familiarity with ETL/ELT tools (i.e. Apache Airflow, Talend, Informatica), Big Data Tools (i.e. Apache Hadoop, Spark), Stream Processing (i.e. Kafka, AWS Kinesis, Azure Event Hubs, Apache Beam) and Data Orchestration tools

Strong experience with cloud platforms (AWS, Azure, GCP)

Knowledge of RESTful APIs, microservices architecture and serverless computing

Preferred Qualifications

Certifications in cloud technologies (i.e. AWS Certified Big Data, Azure Data Engineer Associate, GCP Data Engineer)

Experience with CI/CD pipelines and DevOps practices

Familiarity with GraphQL schema design and implementation

Familiarity with containerization technologies (Docker, Kubernetes)

Prior project lead experience

Use your skills to make an impact

Work-At-Home Requirements

WAH requirements: Must have the ability to provide a high-speed DSL or cable modem for a home office. Associates or contractors who live and work from home in the state of California will be provided payment for their internet expense.

A minimum standard speed for optimal performance of 25x10 (25mpbs download x 10mpbs upload) is required.

Satellite and Wireless Internet service is NOT allowed for this role.

A dedicated space lacking ongoing interruptions to protect member PHI / HIPAA information.

Scheduled Weekly Hours

40

Pay Range

The compensation range below reflects a good faith estimate of starting base pay for full time (40 hours per week) employment at the time of posting. The pay range may be higher or lower based on geographic location and individual pay will vary based on demonstrated job related skills, knowledge, experience, education, certifications, etc.

$104,800 - $144,300 per year

This job is eligible for a bonus incentive plan. This incentive opportunity is based upon company and/or individual performance.

Description of Benefits

Humana, Inc. and its affiliated subsidiaries (collectively, “Humana”) offers competitive benefits that support whole-person well-being. Associate benefits are designed to encourage personal wellness and smart healthcare decisions for you and your family while also knowing your life extends outside of work. Among our benefits, Humana provides medical, dental and vision benefits, 401(k) retirement savings plan, time off (including paid time off, company and personal holidays, volunteer time off, paid parental and caregiver leave), short-term and long-term disability, life insurance and many other opportunities.

About us

Humana Inc. (NYSE: HUM) is committed to putting health first – for our teammates, our customers and our company. Through our Humana insurance services and CenterWell healthcare services, we make it easier for the millions of people we serve to achieve their best health – delivering the care and service they need, when they need it. These efforts are leading to a better quality of life for people with Medicare, Medicaid, families, individuals, military service personnel, and communities at large.

Equal Opportunity Employer

It is the policy of Humana not to discriminate against any employee or applicant for employment because of race, color, religion, sex, sexual orientation, gender identity, national origin, age, marital status, genetic information, disability or veteran status. It is also the policy of Humana to take affirmative action to employ and to advance in employment, all persons regardless of race, color, religion, sex, sexual orientation, gender identity, national origin, age, marital status, genetic information, disability or protected veteran status, and to base all employment decisions only on valid job requirements. This policy shall apply to all employment actions, including but not limited to recruitment, hiring, upgrading, promotion, transfer, demotion, layoff, recall, termination, rates of pay or other forms of compensation and selection for training, including apprenticeship, at all levels of employment.

Humana complies with all applicable federal civil rights laws and does not discriminate on the basis of race, color, national origin, age, disability, sex, sexual orientation, gender identity or religion. We also provide free language interpreter services. See our https://www.humana.com/legal/accessibility-resources?source=Humana_Website.

Cleo is a cloud integration technology company focused on business outcomes. Every day, we ensure that each one of our 4,000+ customers' potential is realized by delivering solutions that make it easy to discover and create value through the connections and integration of enterprise applications supporting critical workflows. By providing the industry’s most complete and flexible integration offerings, we are helping our clients build trusted relationships across their partner ecosystems today, while providing all the control and visibility they need to advance their business tomorrow. In a nutshell, Cleo is a rapidly growing category leader in ecosystem integration software and we have experienced tremendous growth over recent years.The Senior Data Engineer is a hands-on leader responsible for designing, developing, and maintaining data pipelines and infrastructure at Cleo. This role involves setting the strategy for data systems, collaborating closely with cross-functional teams, and ensuring the scalability, reliability, and efficiency of data solutions. The Senior Data Engineer will focus on data infrastructure needs for AI/ML models , overseeing the creation of a data warehouse and associated systems from scratch, and ensuring data is properly transformed and optimized for machine learning and artificial intelligence applications. This role is integral to building the processes that support data transformation , data structures , metadata management , data quality controls , and workload management .What You Will Be DoingLead the Design and Build of Data Pipelines : Develop and maintain scalable, reliable, and efficient data pipelines that collect, process, and store large datasets. Ensure these systems are optimized for AI/ML model training and inference.Set Data Infrastructure Strategy : Define and execute the strategy for building and maintaining data warehouses , data lakes , and other data storage systems that support both operational and analytical needs. Ensure systems are optimized for AI/ML model workflows.Hands-On Data Transformation for AI/ML Models : Design and implement data transformation processes, including feature engineering , data preprocessing , and data augmentation , to ensure data is in the right format for machine learning models.Build Data Structures and Metadata Management : Build and manage the data structures, metadata repositories, and related systems that support data transformation, ensuring the organization has well-documented, accurate, and accessible data for AI/ML workflows.Data Quality Controls and Risk Management : Establish and implement data quality controls to ensure that data used in machine learning models is clean, consistent, and accurate. Identify and raise risks at all stages of the data engineering process, including data ingestion, transformation, and storage.Collaborate with Cross-Functional Teams : Work closely with data scientists , ML engineers , product managers , and business leaders to understand data requirements and ensure data systems meet the needs of AI/ML initiatives. Provide hands-on leadership to guide teams in transforming data for model training.ETL Development and Optimization for AI/ML : Lead the development and optimization of ETL (Extract, Transform, Load) processes for ML/AI data. Focus on efficiently moving and transforming large datasets, ensuring data quality and readiness for model training and deployment.Optimize Data for Model Training and Inference : Ensure data pipelines are designed to support the needs of AI/ML model training, such as handling large volumes of data, managing data quality, and enabling fast model iteration.Data Governance for AI/ML : Define and implement data governance practices to ensure the secure, compliant, and ethical use of data in AI/ML workflows.Stay Current : Keep up with emerging trends in data engineering, particularly those related to AI/ML model development, and implement best practices to optimize data systems for machine learning.Your QualificationsExperience : 5-7+ years of experience in data engineering, with a focus on transforming data for AI/ML models and optimizing data systems to support machine learning and artificial intelligence workflows.Hands-On Expertise : Proven experience in hands-on data transformation and building data pipelines for AI/ML, including data preprocessing, feature engineering, and model-specific data handling.Leadership : Experience leading or mentoring data engineering teams, providing hands-on guidance for AI/ML-related projects and collaborating with cross-functional teams.Cloud and Big Data : Strong experience with cloud platforms and big data technologies , particularly in the context of AI/ML model development .A few things we have to offer:Competitive compensationGreat Healthcare + Dental + VisionFlexible PTOCulture of support, encouraging Life-Work balanceFSA and HSA optionsEmployee Assistance ProgramRepresenting a company with 4,000+ clients and a 99% retention rateAccelerated title and salary growth potentialA fun and energetic work environment that makes you excited to go to work every dayCleo Communications, LLC is an equal opportunity/affirmative action employer and all qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, age, disability status, protected veteran status or any other characteristic protected by law.
#J-18808-Ljbffr

Summary:

As a Data Engineer at Meta, you will shape the future of people-facing and business-facing products we build across our entire family of applications (Facebook, Instagram, Messenger, WhatsApp, Reality Labs, Threads). Your technical skills and analytical mindset will be utilized designing and building some of the world's most extensive data sets, helping to craft experiences for billions of people and hundreds of millions of businesses worldwide.In this role, you will collaborate with software engineering, data science, and product management teams to design/build scalable data solutions across Meta to optimize growth, strategy, and user experience for our 3 billion plus users, as well as our internal employee community.You will be at the forefront of identifying and solving some of the most interesting data challenges at a scale few companies can match. By joining Meta, you will become part of a world-class data engineering community dedicated to skill development and career growth in data engineering and beyond.Data Engineering: You will guide teams by building optimal data artifacts (including datasets and visualizations) to address key questions. You will refine our systems, design logging solutions, and create scalable data models. Ensuring data security and quality, and with a strong focus on efficiency, you will suggest architecture and development approaches and data management standards to address complex analytical problems.Product leadership: You will use data to shape product development, identify new opportunities, and tackle upcoming challenges. You'll ensure our products add value for users and businesses, by prioritizing projects, and driving innovative solutions to respond to challenges or opportunities.Communication and influence: You won't simply present data, but tell data-driven stories. You will convince and influence your partners using clear insights and recommendations. You will build credibility through structure and clarity, and be a trusted strategic partner.

Required Skills:

Data Engineer, Product Analytics Responsibilities:

Conceptualize and own the data architecture for multiple large-scale projects, while evaluating design and operational cost-benefit tradeoffs within systems

Create and contribute to frameworks that improve the efficacy of logging data, while working with data infrastructure to triage issues and resolve

Collaborate with engineers, product managers, and data scientists to understand data needs, representing key data insights visually in a meaningful way

Define and manage Service Level Agreements for all data sets in allocated areas of ownership

Determine and implement the security model based on privacy requirements, confirm safeguards are followed, address data quality issues, and evolve governance processes within allocated areas of ownership

Design, build, and launch collections of sophisticated data models and visualizations that support multiple use cases across different products or domains

Solve our most challenging data integration problems, utilizing optimal Extract, Transform, Load (ETL) patterns, frameworks, query techniques, sourcing from structured and unstructured data sources

Assist in owning existing processes running in production, optimizing complex code through advanced algorithmic concepts

Optimize pipelines, dashboards, frameworks, and systems to facilitate easier development of data artifacts

Influence product and cross-functional teams to identify data opportunities to drive impact

Mentor team members by giving/receiving actionable feedback

Minimum Qualifications:

Minimum Qualifications:

Bachelor's degree in Computer Science, Computer Engineering, relevant technical field, or equivalent

7+ years of experience where the primary responsibility involves working with data. This could include roles such as data analyst, data scientist, data engineer, or similar positions

7+ years of experience with SQL, ETL, data modeling, and at least one programming language (e.g., Python, C++, C#, Scala or others.)

Preferred Qualifications:

Preferred Qualifications:

Master's or Ph.D degree in a STEM field

Public Compensation:

$173,000/year to $242,000/year + bonus + equity + benefits

Industry: Internet

Equal Opportunity:

Meta is proud to be an Equal Employment Opportunity and Affirmative Action employer. We do not discriminate based upon race, religion, color, national origin, sex (including pregnancy, childbirth, or related medical conditions), sexual orientation, gender, gender identity, gender expression, transgender status, sexual stereotypes, age, status as a protected veteran, status as an individual with a disability, or other applicable legally protected characteristics. We also consider qualified applicants with criminal histories, consistent with applicable federal, state and local law. Meta participates in the E-Verify program in certain locations, as required by law. Please note that Meta may leverage artificial intelligence and machine learning technologies in connection with applications for employment.

Meta is committed to providing reasonable accommodations for candidates with disabilities in our recruiting process. If you need any assistance or accommodations due to a disability, please let us know at accommodations-ext@fb.com.

Job Description

Data Engineer Co-Op – Construction & Engineering Global Industry Unit

Oracle University Tech Recruiting

Bay Area (CA), Denver (CO), West Conshohocken (PA), Deerfield (IL), Remote

May-December 2025

The Program:

Our future success depends on hiring world-class, early in career talent who are looking to power next-generation services and solutions. We are hiring bachelor’s and master’s graduates with a diverse set of skills and experiences to work in and across multiple teams within the Construction & Engineering Global Industry Unit (CEGIU) organization. Our program is intended to enhance your overall learning experience, help build your network, and accelerate your opportunity to make an impact. Create the future with us!

The Team:

The Construction and Engineering Global Industry Unit (CEGIU) of Oracle is the world’s leading project and portfolio management software organization. Since 1983, we have provided the software foundation that enables all types of businesses to achieve excellence in managing their portfolios, programs, projects, and resources. The product development team in the CEGIU is focused on developing enterprise-level solutions for our customers in project-intensive industries worldwide. We offer a highly collaborative and dynamic environment, as well as a great mix of leadership and growth opportunities.

The Company:

Oracle is the world’s leading provider of business software. With a presence in over 175 countries, we are one of the biggest technology companies on the planet. We're using innovative emerging technologies to tackle real-world problems today. From advancing energy efficiency to reimagining online commerce, the work we do is not only redefining the world of business—it is helping advance governments, power nonprofits, and giving billions of people the tools, they need to outpace change. For more information about Oracle (NYSE:ORCL), visit us at oracle.com.

What You’ll Do:

Data Engineers work as part of a cross-functional development team to deliver the next releases of our enterprise project and portfolio management products. Your primary responsibility will be working on ETL processes using with PL\SQL or the latest in ETL technology tools to populate data warehouses or a data lake. We focus on performance, data integrity, and transformations. You will need strong SQL skills and should have some previous database experience and be able to build or edit procedures. Our Data Engineers work closely with our Data Science teams as well as other product teams to consolidate all of the organizations data into a collaborative and cohesive common platform.

What You’ll Bring: (Objective Minimum Qualifications)

To be considered for a Data Engineer position in the CEGIU organization, you must possess the Objective Minimum Qualifications (OMQs) below. Please ensure that your application clearly indicates that you meet these OMQs, either on your resume and/or by uploading additional documents such as a transcript.

Pursuing a Bachelor’s degree in computer science, software engineering, or an equivalent science/engineering field and will be returning to school for the 2025-2026 school year .

Reside in the United States and/or attend a university in the US.

Able to obtain work authorization in the US in 2025.

Proficiency in one of the following technology areas:

SQL, PL\SQL experience

Previous DB experience (Oracle preferred)

Database creation – tables, schema, packages, procedures, etc.

Other Preferred Qualifications:

Ability to quickly grasp and communicate technical, business, and design information

Strong troubleshooting skills

Effective at working in teams and collaborating with technical and non-technical team members

Experience working on an existing, large codebase

Passion and enthusiasm, if you care about what you do, you’ll do a better job at it

Minimum 3.0 GPA

What We’ll Give You:

Make a global impact: Trillions of dollars annually are spent on infrastructure and construction projects around the world, fueling economic development and growth in developed and developing countries. Our solutions are critical to the success of those projects and enable our customers to maximize the value of those investments.

Growth: Like many industries in the last few decades, the construction and engineering industry is embracing technology more and undergoing a digital transformation. It’s a dynamic technology market that has barely scratched the surface of what is possible. This creates many opportunities for employees to explore new products and innovate.

Immersive, self-driven learning experience: We feel the best way to learn is by doing, which is why we get you integrated with your team immediately upon joining. You’ll have plenty of support from teammates as you work on initial, small assignments. As you gain comfort/confidence, you’ll take on greater and greater challenges at a pace you’re comfortable with. You’ll have the flexibility to focus on certain areas of the application and technology to build your depth of knowledge or move around to expand your breadth of expertise; the choice is yours.

Relevant skills and experience: We use industry-leading technology in our products, so as you deliver value to our customers, you’ll gain valuable skills in return.

Life at Oracle:

An Oracle career can span industries, roles, countries and cultures, giving you the opportunity to tackle new roles and challenges, while blending work and life. Oracle has thrived through 40+ years of change by innovating and operating with integrity while delivering for the top companies in almost every industry. To nurture the talent that makes this happen, we work hard to build a vibrant and inspiring workplace that celebrates diverse, hardworking teams where everyone can contribute. We take care of each other, and value giving back to the community. We have flexible work arrangements and offer benefits including generous paid parental leave and comprehensive premium medical insurance.

Getting to know you:

Oracle is an Equal Employment Opportunity Employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, national origin, sexual orientation, gender identity, disability and protected veteran’s status or any other characteristic protected by law.

Career Level - IC0

Responsibilities

What You’ll Bring: (Objective Minimum Qualifications)

To be considered for a Data Engineer position in the CEGIU organization, you must possess the Objective Minimum Qualifications (OMQs) below. Please ensure that your application clearly indicates that you meet these OMQs, either on your resume and/or by uploading additional documents such as a transcript.

Pursuing a Bachelor’s degree in computer science, software engineering, or an equivalent science/engineering field and will be returning to school for the 2025-2026 school year .

Reside in the United States and/or attend a university in the US.

Able to obtain work authorization in the US in 2025.

Proficiency in one of the following technology areas:

SQL, PL\SQL experience

Previous DB experience (Oracle preferred)

Database creation – tables, schema, packages, procedures, etc.

Other Preferred Qualifications:

Ability to quickly grasp and communicate technical, business, and design information

Strong troubleshooting skills

Effective at working in teams and collaborating with technical and non-technical team members

Experience working on an existing, large codebase

Passion and enthusiasm, if you care about what you do, you’ll do a better job at it

Minimum 3.0 GPA

Disclaimer:

Certain US customer or client-facing roles may be required to comply with applicable requirements, such as immunization and occupational health mandates.

Range and benefit information provided in this posting are specific to the stated locations only

US: Hiring Range: from $18.99 to $53.00 per hour; from $39,500 to $110,240 per annum.

Oracle maintains broad salary ranges for its roles in order to account for variations in knowledge, skills, experience, market conditions and locations, as well as reflect Oracle’s differing products, industries and lines of business.

Candidates are typically placed into the range based on the preceding factors as well as internal peer equity.

Oracle US offers a comprehensive benefits package which includes the following:

Medical, dental, and vision insurance, including expert medical opinion

Short term disability and long term disability

Life insurance and AD&D

Supplemental life insurance (Employee/Spouse/Child)

Health care and dependent care Flexible Spending Accounts

Pre-tax commuter and parking benefits

401(k) Savings and Investment Plan with company match

Paid time off: Flexible Vacation is provided to all eligible employees assigned to a salaried (non-overtime eligible) position. Accrued Vacation is provided to all other employees eligible for vacation benefits. For employees working at least 35 hours per week, the vacation accrual rate is 13 days annually for the first three years of employment and 18 days annually for subsequent years of employment. Vacation accrual is prorated for employees working between 20 and 34 hours per week. Employees working fewer than 20 hours per week are not eligible for vacation.

11 paid holidays

Paid sick leave: 72 hours of paid sick leave upon date of hire. Refreshes each calendar year. Unused balance will carry over each year up to a maximum cap of 112 hours.

Paid parental leave

Adoption assistance

Employee Stock Purchase Plan

Financial planning and group legal

Voluntary benefits including auto, homeowner and pet insurance

The role will generally accept applications for at least three calendar days from the posting date or as long as the job remains posted.

About Us

As a world leader in cloud solutions, Oracle uses tomorrow’s technology to tackle today’s problems. True innovation starts with diverse perspectives and various abilities and backgrounds.

When everyone’s voice is heard, we’re inspired to go beyond what’s been done before. It’s why we’re committed to expanding our inclusive workforce that promotes diverse insights and perspectives.

We’ve partnered with industry-leaders in almost every sector—and continue to thrive after 40+ years of change by operating with integrity.

Oracle careers open the door to global opportunities where work-life balance flourishes. We offer a highly competitive suite of employee benefits designed on the principles of parity and consistency. We put our people first with flexible medical, life insurance and retirement options. We also encourage employees to give back to their communities through our volunteer programs.

We’re committed to including people with disabilities at all stages of the employment process. If you require accessibility assistance or accommodation for a disability at any point, let us know by calling +1 888 404 2494, option one.

Disclaimer:

Oracle is an Equal Employment Opportunity Employer*. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, national origin, sexual orientation, gender identity, disability and protected veterans’ status, or any other characteristic protected by law. Oracle will consider for employment qualified applicants with arrest and conviction records pursuant to applicable law.

* Which includes being a United States Affirmative Action Employer

Job Description

The Role

The Marketing Applied Sciences team is responsible for developing analytics-driven solutions to help GM Organizations achieve their business goals. The individual will work as a member of a multi-disciplinary team of various experience levels that will be driving solution design, development, and deployment of analytic models in support of business facing analytic groups. The team is responsible for both advanced analytics strategy and applied, project-based solutions, focusing on the company’s most critical business areas.

As a Data Engineer, you will build analytical data sets in support of Advanced Analytics projects. You will work closely with our forward-thinking Researchers and Data Scientists to deliver value to our vision for the future. Are you ready to join a future facing team?

What You'll Will Do

Collaborate with the MAS team functions to develop data products for analytics solutions.

Design and develop data products that are compliant with data privacy and security policy to protect and manage sensitive data including customer data.

Drive the adoption of cloud-first technologies and industry-standard Data Engineering practices to accelerate and scale engineering capabilities. Collaborate with cross-functional teams including data governance, data architecture, release management, Data Ops & ML Ops, and infrastructure as required.

Automate new and existing data processes including non-structured sources, eliminating all manual effort to gather and ingest data.

Stay up to date with emerging trends and technologies in the field of Data Engineering and proactively find opportunities for improvement and innovation within our organization.

Foster a culture of continuous learning, knowledge sharing, and development within the team and the broader data engineering community.

Additional Job Description

Your Skills & Abilities (Required Qualifications)

5+ years of hands-on experience delivering enterprise-scale data and analytics solutions using modern hybrid cloud technologies with a focus on data curation for Customer Experience data science modeling and reporting.

Strong problem-solving and analytical skills with practical experience analyzing and curating large scale customer event data products from disparate data sources including 1st party and 3rd party data and map type data with variable structure.

In-depth knowledge of industry-standard Data Engineering practices including data privacy & security, ETL/ELT, data architecture, data quality assurance, performance optimization, source code management, release management, and operations.

Expert programming skills in data and analytics platforms, big data processing frameworks and languages, and development tools including Azure (or similar), Databricks, Spark, Python, SQL, and GitHub.

Effective communication and people skills, with the ability to collaborate effectively with cross-functional technical teams and non-technical stakeholders.

Naturally curious with the ability to work independently and proactively.

Experience working in an Agile development environment.

Education

Bachelor's degree (or equivalent work experience) in Computer Science, Data Science, or a related field. Master's degree is a plus

This role is based remotely but if you live within a 50-mile radius of Austin, TX, Roswell, GA, Mountain View, CA or Warren, MI you are expected to report to that location three times a week, at minimum.

This job is not eligible for relocation benefits. Any relocation costs would be the responsibility of the selected candidate.

Bonus Potential: An incentive pay program offers payouts based on company performance, job level, and individual performance.

Benefits : GM offers a variety of health and wellbeing benefit programs. Benefit options include medical, dental, vision, Health Savings Account, Flexible Spending Accounts, retirement savings plan, sickness and accident benefits, life insurance, paid vacation & holidays, tuition assistance programs, employee assistance program, GM vehicle discounts and more

GM DOES NOT PROVIDE IMMIGRATION-RELATED SPONSORSHIP FOR THIS ROLE. DO NOT APPLY FOR THIS ROLE IF YOU WILL NEED GM IMMIGRATION SPONSORSHIP (e.g., H-1B, TN, STEM OPT, etc.) NOW OR IN THE FUTURE.

#LI-CC1

About GM

Our vision is a world with Zero Crashes, Zero Emissions and Zero Congestion and we embrace the responsibility to lead the change that will make our world better, safer and more equitable for all.

Why Join Us

We aspire to be the most inclusive company in the world. We believe we all must make a choice every day – individually and collectively – to drive meaningful change through our words, our deeds and our culture. Our Work Appropriately philosophy supports our foundation of inclusion and provides employees the flexibility to work where they can have the greatest impact on achieving our goals, dependent on role needs. Every day, we want every employee, no matter their background, ethnicity, preferences, or location, to feel they belong to one General Motors team.

Benefits Overview

The goal of the General Motors total rewards program is to support the health and well-being of you and your family. Our comprehensive compensation plan incudes, the following benefits, in addition to many others:

• Paid time off including vacation days, holidays, and parental leave for mothers, fathers and adoptive parents;

• Healthcare (including a triple tax advantaged health savings account and wellness incentive), dental, vision and life insurance plans to cover you and your family;

• Company and matching contributions to 401K savings plan to help you save for retirement;

• Global recognition program for peers and leaders to recognize and be recognized for results and behaviors that reflect our company values;

• Tuition assistance and student loan refinancing;

• Discount on GM vehicles for you, your family and friends.

Diversity Information

General Motors is committed to being a workplace that is not only free of discrimination, but one that genuinely fosters inclusion and belonging. We strongly believe that workforce diversity creates an environment in which our employees can thrive and develop better products for our customers. We understand and embrace the variety through which people gain experiences whether through professional, personal, educational, or volunteer opportunities. GM is proud to be an equal opportunity employer.

We encourage interested candidates to review the key responsibilities and qualifications and apply for any positions that match your skills and capabilities.

Equal Employment Opportunity Statements

GM is an equal opportunity employer and complies with all applicable federal, state, and local fair employment practices laws. GM is committed to providing a work environment free from unlawful discrimination and advancing equal employment opportunities for all qualified individuals. As part of this commitment, all practices and decisions relating to terms and conditions of employment, including, but not limited to, recruiting, hiring, training, promotion, discipline, compensation, benefits, and termination of employment are made without regard to an individual's protected characteristics. For purposes of this policy, “protected characteristics" include an individual's actual or perceived race, color, creed, religion, national origin, ancestry, citizenship status, age, sex or gender (including pregnancy, childbirth, lactation and related medical conditions), gender identity or gender expression, sexual orientation, weight, height, marital status, military service and veteran status, physical or mental disability, protected medical condition as defined by applicable state or local law, genetic information, or any other characteristic protected by applicable federal, state or local laws and ordinances. If you need a reasonable accommodation to assist with your job search or application for employment, email us at Careers.Accommodations@GM.com or call us at 800-865-7580. In your email, please include a description of the specific accommodation you are requesting as well as the job title and requisition number of the position for which you are applying.​

We are leading the change to make our world better, safer and more equitable for all through our actions and how we behave. Learn more about:

Our Company (https://search-careers.gm.com/en/working-at-gm/)

Our Culture

How we hire​​​​​​​ (https://search-careers.gm.com/en/how-we-hire/)

Our diverse team of employees bring their collective passion for engineering, technology and design to deliver on our vision of a world with Zero Crashes, Zero Emissions and Zero Congestion. We are looking for adventure-seekers and imaginative thought leaders to help us transform mobility.

Explore our global location s

The policy of General Motors is to extend opportunities to qualified applicants and employees on an equal basis regardless of an individual's age, race, color, sex, religion, national origin, disability, sexual orientation, gender identity/expression or veteran status. Additionally, General Motors is committed to being an Equal Employment Opportunity Employer and offers opportunities to all job seekers including individuals with disabilities. If you need a reasonable accommodation to assist with your job search or application for employment, email us at Careers.Accommodations@GM.com .In your email, please include a description of the specific accommodation you are requesting as well as the job title and requisition number of the position for which you are applying.

Senior Data Engineer

Remote - US

Cleo is a cloud integration technology company focused on business outcomes. Every day, we ensure that each one of our 4,000+ customers' potential is realized by delivering solutions that make it easy to discover and create value through the connections and integration of enterprise applications supporting critical workflows. By providing the industry’s most complete and flexible integration offerings, we are helping our clients build trusted relationships across their partner ecosystems today, while providing all the control and visibility they need to advance their business tomorrow. In a nutshell, Cleo is a rapidly growing category leader in ecosystem integration software and we have experienced tremendous growth over recent years.

The  Senior Data Engineer  is a hands-on leader responsible for designing, developing, and maintaining data pipelines and infrastructure at Cleo. This role involves setting the strategy for data systems, collaborating closely with cross-functional teams, and ensuring the scalability, reliability, and efficiency of data solutions. The Senior Data Engineer will focus on data infrastructure needs for  AI/ML models  , overseeing the creation of a  data warehouse  and associated systems from scratch, and ensuring data is properly transformed and optimized for machine learning and artificial intelligence applications. This role is integral to building the processes that support  data transformation  ,  data structures  ,  metadata management  ,  data quality controls  , and  workload management  .

What You Will Be Doing

Lead the Design and Build of Data Pipelines  : Develop and maintain scalable, reliable, and efficient data pipelines that collect, process, and store large datasets. Ensure these systems are optimized for  AI/ML  model training and inference.

Set Data Infrastructure Strategy  : Define and execute the strategy for building and maintaining  data warehouses  ,  data lakes  , and other data storage systems that support both operational and analytical needs. Ensure systems are optimized for AI/ML model workflows.

Hands-On Data Transformation for AI/ML Models  : Design and implement data transformation processes, including  feature engineering  ,  data preprocessing  , and  data augmentation  , to ensure data is in the right format for machine learning models.

Build Data Structures and Metadata Management  : Build and manage the data structures, metadata repositories, and related systems that support data transformation, ensuring the organization has well-documented, accurate, and accessible data for AI/ML workflows.

Data Quality Controls and Risk Management  : Establish and implement data quality controls to ensure that data used in machine learning models is clean, consistent, and accurate. Identify and raise risks at all stages of the data engineering process, including data ingestion, transformation, and storage.

Collaborate with Cross-Functional Teams  : Work closely with  data scientists  ,  ML engineers  ,  product managers  , and business leaders to understand data requirements and ensure data systems meet the needs of AI/ML initiatives. Provide hands-on leadership to guide teams in transforming data for model training.

ETL Development and Optimization for AI/ML  : Lead the development and optimization of ETL (Extract, Transform, Load) processes for ML/AI data. Focus on efficiently moving and transforming large datasets, ensuring data quality and readiness for model training and deployment.

Optimize Data for Model Training and Inference  : Ensure data pipelines are designed to support the needs of AI/ML model training, such as handling large volumes of data, managing data quality, and enabling fast model iteration.

Data Governance for AI/ML  : Define and implement data governance practices to ensure the secure, compliant, and ethical use of data in AI/ML workflows.

Stay Current  : Keep up with emerging trends in data engineering, particularly those related to  AI/ML  model development, and implement best practices to optimize data systems for machine learning.

Your Qualifications

Experience  : 5-7+ years of experience in data engineering, with a focus on  transforming data for AI/ML models  and optimizing data systems to support machine learning and artificial intelligence workflows.

Hands-On Expertise  : Proven experience in hands-on  data transformation  and building  data pipelines  for AI/ML, including data preprocessing, feature engineering, and model-specific data handling.

Leadership  : Experience leading or mentoring data engineering teams, providing hands-on guidance for AI/ML-related projects and collaborating with cross-functional teams.

Cloud and Big Data  : Strong experience with  cloud platforms  and  big data technologies  , particularly in the context of  AI/ML model development  .

A few things we have to offer:

Competitive compensation

Great Healthcare + Dental + Vision

Flexible PTO

Culture of support, encouraging Life-Work balance

401k match

FSA and HSA options

Employee Assistance Program

Paid Parental Leave

Representing a company with 4,000+ clients and a 99% retention rate

Accelerated title and salary growth potential

A fun and energetic work environment that makes you excited to go to work every day

Cleo Communications, LLC is an equal opportunity/affirmative action employer and all qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, age, disability status, protected veteran status or any other characteristic protected by law.

Overview

GovCIO is currently hiring for a Sr. Cloud Azure Data Engineer. This position is a fully remote position within the United States.

Responsibilities

The ideal candidate will have a proven track record in leading and delivering Azure Data Analytics solutions with Enterprise level organizations. We are seeking someone who can enable advance analytic capabilities preparing a data lake by ingesting raw data from authoritative sources using defined patterns and curating the same to publish data products, using cloud native tools. You will be highly proficient working with business stakeholders and directing project teams and will have direct experience of a range of BI Tools and Platforms.

A proven track record designing and developing enterprise level data platforms. You will manage your own as well as others’ performance to deliver high quality, highly performant solutions to our customer.

You will be responsible for the design of solutions which will include:

Solution design using Microsoft Azure services and related tools

Design of enterprise data models and Data solutions

Specification of ELT (Extract, load and transform) pipelines, data integration and data migration design, with low code no code tools

Design & implementation of Master data management solutions

Specification of Data Quality Management methodology and supporting technology tools

Working within a project management/agile delivery methodology in a leading role as part of a wider team

Deal with other stakeholders/end users in the software development lifecycle – PMs, BAs, testing etc

Qualifications

Bachelor's degree in computer science, or other engineering or technical discipline is required plus 8 years of experience,4 years of additional relevant experience may be substituted for education

At least 2 years of Azure experience required

Direct experience of solution shaping and architecture development during planning & delivery including excellent documentation skills

Strong evidence of Data modeling, mapping data flows and data design

ELT experience

Hands-on experience solutioning and implementing analytical capabilities using the Azure Data Analytics platform including, Azure Data Factory, Azure Logic Apps, Azure Functions, Azure Storage, Azure SQL Data Warehouse/Synapse, Azure Data Lake

Experience in the design of reporting & data visualization solutions such as Power BI or Tableau

Experience with Master Data Management & Data Quality tools

Experience designing and implementing machine learning solutions as part of high-volume data ingestion and transformation pipelines

Microsoft Azure Data Platform certification ideal (DP-200, DP201)

Preferred Skills and Experience

Python

Azure DataBricks

Clea   rance Required  : Ability to obtain and maintain a Suitability/Public Trust

Company Overview

GovCIO is a team of transformers--people who are passionate about transforming government IT. Every day, we make a positive impact by delivering innovative IT services and solutions that improve how government agencies operate and serve our citizens.

But we can't do it alone. We need great people to help us do great things - for our customers, our culture, and our ability to attract other great people. We are changing the face of government IT and building a workforce that fuels this mission. Are you ready to be a transformer?

We are an Equal Opportunity Employer.  All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, gender, gender identity or expression, sexual orientation, national origin, disability, or status as a protected veteran. EOE, including disability/vets.

Posted Pay Range

The posted pay range, if referenced, reflects the range expected for this position at the commencement of employment, however, base pay offered may vary depending on multiple individualized factors, including market location, job-related knowledge, skills, education, experience, and internal equity. The total compensation package for this position may also include other compensation elements, to be discussed during the hiring process. If hired, employee will be in an “at-will position” and the GovCIO reserves the right to modify base salary (as well as any other discretionary payment or compensation program) at any time, including for reasons related to individual performance, GovCIO or individual department/team performance, and market factors.

Posted Salary Range

USD $120,000.00 - USD $140,000.00 /Yr.

Submit a referral to this job (https://careers-govcio.icims.com/jobs/5174/senior-data-engineer-%28remote%29/job?mode=apply&apply=yes&in_iframe=1&hashed=-1834385473)

Location   US-Remote

ID   2024-5174

Category   Information Technology

Position Type   Full-Time

Job Description

The Oracle Cloud Infrastructure Compute team is seeking a passionate, experienced Senior Data and Business Intelligence Engineer ready to tackle complex business and technical challenges through the visualization and analysis of data, in a fast-paced environment. As OCI continues to scale to demands of an ever-growing customer base and regions, we need engineers who can lead data-driven initiatives to ensure OCI continues to provide an outstanding customer experience while continuously improving the efficiency of development processes. The ideal candidate is someone who thrives in the face of ambiguity and can quickly distill abstract ideas into concrete solutions, and has a proven track record of delivering complex business intelligence and reporting solutions across a highly complex environment involving multiple organizations, departments and teams.

Location: ideally Seattle, WA, also open to Austin, TX or Santa Clara, CA - hybrid role 3 days in office

Career Level - IC3

Responsibilities

The Senior Data and Business Intelligence Engineer will be responsible for managing complex data pipelines, dashboards and business intelligence initiatives that impact both product and business for OCI. In addition, this specific role requires a passion for solving high-impact problems and the ability to jump into any in-flight project and get it on the rails.

Specific responsibilities for this role include:

Define and implement business data reporting and analysis requirements.

Perform data modelling and integration activities in data warehouse systems.

Implement business intelligence solutions to achieve data reporting and analysis goals.

Support the development of business intelligence standards to meet business goals.

Coordinate with the business units to identify new data requirements, analysis strategies and reporting mechanisms.

Assist in design and generation of reports in timely and accurate manner.

Train and guide the junior engineers in data reporting and analytical skills.

Recommend enhancements and modifications to optimize business intelligence processes.

Design, build, and maintain automated reporting, dashboards, and deep dives to enable our team to self-service 80% of data needs, allowing you to focus on answering hard and ambiguous problems.

Write high-quality SQL queries to retrieve and analyze data from database tables (ex. Oracle, MySQL).

Build scalable data solutions; data sets, views, queries, reports, dashboards, and scheduled processes.

Troubleshoot code, research root causes, document solutions, and communicate to all stakeholders.

Track reporting and production anomalies.

Ensure data is within required quality standards.

Keeps stakeholders informed about problems and resolutions. Deliver products on schedule and communicate updates regularly.

Identify, track, and resolve data issues, working in partnership with other Business Intelligence Engineers to ensure data is accurate, complete, delivered on-time and supports the needs of the business.

Basic Qualifications

5-8+ years relevant work experience in program and project management

3-5 years of hands-on SQL experience

Bachelor’s or higher degree in Computer Science, Information Technology or Engineering

The candidate must be proficient in Excel and SQL

Ability to effectively represent engineering perspectives to partner organizations, product teams, and executive leadership.

Excellent oral and written communications skills and experience interacting with both business and Development/Engineering staff at all levels including the executive level.

Solid analytical, planning, and interpersonal skills with an ability to handle competing demands.

Strong knowledge and understanding of business need with the ability to establish/maintain high level of customer trust and confidence.

Preferred Qualifications

Data visualization and polished communication skills.

Experience with cloud services, virtualization, or SaaS products

Maturity, judgment, negotiation/influence skills, analytical skills, and leadership skills

Self-driven problem solver; able to adapt and thrive in a dynamic, ambiguous, and customer-focused environment

Highly analytical, technically proficient, and able to learn new tools and software quickly

Demonstrated ability to effectively communicate (oral and written) at different levels in the org

Experience using agile software development practices and associated tooling

Job duties are varied and complex utilizing independent judgment. May have project lead role. 5 years relevant work experience. BS/BA preferred.

About Us

As a world leader in cloud solutions, Oracle uses tomorrow’s technology to tackle today’s problems. True innovation starts with diverse perspectives and various abilities and backgrounds.

When everyone’s voice is heard, we’re inspired to go beyond what’s been done before. It’s why we’re committed to expanding our inclusive workforce that promotes diverse insights and perspectives.

We’ve partnered with industry-leaders in almost every sector—and continue to thrive after 40+ years of change by operating with integrity.

Oracle careers open the door to global opportunities where work-life balance flourishes. We offer a highly competitive suite of employee benefits designed on the principles of parity and consistency. We put our people first with flexible medical, life insurance and retirement options. We also encourage employees to give back to their communities through our volunteer programs.

We’re committed to including people with disabilities at all stages of the employment process. If you require accessibility assistance or accommodation for a disability at any point, let us know by calling +1 888 404 2494, option one.

Disclaimer:

Oracle is an Equal Employment Opportunity Employer*. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, national origin, sexual orientation, gender identity, disability and protected veterans’ status, or any other characteristic protected by law. Oracle will consider for employment qualified applicants with arrest and conviction records pursuant to applicable law.

* Which includes being a United States Affirmative Action Employer

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