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 .

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.<h3>What You Will Be Doing</h3><ol><li>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.</li><li>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.</li><li>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.</li><li>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.</li><li>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.</li><li>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.</li><li>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.</li><li>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.</li><li>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.</li><li>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.</li></ol><h3>Your Qualifications</h3><ol><li>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.</li><li>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.</li><li>Leadership: Experience leading or mentoring data engineering teams, providing hands-on guidance for AI/ML-related projects and collaborating with cross-functional teams.</li><li>Cloud and Big Data: Strong experience with cloud platforms and big data technologies, particularly in the context of AI/ML model development.</li></ol><h3>A few things we have to offer:</h3><ol><li>Competitive compensation</li><li>Great Healthcare + Dental + Vision</li><li>Flexible PTO</li><li>Culture of support, encouraging Life-Work balance</li><li>FSA and HSA options</li><li>Employee Assistance Program</li><li>Representing a company with 4,000+ clients and a 99% retention rate</li><li>Accelerated title and salary growth potential</li><li>A fun and energetic work environment that makes you excited to go to work every day</li></ol>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.
#J-18808-Ljbffr

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

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 industrys 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.

DevOps / Data Engineer Anywhere Type: Contract Category: DevOps Industry: Retail Workplace Type: Remote Reference ID: JN -092024-90857 Date Posted: 11/14/2024 Shortcut: http://careers.eliassen.com/4vnMDK Description Recommended Jobs Description: 100% Remote role Our client is seeking a Senior DevOps Engineer / Data Engineer to lead the design, implementation, and management of their Azure infrastructure and deployment pipelines. They want you to leverage your extensive expertise in automation, containerization, and CI/CD to ensure scalability, reliability, and security for a highly complex, employee-facing data and analytics web application. Due to client requirement, applicants must be willing and able to work on a w2 basis. For our w2 consultants, we offer a great benefits package that includes Medical, Dental, and Vision benefits, 401k with company matching, and life insurance. Rate: $80 - $90 / hr. w2 Experience Requirements: 5 years of experience in DevOps or related roles. Ability to get ground breaking team officially set up, up and running in Azure DevOps Proven track record in Agile software product development. 8 years in scripting languages like Bash, Python, or Ruby and deployments on Azure Hands-on experience with containerization and orchestration tools like Docker, Kubernetes, or ECS. Strong understanding of CI/CD pipelines and automation tools such as Jenkins, GitLab CI, or CircleCI. Knowledge of infrastructure as code tools like Terraform would be a plus Previous experience as a member of an Inaugural Dev Team or start-ups is a plus Bachelor's degree in Computer Science, Engineering, or related field; advanced degree preferred Skills, experience, and other compensable factors will be considered when determining pay rate. The pay range provided in this posting reflects a W2 hourly rate; other employment options may be available that may result in pay outside of the provided range. W2 employees of Eliassen Group who are regularly scheduled to work 30 or more hours per week are eligible for the following benefits: medical (choice of 3 plans), dental, vision, pre-tax accounts, other voluntary benefits including life and disability insurance, 401(k) with match, and sick time if required by law in the worked-in state/locality. Please be advised- If anyone reaches out to you about an open position connected with Eliassen Group, please confirm that they have an Eliassen.com email address and never provide personal or financial information to anyone who is not clearly associated with Eliassen Group. If you have any indication of fraudulent activity, please contact InfoSeceliassen.com. About Eliassen Group: Eliassen Group is a leading strategic consulting company for human-powered solutions. For over 30 years, Eliassen has helped thousands of companies reach further and achieve more with their technology solutions, financial, risk & compliance, and advisory solutions, and clinical solutions. With offices from coast to coast and throughout Europe, Eliassen provides a local community presence, balanced with international reach. Eliassen Group strives to positively impact the lives of their employees, clients, consultants, and the communities in which they operate. Eliassen Group is an Equal Opportunity/Affirmative Action Employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, pregnancy, sexual orientation, gender identity, national origin, age, protected veteran status, or disability status. Dont miss out on our referral program If we hire a candidate that you refer us to then you can be eligible for a $1,000 referral check

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