Resource 1 is in need of a Data Engineer for a remote contract position with our client in Chicago, Illinois. The selected individual will join a team responsible for the migration of a data warehouse from Microsoft Azure to AWS. This position requires deep expertise in AWS technologies such as Redshift, EC2, and Glue. Will play a pivotal part in migrating, optimizing, and managing data infrastructure on AWS. Individual will collaborate with cross-functional teams to ensure a seamless transition and optimize the performance of the data warehouse on AWS. Key Responsibilities: Migration of data warehouse from Azure to AWSDesign, configure, and optimize Amazon Redshift clusters to store and process large datasets. Work on the performance tuning of Redshift queries and ensure high availability and scalability.Develop ETL pipelines using AWS Glue to facilitate data integration between sources and Redshift.Implement monitoring tools and strategies for performance optimization of AWS resources (Redshift, Glue, EC2) and ensure smooth data flow across the infrastructure.Work closely with Data Analysts, Data Scientists, and other stakeholders to design data models, build pipelines, and ensure the availability of clean, accurate, and reliable data.Use Redshift ML to build and deploy machine learning models within the Redshift environment.Advocate for cloud architecture best practices, data security, and cost-efficient strategies. Required Qualifications: <ul><li>5+ years of experience as a Data Engineer, with a strong focus on AWS technologies.</li><li>Experience migrating data warehouse from Azure to AWS.</li><li>Experience working with AWS Redshift, AWS Glue, and AWS EC2.Expertise in designing/ building scalable ETL pipelines and data architectures on AWS.</li><li>Expertise in Redshift (clustering, querying, schema design, performance tuning).Strong knowledge of AWS Glue for ETL workflows and data integration. Proficient in AWS EC2 for cloud compute management. Familiarity with Redshift ML (optional, but a plus).Experience with AWS services such as S3, IAM, Lambda, and CloudWatch is beneficial.</li><li>Familiarity with cloud cost optimization strategies.</li><li>Proficiency in SQL and Python for data processing and automation.</li></ul> Preferred Qualifications: Redshift ML and integrating machine learning models within the Redshift ecosystem.AWS CloudFormation or Terraform for infrastructure automation.DevOps practices and CI/CD pipelines in context of data engineering.

RPG Code to SQL stored procedureExperience with Dynamic SQLExpert SQL stored procedures development experience in db2 IBM iseries platformConversion/modernization experience from RPG to SQL stored procedures in db2 IBM tools such as Aldon, RDI, ACS etcApplication development experience interacting with front end using REST APIs, Json, XMLexposure to python, microservices, VS code IDE development

OverviewGovCIO is currently hiring forLead ETL Engineer (or Data Scientist) to join our ETL Team focused on ingesting and visualizing data from all over the cloud and alerting on deviations of normalization. This position will be located in Hanover, MD and will be a fully remote position.ResponsibilitiesExtracts, transforms, loads, and analyzes data to create descriptive and predictive models that impact productivity, decision making, and provide strategic mission impact. Data Integration - Employs ETL tools and programming languages to collect and blend data from operational and relevant external systems. Data Analysis -- Conducts data mining, machine learning, and statistical analyses to develop predictive and descriptive models from diverse datasets. Data Visualization -- Performs data discovery and creates visualizations to interpret and present findings in a compelling and usable manner. Maintains and integrates analytical systems with operational systems, verifying the accuracy of the data and analytics. Collaborates with both business and data SMEs.Generates new business insights through data extraction, storage, transformation, analysis, and visualization of diverse data sets.Parses and transform structured, unstructured, relational, and NoSQL data using custom code to ensure seamless integration and data quality. Understands and uses distributed (e.g. MapReduce) methods that scale multi-Terabyte sized data collections.Design and implement ETL solutions within an AWS environment, utilizing tools such as AWS Glue, Data Pipeline, and Lambda to efficiently extract, transform, and load data across various sources and storage solutions.Utilizes Infrastructure as Code (IaC) to automate the provisioning and management of cloud ETL resources, ensuring consistency, scalability, and rapid deployment across development and production environments.Analyzes data using data mining, machine learning, and statistical algorithms available in COTS tools (e.g. SAS, SPSS, and Oracle); builds analytical solutions using programming languages (e.g. R, Python, SAS), and programming libraries (e.g. Python SciKit, R Caret, PostgreSQL MADlib, Apache Spark MLlib).Interprets and evaluates the accuracy of results using iterative, agile methodologies, facilitating continuous improvement through regular feedback loops and collaboration with cross-functional teams.Applies data discovery and data visualization tools (e.g. Kibana, Tableau, Vega) to develop compelling, actionable, useful data stories.Works closely with data SMEs, business, and management to prioritize business and information needs.QualificationsHS Diploma with 9+ years experience/professionalClearance: SecretWill accept a SECRET clearance but must be able to obtain a Top Secret clearance.Required Skills and ExperienceMust have or obtain IAT level II/III certification (i.e., CompTIA Security+(CE))Demonstrated experience or certifications in Linux and/or AWS GovCloud technologies2+ years of experience managing small teams, setting priorities, and interfacing / reporting to leadershipPreferred Skills and ExperienceStrong interpersonal skills to collaborate with customers and internal cross-functional teamsExperience with virtual and/or cloud based servers and applications (AWS GovCloud Specific)Comfortable with speaking in front of large audiences and performing demos of toolsetsExcellent technical documentation and reporting skillsEffective written and oral communication skillsExperience working in an Agile environmentCertification(s) in relevant technologiesActive Top Secret clearance#NSS#ARCompany OverviewGovCIO 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 RangeThe 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 RangeUSD $155,000.00 - USD $172,000.00 /Yr.Submit a referral to this job (https://careers-govcio.icims.com/jobs/4765/remote-technical-lead-data-engineer/job?mode=apply&apply=yes&in_iframe=1&hashed=-1834385473)Location US-RemoteID 2024-4765Category IT Infrastructure & Network Engineering & OperationsPosition Type Full-Time

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 systemsCreate and contribute to frameworks that improve the efficacy of logging data, while working with data infrastructure to triage issues and resolveCollaborate with engineers, product managers, and data scientists to understand data needs, representing key data insights visually in a meaningful wayDefine and manage Service Level Agreements for all data sets in allocated areas of ownershipDetermine 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 ownershipDesign, build, and launch collections of sophisticated data models and visualizations that support multiple use cases across different products or domainsSolve our most challenging data integration problems, utilizing optimal Extract, Transform, Load (ETL) patterns, frameworks, query techniques, sourcing from structured and unstructured data sourcesAssist in owning existing processes running in production, optimizing complex code through advanced algorithmic conceptsOptimize pipelines, dashboards, frameworks, and systems to facilitate easier development of data artifactsInfluence product and cross-functional teams to identify data opportunities to drive impactMentor team members by giving/receiving actionable feedbackMinimum Qualifications:Minimum Qualifications:Bachelor's degree in Computer Science, Computer Engineering, relevant technical field, or equivalent7+ 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 positions7+ 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 fieldPublic Compensation:$173,000/year to $242,000/year + bonus + equity + benefitsIndustry: InternetEqual 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.

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 <ul> <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> </ul> Your Qualifications <ul> <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> </ul> A few things we have to offer: <ul> <li> Competitive compensation </li> <li> Great Healthcare + Dental + Vision </li> <li> Flexible PTO </li> <li> Culture of support, encouraging Life-Work balance </li> <li> 401k match </li> <li> FSA and HSA options </li> <li> Employee Assistance Program </li> <li> Paid Parental Leave </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> </ul> 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.

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

Overview

Position Overview:

In this role you will bean integral partofthe Data Engineering teamresponsible forbuildinghighquality,robust and scalable data platform environmentsand solutions to supportour data lake and data warehouse environments. Our team collaboratesclosely withotherengineering,analyticsand data scienceteamstoidentifyand implementoptimaldatasolutionsfortheWellframeplatform.

About Wellframe:

With Wellframe, we reimagine healthcare relationships througha new approachthat uses high-tech to deliver the high-touch support people need, when and where they need it. We call it Digital Health Management. Our comprehensive suite of Digital Health Management solutions for care management, advocacy, and navigation help organizations forge more meaningful connections with members, across their healthcare journey.Wellframewas founded to counter a pressing industry problem: the healthcare system has struggled to find ways to support people in between care settings, at scale. We believe health plans are in the best position to advocate for their members as they navigate their health andcare, butknow that technology alonecan’thelp us achieve this ambition.That’swhy our team of physicians, clinicians, public health experts, data scientists, engineers, and healthcare industry experts ensure our patented technology works in service of the person-to-person connections that make healthcare work best. The complete suite of solutions fromHealthEdgedelivers a digital foundation for payers specifically designed to fuel a digital transformation, reduce costs, and improve both clinical outcomes and the member experience.

Your Impact:

Translate technical stories into software solutions

Create data processing pipelines and solutions toacquireandtransform data from various sources(structured,nonstructured)

Ensure the reliability and efficiency of our data platform, object storage, and data warehouse environments.

Create and refine backlog to translate business requirements into data solutions

Create andvalidatetechnical designs with other engineers

Communicate technical decisions effectively with relevant stakeholders

Maintain a high standard for code quality for yourself and others on the team, including automated testing

Take technical ownership in areas of a project where applicable, contributing to technical design, development, testing and on time delivery with high quality

Debug and fix challenging production issuesto ensure data and platform availability

Participate in on-call rotation to ensure exemplary uptime and reliability

Work with customer support to triage, diagnose, and resolve bugs

Identifyand lead process and technology improvements

Identifyprocess,toolingand feature improvements to improve product quality and engineering productivity

Contribute to the team’s roadmap for implementing technical and process improvements

What You Bring:

BS or MS in Computer Science, ComputerEngineeringor closely related field

At least3 years of experience with cloud-based environments like GCP, AWS, Azure

At least3 years of experience writing object-oriented code with languages like Python

Experience with pipeline orchestration tools like Apache Airflow,Airbyte,Dagster, or AWS Glue.

Experience with cloud data warehouses likeBigQuery, Snowflake, or Redshift.

Experience with relational/transactional databases such as PostgreSQL, MongoDB, or MySQL.

Experience with event streaming systems like Kafka, Pub-Sub, or ActiveMQis preferred

Understanding of large data processing systems likeDataBricks, Sparkis preferred

Strong communicationand collaboration skills, comfortable explaining technical problemstoanon-technicalaudience.

Excellent analytical abilities and problem-solving skills, with a strongcapacityto translate business requirements into effective data solutions.

Possesses a keen eye foridentifyingdata patterns and a passion for continuous improvement, combined with a love for data and a flair for creativity!

Demonstrates a keen interest in understanding the products that the data supports, ensuring alignment between data insights and business objectives

Accepts feedback graciously

Strives not to commit the same mistake twice

Staysup to dateon industry best practices andnew technologies

Promotes quality through automated testing and other measures

Strong senseof ownership

Thrives on diverse technical challenges

Passionate aboutleveragingtheir technical skills to help improve patient care

Works effectively in a fast-paced, agile startup environment

HealthEdge commits to building an environment and culture that supports the diverse representation of our teams. We aspire to have an inclusive workplace. We aspire to be a place where all employees have the opportunity to belong, make an impact and deliver excellent software and services to our customers.

Geographic Responsibility: WhileHealthEdgeislocatedinBurlington, MA you may live anywhere in the US

Type of Employment: Full-time, permanent

Work Environment: The physical demands described here are representative of those that must be met by an employee to successfully perform the essential functions of this job:

The employeeis occasionally required tomove around the office. Specific vision abilities required by this job include close vision, color vision, peripheral vision, depth perception, and ability to adjust focus.

Work across multiple time zones in a hybrid or remote work environment.

Long periodsof time sitting and/or standing in front of a computer using video technology.

May require travel dependent on company needs.

The above statements are intended to describe the general nature and level of the job being performed by the individual(s) assigned to this position. They are not intended to be an exhaustive list of all duties, responsibilities, and skills required. HealthEdge reserves the right to modify, add, or remove duties and to assign other duties as necessary. In addition, reasonable accommodations may be made to enable individuals with disabilities to perform the essential functions of this position in compliance with the Americans with Disabilities Act of 1990. Candidates may be required to go through a pre-employment criminal background check.

HealthEdge is an equal opportunity employer. We are committed to workforce diversity and actively encourage all qualified persons to seek employment with us, including, but not limited to, racial and ethnic minorities, women, veterans and persons with disabilities.

#LI-Remote

Job Locations US-Remote

ID 2024-4955

Category Engineering

Position Type Full-Time

HealthEdge provides equal employment opportunities to all employees and applicants for employment and prohibits discrimination and harassment of any type without regard to race, color, religion, age, sex, national origin, disability status, genetics, protected veteran status, sexual orientation, gender identity or expression, or any other characteristic protected by federal, state or local laws.

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.

Data Engineer Jobs in Helena, MT

Aws Data Engineer Contract Remote
December 21, 2024

Remote Db2 Data Engineer
December 20, 2024

Remote Technical Lead Data Engineer
December 19, 2024

Data Engineer Product Analytics
December 19, 2024

Senior Data Engineer
December 19, 2024

Senior Data Engineer
December 4, 2024

Data Engineer
November 26, 2024

Data Engineer Product Analytics
November 26, 2024

Quick filters

Top companies

Data Engineer Jobs in Helena, MT

Aws Data Engineer Contract RemoteDecember 21, 2024

Remote Db2 Data EngineerDecember 20, 2024

Remote Technical Lead Data EngineerDecember 19, 2024

Data Engineer Product AnalyticsDecember 19, 2024

Senior Data EngineerDecember 19, 2024

Senior Data EngineerDecember 4, 2024

Data EngineerNovember 26, 2024

Data Engineer Product AnalyticsNovember 26, 2024