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 companys 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? This role reports to the Product Owner of Marketing Activation Science, with leadership visibility to the greater Enterprise Data, Analytics, and Insights organization focused on democratizing data and decisions. What You'll Do Collaborate with internal and external stakeholders, including Activation Data Science to deliver on the portfolio. Drive the adoption of cloud-first technologies and industry-standard Data Engineering practices to accelerate and scale our engineering capabilities. Adhere to standards and processes to validate, monitor, and support data products that enable our decision science portfolio and data science capabilities. Collaborate with cross-functional teams, including data governance, security, data architecture, release management, Dev & ML Ops, and infrastructure, to ensure seamless integration and alignment of data engineering initiatives. Stay up to date with emerging trends and technologies in the field of Data Engineering, and proactively identify opportunities for improvement and innovation within our organization. Participate in 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) 7+ years of hands-on experience developing and implementing enterprise-scale data and analytics solutions using modern hybrid cloud technologies with a focus on data pipelines and reporting. Bachelor's degree (or equivalent work experience) in Computer Science, Data Science, Software Engineering, or a related field. Master's degree is a plus. 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. Experience deploying machine learning models and process automation 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. A company vehicle will be provided for this role with successful completion of a Motor Vehicle Report review. 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.

Summary: Meta Platforms, Inc. (Meta), formerly known as Facebook Inc., builds technologies that help people connect, find communities, and grow businesses. When Facebook launched in 2004, it changed the way people connect. Apps and services like Messenger, Instagram, and WhatsApp further empowered billions around the world. Now, Meta is moving beyond 2D screens toward immersive experiences like augmented and virtual reality to help build the next evolution in social technology. To apply, click Apply to Job online on this web page. Required Skills: Data Engineer, Analytics Responsibilities: Design, model, and implement data warehousing activities to deliver the data foundation that drives impact through informed decision making. Design, build and launch collections of sophisticated data models and visualizations that support multiple use cases across different products or domains. Collaborate with engineers, product managers and data scientists to understand data needs, representing key data insights visually in a meaningful way. Define and manage SLA for all data sets in allocated areas of ownership. Create and contribute to frameworks that improve the efficacy of logging data, while working with data infrastructure to triage issues and resolve. 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. Solve challenging data integration problems utilizing optimal ETL patterns, frameworks, query techniques, and sourcing from structured and unstructured data sources. 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. Work on problems of moderate scope where analysis of situations or data requires a review of a variety of factors. Exercise judgment within defined procedures and practices to determine appropriate action. Telecommute from anywhere in the U.S. permitted. Minimum Qualifications: Minimum Qualifications: Requires a Bachelor's degree in Computer Science, Engineering, Information Systems, Mathematics, Statistics, Data Science, or a related field and 60 months of progressive, post- baccalaureate experience in the job offered or in a computer-related occupation. Requires 60 months of experience involving the following: Features, design, and use-case scenarios across a big data ecosystem Custom ETL design, implementation, and maintenance Schema design and dimensional data modeling Managing and communicating data warehouse plans to internal clients MapReduce or MPP system and Python. Public Compensation: $240,050/year to $279,400/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.

Summary: Meta Platforms, Inc. (Meta), formerly known as Facebook Inc., builds technologies that help people connect, find communities, and grow businesses. When Facebook launched in 2004, it changed the way people connect. Apps and services like Messenger, Instagram, and WhatsApp further empowered billions around the world. Now, Meta is moving beyond 2D screens toward immersive experiences like augmented and virtual reality to help build the next evolution in social technology. To apply, click Apply to Job online on this web page. Required Skills: Data Engineer, Analytics Responsibilities: <ol><li>Design, model, and implement data warehousing activities to deliver the data foundation that drives impact through informed decision making. </li><li>Design, build and launch collections of sophisticated data models and visualizations that support multiple use cases across different products or domains. </li><li>Collaborate with engineers, product managers and data scientists to understand data needs, representing key data insights visually in a meaningful way. </li><li>Define and manage SLA for all data sets in allocated areas of ownership. </li><li>Create and contribute to frameworks that improve the efficacy of logging data, while working with data infrastructure to triage issues and resolve. </li><li>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. </li><li>Solve challenging data integration problems utilizing optimal ETL patterns, frameworks, query techniques, and sourcing from structured and unstructured data sources. </li><li>Optimize pipelines, dashboards, frameworks, and systems to facilitate easier development of data artifacts. </li><li>Influence product and cross-functional teams to identify data opportunities to drive impact. </li><li>Work on problems of moderate scope where analysis of situations or data requires a review of a variety of factors. </li><li>Exercise judgment within defined procedures and practices to determine appropriate action. </li><li>Telecommute from anywhere in the U.S. permitted. </li> </ol>Minimum Qualifications: Minimum Qualifications: <ol start="13"><li>Requires a Bachelor's degree in Computer Science, Engineering, Information Systems, Mathematics, Statistics, Data Science, or a related field and 60 months of progressive, post- baccalaureate experience in the job offered or in a computer-related occupation. Requires 60 months of experience involving the following: </li><li><ol><li>Features, design, and use-case scenarios across a big data ecosystem </li> </ol></li><li><ol start="2"><li>Custom ETL design, implementation, and maintenance </li> </ol></li><li><ol start="3"><li>Schema design and dimensional data modeling </li> </ol></li><li><ol start="4"><li>Managing and communicating data warehouse plans to internal clients </li> </ol></li><li><ol start="5"><li>MapReduce or MPP system and </li> </ol></li><li><ol start="6"><li>Python. </li> </ol> </li> </ol>Public Compensation: $240,050/year to $279,400/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.

Summary: As a highly collaborative organization, our data engineers work cross-functionally with software engineering, data science, and product management to optimize growth, strategy, and experience for our 3 billion plus users, as well as our internal employee community. In this role, you will see a direct correlation between your work, company growth, and user satisfaction. Beyond this, you will work with some of the brightest minds in the industry, and you'll have a unique opportunity to solve some of the most interesting data challenges with efficiency and integrity, at a scale few companies can match. Required Skills: Data Engineer, Product Analytics Responsibilities: <ol><li>Conceptualize and own the data architecture for multiple large-scale projects, while evaluating design and operational cost-benefit tradeoffs within systems. </li><li>Create and contribute to frameworks that improve the efficacy of logging data, while working with data infrastructure to triage issues and resolve. </li><li>Collaborate with engineers, product managers, and data scientists to understand data needs, representing key data insights visually in a meaningful way. </li><li>Define and manage SLA for all data sets in allocated areas of ownership. </li><li>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. </li><li>Design, build, and launch collections of sophisticated data models and visualizations that support multiple use cases across different products or domains. </li><li>Solve our most challenging data integration problems, utilizing optimal ETL patterns, frameworks, query techniques, sourcing from structured and unstructured data sources. </li><li>Assist in owning existing processes running in production, optimizing complex code through advanced algorithmic concepts. </li><li>Optimize pipelines, dashboards, frameworks, and systems to facilitate easier development of data artifacts. </li><li>Influence product and cross-functional teams to identify data opportunities to drive impact. </li><li>Mentor team members by giving/receiving actionable feedback. </li> </ol>Minimum Qualifications: Minimum Qualifications: <ol start="12"><li>Bachelor's degree in Computer Science, Computer Engineering, relevant technical field, or equivalent practical experience. </li><li>5+ years experience in the data warehouse space. </li><li>5+ years experience in custom ETL design, implementation and maintenance. </li><li>5+ years experience with object-oriented programming languages. </li><li>7+ years experience with schema design and dimensional data modeling. </li><li>7+ years experience in writing SQL statements. </li><li>Experience analyzing data to identify gaps and inconsistencies. </li><li>Experience managing and communicating data warehouse plans to internal clients. </li> </ol>Preferred Qualifications: Preferred Qualifications: <ol start="20"><li>Master's or Ph.D degree in a STEM field </li><li>Experience with one or more of the following: data processing automation, data quality, data warehousing, data governance, business intelligence, data visualization, data privacy </li><li>Experience working with terabyte to petabyte scale data </li><li>Experience influencing product decisions with data. </li> </ol>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.

Become a part of our caring community and help us put health first This position requires US citizenship due to government contractual obligations. You have the opportunity to work in optimizing testing strategies and ensuring robust data accuracy, making you the cornerstone of successful software development. Your expertise will drive the creation of high-quality test data, helping teams to innovate with confidence. Embrace this challenge and lead the way in delivering flawless reliable test data. Job Description Summary The Junior Data Engineer is pivotal in designing, building, and maintaining advanced data processing architectures and solutions that facilitate the generation and movement of compliant test data. In this role, you will be a key player in optimizing testing strategies and ensuring data accuracy, thereby reinforcing the foundation of successful software development. Your expertise will enable the creation of high-quality test data, empowering teams to innovate confidently. Job Responsibilities Utilize tools like GenRocket and Informatica to generate artificial and de-identified test data. Collaborate closely with stakeholders to understand and fulfill data requirements for various projects. Aid in incremental data refreshes and enterprise-wide data refresh initiatives. Employ de-identification, obfuscation, artificial and database virtualization techniques to cleanse, organize, and transform data into compliant test data. Develop new capabilities such as the movement of specific, integrated data throughout the Humana ecosystem. Contribute to the creation of solutions from strategies formed by leadership, ensuring alignment with the Test Data Management strategies. Profile applications to identify sensitive data and make informed decisions on data handling to streamline stakeholder review processes. Job Requirements Bachelor's degree in engineering, Computer Science, or a related technical field. At least 2 years of professional experience in data engineering or a similar role. Proficiency in data generation and management tools such as GenRocket and Informatica. Strong understanding of data de-identification and obfuscation techniques. Ability to work independently with minimal direction and handle ambiguous situations. Excellent communication skills for effective stakeholder engagement. Strategic thinking and problem-solving capabilities. Preferred Qualifications Experience with database virtualization and working with large-scale data environments. Familiarity with healthcare industry standards and compliance requirements. Use your skills to make an impact About Humana At Humana, we are dedicated to ensuring our members receive the best possible care. As a part of our team, you will be at the forefront of transforming health care through innovative technology solutions. Join us and lead the way in delivering flawless, reliable test data. 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.$86,600 - $119,200 per yearThis 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.

Job Description The Role As a Senior Data Engineer, Applied Analytics & Insights (AA&I), you will play a crucial role in delivering future-focused, consumer-centric, prescriptive solutions that allow GM to stay proactive and nimble in our exciting transition to EVs. You will join the AA&I Analytics Engineering hub and will develop development of high-quality, scalable, and curated data products that power the AA&I Decision Science and Data Science portfolios. These portfolios serve several lines of business, including Loyalty, OnStar, Digital Services & Experience, and Growth Businesses. Additionally, you will collaborate with other AA&I Data Engineers and cross-functionally with partner teams to create a solid data engineering foundation. You will build industrialized data assets and optimize data pipelines in support of Business Intelligence and Advance Analytic objectives. You will work closely with our forward-thinking Data Scientists, BI Developers, System Architects and Data Architects to deliver value to our vision for the future. Are you ready to join a future facing team? What You Will Do Collaborate with the Decision Science and Data Science Innovation Hub functions in a matrixed reporting structure to develop data products for applied analytics solutions. Initial focus will be on Customer Experience use cases including Unified Customer Profiling & Identity Management, Clickstream Analytics, and Customer Engagement Insights. 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. 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. What Will Give you a Competitive Edge (Preferred Qualifications): Experience with Salesforce data. Experience with Contact Center data. Experience with Customer Event data. Experience customer identity management platforms such as Amperity. At least one cloud certification in Azure. This role is based remotely but if you live within a 50-mile radius of Austin or Warren, 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.

**Job ID Number** R3394 **Employment Type** Full time **Worksite Flexibility** Remote **Job Summary** As the Data Engineer, you will be responsible for implementing our data architecture to support our mission-critical reporting and analytics initiatives. **Job Description** We are looking for a **Data Engineer** to implement our data architecture to support our mission-critical reporting and analytics initiatives **.** This position will be **full-time** and **remote with on-site requirements once a month.** **What Youll Do** + Data Modeling: Develop and maintain conceptual, logical, and physical data models to ensure consistency, integrity, and usability of the data across different systems and applications + ETL Development: Design, develop, and optimize ETL processes to extract, transform, and load data from a wide range of sources, including MS Excel Sheets, Google Docs, SurveyMonkey, RedCap, MS Access Database, and external vendors' data warehouses + Data Integration: Integrate disparate data sources into a unified data platform, ensuring data consistency, accuracy, and completeness + Data Quality Management: Implement data quality processes and standards to monitor and improve data quality throughout the data lifecycle + Performance Tuning: Identify and resolve performance bottlenecks in data processing and reporting workflows to ensure optimal system performance and reliability + Collaboration: Collaborate with cross-functional teams, including Azure Architects, Research Scientists, Business Analysts, and stakeholders, to understand data requirements and translate them into technical solutions + Documentation: Create and maintain technical documentation, including data dictionaries, ETL specifications, and architectural diagrams + Training and Support: Provide training and support to internal teams on data engineering best practices, tools, and technologies **What You'll Need** Required: + Bachelor's or master's degree in computer science, Information Systems, or a related field + Minimum of 5 years of experience in data architecture and engineering roles + Strong expertise in designing and implementing data architecture solutions using MS Azure Data Warehouse, Azure Synapse, and related technologies + Proficiency in data modeling techniques and tools, such as ERwin, ER/Studio, or PowerDesigner + Hands-on experience with ETL development using tools like Azure Data Factory, SSIS, Informatica or similar + 5 years of prior experience working with ETL involving MS Excel + 5 years of prior experience working with ETL involving SurveyMonkey + 5 years of prior experience working with ETL involving Access Databases + 5 years of prior experience working with Azure Data Factory + 5 years of prior experience working with modeling using data modeling tools + 5 years of experience working with and writing SQL Scripts + 5 years of prior experience with Python + 5 years of prior experience with PySpark Preferred: + 2 years of prior experience working with ETL involving RedCap + 2 years of experience with Powershell + 2 years of prior work with PowerBI + 2 years of prior work with Tableau + 2 years of prior experience working with ETL involving GoogleDocs **Physical Demands** + Ability to safely and successfully perform the essential job functions consistent with the ADA and other federal, state and local standards + Sedentary work that involves sitting or remaining stationary most of the time with occasional need to move around the office to attend meetings, etc. + Ability to conduct repetitive tasks on a computer, utilizing a mouse, keyboard, and monitor **Reasonable Accommodation Statement** If you require a reasonable accommodation in completing this application, interviewing, completing any pre-employment testing, or otherwise participating in the employment selection process, please direct your inquiries to application.accommodations@cai.io or (888) 824 8111. **Equal Employment Opportunity Policy Statement** It is the policy of CAI not to discriminate against any employee or applicant due to race, color, religion, sex, sexual orientation, gender identity, national origin, age, marital status, genetic information, disability or being a protected veteran. It is also the policy of CAI 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 being a protected veteran, 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. Employees and applicants of CAI will not be subject to harassment due to race, color, religion, sex, sexual orientation, gender identity, national origin, age, marital status, genetic information, disability or being a protected veteran. Additionally, retaliation, including intimidation, threats, or coercion, because an employee or applicant has objected to discrimination, engaged or may engage in filing a complaint, assisted in a review, investigation, or hearing or have otherwise sought to obtain their legal rights under any Federal, State, or local EEO law is prohibited.

Data Engineer Jobs in Montgomery, AL

Staff Data Engineer Activation Science
August 31, 2024

Data Engineer Analytics
August 27, 2024

Data Engineer Analytics
August 26, 2024

Data Engineer Product Analytics
August 26, 2024

Junior Data Engineer Test Data Management
August 22, 2024

Data Engineer Product Analytics
August 22, 2024

Senior Data Engineer Applied Analytics Insights
August 22, 2024

Data Engineer
August 11, 2024

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Data Engineer Jobs in Montgomery, AL

Staff Data Engineer Activation ScienceAugust 31, 2024

Data Engineer AnalyticsAugust 27, 2024

Data Engineer AnalyticsAugust 26, 2024

Data Engineer Product AnalyticsAugust 26, 2024

Junior Data Engineer Test Data ManagementAugust 22, 2024

Data Engineer Product AnalyticsAugust 22, 2024

Senior Data Engineer Applied Analytics InsightsAugust 22, 2024

Data EngineerAugust 11, 2024