Description
The RoleThe Marketing Applied Sciences team is responsible for developing analytics-driven solutions to help GM Organizations achieve their business goals. The individual will work as a member of a multi-disciplinary team of various experience levels that will be driving solution design, development, and deployment of analytic models in support of business facing analytic groups. The team is responsible for both advanced analytics strategy and applied, project-based solutions, focusing on the company's most critical business areas.As a Data Engineer, you will build analytical data sets in support of Advanced Analytics projects. You will work closely with our forward-thinking Researchers and Data Scientists to deliver value to our vision for the future. Are you ready to join a future facing team?What You'll Will DoCollaborate with the MAS team functions to develop data products for analytics solutions. Design and develop data products that are compliant with data privacy and security policy to protect and manage sensitive data including customer data.Drive the adoption of cloud-first technologies and industry-standard Data Engineering practices to accelerate and scale engineering capabilities. Collaborate with cross-functional teams including data governance, data architecture, release management, Data Ops ML Ops, and infrastructure as required.Automate new and existing data processes including non-structured sources, eliminating all manual effort to gather and ingest data. Stay up to date with emerging trends and technologies in the field of Data Engineering and proactively find opportunities for improvement and innovation within our organization.Foster a culture of continuous learning, knowledge sharing, and development within the team and the broader data engineering community.
Additional 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.EducationBachelor's degree (or equivalent work experience) in Computer Science, Data Science, or a related field. Master's degree is a plusThis role is based remotely but if you live within a 50-mile radius of Austin, TX, Roswell, GA, Mountain View, CA or Warren, MI you are expected to report to that location three times a week, at minimum.This job is not eligible for relocation benefits. Any relocation costs would be the responsibility of the selected candidate.Bonus Potential: An incentive pay program offers payouts based on company performance, job level, and individual performance. Benefits: GM offers a variety of health and wellbeing benefit programs. Benefit options include medical, dental, vision, Health Savings Account, Flexible Spending Accounts, retirement savings plan, sickness and accident benefits, life insurance, paid vacation holidays, tuition assistance programs, employee assistance program, GM vehicle discounts and moreGM 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
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General Motors is committed to being a workplace that is not only free of unlawful 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 encourage interested candidates to review the key responsibilities and qualifications for each role and apply for any positions that match their skills and capabilities. Applicants in the recruitment process may be required, where applicable, to successfully complete a role-related assessment(s) and/or a pre-employment screening prior to beginning employment. To learn more, visit How we Hire
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At General Motors, our vision is to create a world with Zero Crashes, Zero Emissions, and Zero Congestion. We wholeheartedly embrace the responsibility to lead the change that will make our world better, safer, and more equitable for all.
Our industry and company are undergoing a once-in-a-lifetime technological transformation, which is reshaping our approach to technology and innovation. We are expanding our horizons through new technology platforms and driving innovations that deliver exceptional value to our customers.
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At General Motors, our purpose is to pioneer the innovations that move and connect people to what matters. We’re driving the world forward, together. We’re building vehicle software alongside its hardware, hands-free driving that will lead to autonomy, and EVs that charge your home for an all-electric future.
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Employees engage in a combination of remote and on-site work.
Roles that are categorized as Hybrid mean that the successful candidate is expected to report onsite to the designated facility at least three times per week or other frequency as dictated by the business.
