Staff Data Engineer, Activation Science

General Motors - Bismarck, ND

Full-time - Mid Level

Remote - Bismarck, ND

Transportation Equipment Manufacturing

About the position

The Marketing Applied Sciences team at General Motors is dedicated to developing analytics-driven solutions that empower various GM organizations to achieve their business objectives. As a Data Engineer, you will be an integral part of a multi-disciplinary team, collaborating with professionals of varying experience levels to design, develop, and deploy analytic models that support business-facing analytic groups. This role emphasizes both advanced analytics strategy and applied, project-based solutions, focusing on the company's most critical business areas. You will be responsible for building analytical data sets that support Advanced Analytics projects, working closely with innovative Researchers and Data Scientists to deliver value aligned with GM's vision for the future. This position reports to the Product Owner of Marketing Activation Science and has visibility within the broader Enterprise Data, Analytics, and Insights organization, which is focused on democratizing data and decision-making across the company. In this role, you will collaborate with internal and external stakeholders, including Activation Data Science, to deliver on the portfolio of projects. You will drive the adoption of cloud-first technologies and industry-standard Data Engineering practices, which are essential for accelerating and scaling GM's engineering capabilities. Adhering to established standards and processes, you will validate, monitor, and support data products that enable the decision science portfolio and enhance data science capabilities. Your collaboration will extend to cross-functional teams, including data governance, security, data architecture, release management, Dev & ML Ops, and infrastructure, ensuring seamless integration and alignment of data engineering initiatives. Staying abreast of emerging trends and technologies in Data Engineering will be crucial, as you will proactively identify opportunities for improvement and innovation within the organization. Additionally, you will participate in fostering a culture of continuous learning, knowledge sharing, and development within the team and the broader data engineering community.

Responsibilities

• 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 engineering capabilities.
• Adhere to standards and processes to validate, monitor, and support data products that enable the 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 the organization.
• Participate in a culture of continuous learning, knowledge sharing, and development within the team and the broader data engineering community.

Requirements

• 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.

Nice-to-haves

• Master's degree in a related field.

Benefits

• Medical, dental, and vision insurance options.
• Health Savings Account and Flexible Spending Accounts.
• Retirement savings plan with company and matching contributions.
• Sickness and accident benefits.
• Life insurance coverage.
• Paid vacation and holidays.
• Tuition assistance programs.
• Employee assistance program.
• GM vehicle discounts.
• Global recognition program for peers and leaders.