General Motors - Bismarck, ND
posted 2 months ago
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.