Staff Data Engineer, Activation Science

Staff Data Engineer, Activation Science at General Motors in Boise, Idaho, United States Job Description 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 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? 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 To view full details and how to apply, please login or create a Job Seeker account