Staff Data Engineer, Activation Science

General Motors - Providence, RI

Full-time - Mid Level

Remote - Providence, RI

Transportation Equipment Manufacturing

About the position

The Staff Data Engineer for Activation Science at General Motors will be a key member of the Marketing Applied Sciences team, responsible for developing analytics-driven solutions to support business goals. This role involves building analytical data sets for Advanced Analytics projects and collaborating with researchers and data scientists to deliver value. The position emphasizes the adoption of cloud-first technologies and industry-standard data engineering practices, ensuring seamless integration of data engineering initiatives across various teams.

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 Data Engineering, proactively identifying opportunities for improvement and innovation.
• 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.
• 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, including Azure, 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.

Benefits

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