Senior Data Engineer, Measurement Science

General Motors - Springfield, IL

Full-time - Mid Level

Remote - Springfield, IL

Transportation Equipment Manufacturing

About the position

The Marketing Applied Sciences team at General Motors is dedicated to developing analytics-driven solutions that empower GM organizations to achieve their business objectives. As a Senior Data Engineer, you will be an integral part of a multi-disciplinary team, collaborating with various 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. In this position, you will be responsible for building analytical data sets that support Advanced Analytics projects. You will work closely with innovative Researchers and Data Scientists to deliver value aligned with GM's vision for the future. Your contributions will help shape the data products that drive analytics solutions, ensuring compliance with data privacy and security policies to protect sensitive customer data. You will also play a key role in promoting the adoption of cloud-first technologies and industry-standard Data Engineering practices, collaborating with cross-functional teams such as data governance, data architecture, and Data Ops & ML Ops. Your efforts will include automating data processes, eliminating manual efforts, and staying abreast of emerging trends and technologies in Data Engineering. Additionally, you will foster a culture of continuous learning and knowledge sharing within the team and the broader data engineering community.

Responsibilities

• Collaborate with the MAS team functions to develop data products for analytics solutions.
• Design and develop data products that comply with data privacy and security policies to protect sensitive data.
• Drive the adoption of cloud-first technologies and industry-standard Data Engineering practices.
• 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, to eliminate manual data gathering and ingestion.
• Stay updated with emerging trends and technologies in Data Engineering and proactively identify opportunities for improvement and innovation.
• Foster a culture of continuous learning, knowledge sharing, and development within the team and the broader data engineering community.

Requirements

• 5+ years of hands-on experience delivering enterprise-scale data and analytics solutions using modern hybrid cloud technologies.
• 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.

Nice-to-haves

• Master's degree in Computer Science, Data Science, or 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.