General Motors - Salt Lake City, UT

posted 2 months ago

Full-time - Senior
Remote - Salt Lake City, UT
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 team is focused on both advanced analytics strategy and applied, project-based solutions, targeting the company's most critical business areas. In this role, 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 including data governance, data architecture, release management, Data Ops & ML Ops, and infrastructure. Your responsibilities will include automating new and existing data processes, including those involving non-structured sources, to eliminate manual efforts in data gathering and ingestion. Staying abreast of emerging trends and technologies in Data Engineering will be crucial, as you will proactively seek opportunities for improvement and innovation within the organization. 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.
  • Automate new and existing data processes, including non-structured sources, to eliminate manual data gathering efforts.
  • Stay updated with emerging trends and technologies in Data Engineering and seek opportunities for improvement.
  • Foster a culture of continuous learning and knowledge sharing within the team.

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 experience analyzing and curating large scale customer event data products.
  • In-depth knowledge of industry-standard Data Engineering practices including data privacy & security, ETL/ELT, and data quality assurance.
  • Expert programming skills in data and analytics platforms, big data processing frameworks, and languages such as Azure, Databricks, Spark, Python, SQL, and GitHub.
  • Effective communication and collaboration skills with cross-functional technical teams and non-technical stakeholders.
  • Ability to work independently and proactively 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, including parental leave.
  • Tuition assistance programs and student loan refinancing.
  • Employee assistance program and GM vehicle discounts.
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