General Motors - Bismarck, ND

posted 2 months ago

Full-time - Senior
Remote - Bismarck, ND
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. The role requires a proactive approach to collaboration with the Marketing Applied Sciences team to develop data products for analytics solutions. You will design and develop these data products while ensuring compliance with data privacy and security policies to protect sensitive customer data. Your responsibilities will also include driving the adoption of cloud-first technologies and industry-standard Data Engineering practices to enhance and scale engineering capabilities. You will collaborate with cross-functional teams, including data governance, data architecture, release management, Data Ops & ML Ops, and infrastructure, as necessary. Automation of new and existing data processes, including non-structured sources, will be a key focus, aiming to eliminate manual efforts in data gathering and ingestion. Staying updated with emerging trends and technologies in Data Engineering will be essential, as will fostering 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.
  • 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 find opportunities for improvement and innovation.
  • Foster a culture of continuous learning, knowledge sharing, and development 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 practical 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, data architecture, and data quality assurance.
  • 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 to collaborate 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.
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