General Motors - Boise, ID

posted 2 months ago

Full-time - Senior
Remote - Boise, ID
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, ensuring that data products are developed in compliance with data privacy and security policies, particularly concerning sensitive customer data. You will also drive 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 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 be expected to identify opportunities for improvement and innovation within the organization. Additionally, fostering a culture of continuous learning and knowledge sharing within the team and the broader data engineering community will be a key aspect of your role.

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 identify 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 people skills to collaborate with cross-functional 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, including parental leave.
  • Tuition assistance programs and student loan refinancing.
  • Employee assistance program and GM vehicle discounts.
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