Data Engineer, Applied Analytics & Insights ID-21351

About the position

We are seeking a highly skilled and motivated Data Engineer to join our Applied Analytics & Insights (AA&I) organization at GM. In this role, you will develop high quality, scalable, and curated data products that power the AA&I portfolio. You will collaborate cross-functionally with product owners, data scientists, and partner teams to develop future-focused, consumer-centric, and prescriptive solutions aimed at enhancing GM's customer experience and profitability.

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Responsibilities

  • Collaborate with analytics delivery and data science teams in a matrixed reporting structure to develop analytics data products.
  • Design and develop data products that are compliant with data privacy and security policy to protect and manage sensitive customer data.
  • Drive the adoption of cloud-first technologies and industry-standard Data Engineering practices to accelerate and scale engineering.
  • Collaborate with partner teams including data governance, data architecture, release management, operations, and infrastructure as required.
  • Provide rotational on-call support as required.
  • Stay current with emerging Data Engineering trends and technologies and proactively find 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

  • Bachelor's degree (or equivalent work experience) in Computer Science, Data Science, or a related field.
  • 3+ years of hands-on experience delivering enterprise-scale data and analytics solutions using modern hybrid cloud technologies with a focus on data curation for data science modeling and reporting.
  • Expert programming skills in data and analytics platforms, big data processing frameworks and languages, and development tools including Azure (or similar), Databricks, Spark, SQL, Python, and GitHub.
  • 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.
  • Strong problem-solving and analytical skills with practical experience analyzing and curating large scale transactions and event data products from disparate data sources including 1st party and 3rd party data and data with varying formats.
  • Effective communication and people skills, with the ability to work well with technical and non-technical collaborators.
  • Naturally curious and able to work independently and proactively.
  • Experience working in an Agile development environment.

Benefits

  • Paid time off including vacation days, holidays, and parental leave for mothers, fathers and adoptive parents.
  • Healthcare (including a triple tax advantaged health savings account and wellness incentive), dental, vision and life insurance plans to cover you and your family.
  • Company and matching contributions to 401K savings plan to help you save for retirement.
  • Global recognition program for peers and leaders to recognize and be recognized for results and behaviors that reflect our company values.
  • Tuition assistance and student loan refinancing.
  • Discount on GM vehicles for you, your family and friends.
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