General Motors - Tallahassee, FL

posted 2 months ago

Full-time - Senior
Remote - Tallahassee, FL
Transportation Equipment Manufacturing

About the position

As a Senior Data Engineer in the Applied Analytics & Insights (AA&I) team at General Motors, you will be instrumental in developing consumer-centric, prescriptive solutions that support GM's transition to electric vehicles (EVs). This role involves working within the AA&I Analytics Engineering hub to create high-quality, scalable, and curated data products that serve various business lines, including Loyalty, OnStar, Digital Services & Experience, and Growth Businesses. You will collaborate with other data engineers and cross-functional teams to establish a robust data engineering foundation that enhances decision-making processes across the organization. Your primary responsibilities will include building industrialized data assets and optimizing data pipelines to support Business Intelligence and Advanced Analytics objectives. You will work closely with Data Scientists, BI Developers, System Architects, and Data Architects to deliver value aligned with GM's vision for the future. This position requires a proactive approach to staying updated with emerging trends and technologies in Data Engineering, as well as identifying opportunities for improvement and innovation within the organization. You will also foster a culture of continuous learning and knowledge sharing within the team and the broader data engineering community. In this role, you will focus on developing data products for applied analytics solutions, particularly in Customer Experience use cases such as Unified Customer Profiling & Identity Management, Clickstream Analytics, and Customer Engagement Insights. You will ensure that all data products comply with data privacy and security policies, protecting sensitive customer data while driving the adoption of cloud-first technologies and industry-standard Data Engineering practices.

Responsibilities

  • Collaborate with the Decision Science and Data Science Innovation Hub to develop data products for applied analytics solutions.
  • Design and develop data products compliant with data privacy and security policies.
  • Drive the adoption of cloud-first technologies and industry-standard Data Engineering practices.
  • Stay updated with emerging trends and technologies in Data Engineering.
  • 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.
  • Experience working in an Agile development environment.

Nice-to-haves

  • Experience with Salesforce data.
  • Experience with Contact Center data.
  • Experience with Customer Event data.
  • Experience with customer identity management platforms such as Amperity.
  • At least one cloud certification in Azure.

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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