Senior Data Engineer, Applied Analytics & Insights

General Motors - Madison, WI

Full-time - Senior

Remote - Madison, WI

Transportation Equipment Manufacturing

About the position

As a Senior Data Engineer, Applied Analytics & Insights (AA&I), you will play a crucial role in delivering future-focused, consumer-centric, prescriptive solutions that allow GM to stay proactive and nimble in our exciting transition to EVs. You will join the AA&I Analytics Engineering hub and will develop high-quality, scalable, and curated data products that power the AA&I Decision Science and Data Science portfolios. These portfolios serve several lines of business, including Loyalty, OnStar, Digital Services & Experience, and Growth Businesses. Additionally, you will collaborate with other AA&I Data Engineers and cross-functionally with partner teams to create a solid data engineering foundation. You will build industrialized data assets and optimize data pipelines in support of Business Intelligence and Advance Analytic objectives. You will work closely with our forward-thinking Data Scientists, BI Developers, System Architects, and Data Architects to deliver value to our vision for the future. Are you ready to join a future-facing team?

Responsibilities

• Collaborate with the Decision Science and Data Science Innovation Hub functions in a matrixed reporting structure to develop data products for applied analytics solutions, focusing on Customer Experience use cases.
• Design and develop data products that are compliant with data privacy and security policy to protect and manage sensitive data including customer data.
• Drive the adoption of cloud-first technologies and industry-standard Data Engineering practices to accelerate and scale engineering capabilities.
• Collaborate with cross-functional teams including data governance, data architecture, release management, Data Ops & ML Ops, and infrastructure as required.
• Stay up to date with emerging trends and technologies in the field of Data Engineering and proactively find opportunities for improvement and innovation within our organization.
• Foster a culture of continuous learning, knowledge sharing, and development within the team and the broader data engineering community.

Requirements

• 5+ years of hands-on experience delivering enterprise-scale data and analytics solutions using modern hybrid cloud technologies with a focus on data curation for Customer Experience data science modeling and reporting.
• Strong problem-solving and analytical skills with practical experience analyzing and curating large scale customer event data products from disparate data sources including 1st party and 3rd party data and map type data with variable structure.
• 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.
• Expert programming skills in data and analytics platforms, big data processing frameworks and languages, and development tools including Azure (or similar), Databricks, Spark, Python, SQL, and GitHub.
• Effective communication and people skills, with the ability to collaborate effectively 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

• 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, vision, Health Savings Account, Flexible Spending Accounts
• Retirement savings plan
• Sickness and accident benefits
• Life insurance
• Paid vacation & holidays
• Tuition assistance programs
• Employee assistance program
• GM vehicle discounts