Staff Data Engineer, Activation Science

Key Skills

Agile methodologies, Azure, Data Engineering, Data science techniques, Effective communication skills, ETL/ELT technologies, Github, Machine learning techniques, Python Programming, SPARK Programming, SQL

Job Description

This role reports to the Product Owner of Marketing Activation Science, with leadership visibility to the greater Enterprise Data, Analytics, and Insights organization focused on democratizing data and decisions.

What You'll Do

• Collaborate with internal and external stakeholders, including Activation Data Science to deliver on the portfolio.
• Drive the adoption of cloud-first technologies and industry-standard Data Engineering practices to accelerate and scale our engineering capabilities.
• Adhere to standards and processes to validate, monitor, and support data products that enable our decision science portfolio and data science capabilities.
• Collaborate with cross-functional teams, including data governance, security, data architecture, release management, Dev & ML Ops, and infrastructure, to ensure seamless integration and alignment of data engineering initiatives.
• Stay up to date with emerging trends and technologies in the field of Data Engineering, and proactively identify opportunities for improvement and innovation within our organization.
• Participate in a culture of continuous learning, knowledge sharing, and development within the team and the broader data engineering community.

Your Skills & Abilities (Required Qualifications)

• 7+ years of hands-on experience developing and implementing enterprise-scale data and analytics solutions using modern hybrid cloud technologies with a focus on data pipelines and reporting.
• Bachelor's degree (or equivalent work experience) in Computer Science, Data Science, Software Engineering, or a related field. Master's degree is a plus.
• 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.
• Experience deploying machine learning models and process automation

This role is based remotely but if you live within a 50-mile radius of Austin, TX, Roswell, GA, Mountain View, CA or Warren, MI, you are expected to report to that location three times a week, at minimum.

This job is not eligible for relocation benefits. Any relocation costs would be the responsibility of the selected candidate.

A company vehicle will be provided for this role with successful completion of a Motor Vehicle Report review.

Bonus Potential: An incentive pay program offers payouts based on company performance, job level, and individual performance.

Benefits: GM offers a variety of health and wellbeing benefit programs. Benefit options include 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 and more.

GM DOES NOT PROVIDE IMMIGRATION-RELATED SPONSORSHIP FOR THIS ROLE. DO NOT APPLY FOR THIS ROLE IF YOU WILL NEED GM IMMIGRATION SPONSORSHIP (e.g., H-1B, TN, STEM OPT, etc.) NOW OR IN THE FUTURE.