Senior Data Engineer

General Motors • Full-time • Remote (United States) • 1w ago

This role is based remotely but if you live within a 50-mile radius of [Austin, Detroit, Milford or Mountain View], you are expected to report to that location three times a week, at minimum.

The Role

The Marketing Applied Sciences team is responsible for developing analytics-driven solutions to help GM Marketing Organizations achieve their business goals. The Sr. Data Engineer role is responsible for designing, developing and maintaining data pipelines, databases and data infrastructure to enable the efficient data collection, storage and analysis in support of marketing strategies. This role requires collaboration with data scientists, data infrastructure architects and data consumption stakeholders to ensure the availability of high-quality data for insights and decision making is available and will deliver value to the GM strategic vision for the future and meet prioritized business needs.  This role drives to deliver innovative solutions with technical fidelity and thrives to work effectively across a cross-functional data and stakeholder ecosystem.

What You’ll Do

Develop accurate, consistent analytical datasets to support advanced data science and business intelligence initiatives.
Evaluate business requirements, identify relevant data sources, and create datasets that enable actionable insights.
Profile and assess data quality to ensure alignment with business objectives and analytical needs.
Integrate and transform data from multiple sources, building scalable and optimized data pipelines.
Maintain comprehensive metadata, logical models, and data dictionaries for all analytical assets.
Act as the subject matter expert (SME) for analytical datasets, providing guidance and resolving inquiries from data scientists.
Design and implement process improvements, including automation, data delivery optimization, and infrastructure scalability.
Collaborate with business and technology partners to address data-related issues and define infrastructure requirements.
Ensure data quality, security, and compliance with governance and privacy regulations.
Lead and mentor team members and contract resources, driving best practices and educating peers on emerging technologies.

Your Skills & Abilities (Required Qualifications)

Bachelor’s degree in Computer Science, MIS, Software Engineering, or a related field.
5 - 7+ years of data engineering/development experience, including Python or Scala, SQL, and relational/non-relational data storage. (ETL frameworks, big data processing, NoSQL).
3+ years of experience as a data engineer or in a similar role.
3+ years of experience in distributed data processing (Spark) and container orchestration (Kubernetes).
Proficiency in data streaming in Kubernetes and Kafka.
Experience with cloud platforms – Azure preferred; AWS or GCP also considered.
Solid understanding of CI/CD principles and tools.
Familiar with predictive / analytical modeling techniques, theories, principles, and practices.
Strong understanding of performance optimization techniques such as partitioning, clustering, and caching.
Proficiency with SQL, key-value datastores, and document stores.
Familiarity with data architecture and modeling concepts to support efficient data consumption.
Strong collaboration and communication skills; ability to work across multiple teams and disciplines.

What Can Give You a Competitive Advantage (Preferred Qualifications)

Master’s degree in Computer Science, MIS, Software Engineering, or related field.
Knowledge of data governance, metadata management, or data quality/observability.
Familiarity with schema design and data contracts.
Experience handling various file formats.
Experience with Databricks, Snowflake, or similar platforms.
Experience designing and implementing robust data ingestion frameworks for heterogeneous data sources (structured/unstructured files, external files).

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

Compensation:

The expected base compensation for this role is: $129,400 - $212,300. Actual base compensation within the identified range will vary based on factors relevant to the position.
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 NOW OR IN THE FUTURE. THIS INCLUDES DIRECT COMPANY SPONSORSHIP, ENTRY OF GM AS THE IMMIGRATION EMPLOYER OF RECORD ON A GOVERNMENT FORM, AND ANY WORK AUTHORIZATION REQUIRING A WRITTEN SUBMISSION OR OTHER IMMIGRATION SUPPORT FROM THE COMPANY (e.g., H-1B, OPT, STEM OPT, CPT, TN, J-1, etc.)

#LI-CC1