Senior Business Intelligence Data Engineer

General Motors

Senior Business Intelligence Data Engineer responsible for data migration and ETL process optimization within GM. Collaborating across teams to ensure analytics-ready data flows.

Posted 5/10/2026full-timeWarren • Missouri • 🇺🇸 United StatesSeniorWebsite

Tech Stack

Tools & technologies

CloudETLInformaticaMySQLOraclePySparkSQL

About the role

Key responsibilities & impact

Collaborate with stakeholders, including data analysts, data scientists, architects, and business teams, to ensure data solutions meet organizational requirements and compliance standards.
Design, develop, and maintain data pipelines to transfer data from various databases to Databricks, leveraging both batch and real-time methodologies as appropriate.
Lead the overall ETL/ELT architecture, including extraction, transformation, and data loading strategies, ensuring scalability, performance, and data integrity.
Optimize and tune ETL/ELT processes for large-scale and real-time data movement, ensuring resource efficiency.
Ensure data security, quality, and compliance across the whole process.
Model, integrate, and optimize data structures in the Databricks platform, taking into account data lakes, data warehousing needs, and analytics workloads.
Automate and monitor data workflows for reliability, transparency, and fault tolerance throughout the migration and beyond.
Document data flows, transformation logic, and technical specifications for all data integration processes, enabling maintainability and smooth knowledge transfer.

Requirements

What you’ll need

Bachelor’s Degree in Computer Science, Data Analytics, Engineering, Operations Management or related field
5+ years of experience in data engineering or related roles, with demonstrated expertise in database migrations and ETL/ELT process design.
Deep hands-on experience with databases Oracle, SQL Server, MySQL, Teradata, Snowflake
In-depth knowledge of Databricks (including PySpark, Databricks SQL, and Lakehouse architectures).
Expertise in ETL/ELT tools and frameworks (e.g., Informatica, Talend, Databricks Workflows, or custom pipelines).
Proven ability to design and implement scalable, efficient data pipelines and to optimize complex transformations in modern cloud environments.
Demonstrated experience in data modeling and integration for analytics and BI use cases.
Excellent communication and documentation skills for cross-functional collaboration and process transparency.

Benefits

Comp & perks

Health insurance
401(k) matching
Flexible work hours
Paid time off
Remote work options

ATS Keywords

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Applicant Tracking System Keywords

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Hard Skills & Tools

ETLELTdata pipelinesdata modelingdata integrationdatabase migrationsdata warehousingdata lakesPySparkDatabricks SQL

Soft Skills

communicationcollaborationdocumentationleadershiporganizational skills