Senior Data Engineer

General Motors; Warren (MI); Hybride; USD 125 000 - 169 000; Plein temps

Avantages offerts par ce poste

Relocation benefits

Health and wellbeing programs

Résumé du poste

General Motors is seeking a senior Data Engineer focused on Fivetran to design and optimize industrial data pipelines supporting BI and analytics. You will lead cross-functional efforts, work on real-time plant data, and ensure scalable, maintainable solutions across cloud platforms and on-prem components.

The role blends software engineering with data engineering, requiring collaboration, mentorship, and adherence to agile practices. Expect a hybrid schedule across TX and MI locations.

Qualifications

• Bachelor’s degree or equivalent in CS/Engineering or related field.
• 7+ years in data engineering with Python/Scala, SQL, and data storage.
• 3+ years in Spark and Kubernetes; strong streaming with Kafka.
• Experience with Fivetran, cloud platforms (Azure preferred).
• Solid CI/CD and big data tech exposure; data modeling skills.

Responsabilités

• Assemble large, complex data sets to meet business needs.
• Design and optimize end-to-end data pipelines with Fivetran.
• Lead data-driven solutions across languages/tools, ensure SLA.
• Develop scalable batch/streaming pipelines with Databricks.
• Collaborate across teams, mentor engineers, drive architectural decisions.
• Maintain documentation and automate deployments.

Connaissances

Python/Scala

SQL

Spark

Kubernetes

Fivetran

Azure

CI/CD

Databricks

Delta Lake

Data modeling

Formation

Bachelor’s degree in Computer Science or related field

Outils

Fivetran

Databricks

Azure

Kafka

Hadoop

S3/ADLS

Description du poste

Job Description

This role is categorized as hybrid. This means the successful candidate is expected to report to Austin Technical Center in Austin, TX or GM Global Tech Center in Michigan, MI three times per week, at minimum [or other frequency dictated by the business if more than 3 days].

The Role

As a Data Engineer with Fivetran tool focus, you will design, build, and optimize industrialized data assets and data pipelines in support of Business Intelligence and Advanced Analytics objectives. In this role within the Intelligent Manufacturing organization under Data Engineering Software, you will deliver high-quality, scalable solutions that meet both functional and non-functional business requirements. You will contribute to projects across databases, streaming technology, CI/CD, and cloud platforms.

The Intelligent Manufacturing teams are responsible for ideating, incubating, and delivering new plant data solutions for General Motors Manufacturing and our partners. We integrate with business and IT teams to develop real-time solutions that leverage plant floor data to improve decisions, plant asset maintenance, safety, and operational performance, as well as Vehicle Build Data.

This is a senior-level role that blends strong data engineering skills with modern software engineering practices. You will help lead and deliver innovative, scalable, and maintainable data-driven solutions—writing high-quality, tested, production-ready code that meets customer needs and scales without rework. You will work in a collaborative, cross-disciplinary environment, handle complex challenges, contribute to architectural discussions, and help shape solutions that improve performance, scalability, and maintainability, while also ensuring alignment with business priorities.

What You’ll Do

• Assemble large, complex data sets that meet functional and non-functional business requirements.
• Identify, design, and implement process improvements, including automation, data delivery optimization, and infrastructure redesign for scalability.
• Lead and deliver data-driven solutions across multiple languages, tools, and technologies.
• Develop and configure end-to-end data pipelines using Fivetran, ensuring efficient extraction, transformation, and loading (ETL) processes. Integration Setup: Connect multiple data sources (APIs, SaaS platforms, databases) to Fivetran and manage schema mapping and transformations.
• Monitor pipeline performance, troubleshoot issues, and implement improvements for scalability and reliability.
• Contribute to architecture discussions, solution design, and strategic technology adoption.
• Build and optimize highly scalable data pipelines incorporating complex transformations and efficient code.
• Design and develop new source system integrations from varied formats (files, database extracts, APIs).
• Design and implement solutions for delivering data that meets SLA requirements.
• Work with operations teams to resolve production issues related to the platform.
• Apply best practices such as Agile methodologies, design thinking, and continuous deployment.
• Develop tooling and automation to make deployments and production monitoring more repeatable.
• Collaborate with business and technology partners, providing leadership, best practices, and coaching.
• Mentor peers and junior engineers; educate colleagues on emerging industry trends and technologies.

Your Skills & Abilities (Required Qualifications)

• Bachelor’s degree in Computer Science, Software Engineering, or related field, or equivalent experience
• 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 in distributed data processing (Spark) and container orchestration (Kubernetes)
• Proficiency in data streaming in Kubernetes and Kafka
• Proven experience with Fivetran (pipeline setup, connectors, transformations)
• Experience with cloud platforms – Azure preferred; AWS or GCP also considered.
• Solid understanding of CI/CD principles and tools
• Familiarity with big data technologies such as Hadoop, Hive, HBase, Object Storage (ADLS/S3), Event Queues.
• 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
• Advanced understanding of data normalization and denormalization techniques.
• Translate enterprise requirements into effective data models and address project requirements when applicable.
• Design, build, and optimize scalable batch and streaming data pipelines using Databricks (Apache Spark, Delta Lake) to support Medalion Architecture.
• Automate workflows and maintain clear documentation for all data processes.
• Contribute to the design and operational management of a cloud-native data platform on Azure, integrating services such as Azure Data Lake Storage, Event Hubs, Azure SQL, and AKS.
• Monitor and troubleshoot data pipelines and platform workloads. Optimize Spark jobs, cluster configurations, and SQL warehouses to improve performance
• 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, 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 (video, audio, image)
• Experience with Databricks, Snowflake, or similar platforms

This job may be eligible for relocation benefits.

Compensation

• The expected base compensation for this role is: $125,000 - $168,650. 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.)

About GM

Our vision is a world with Zero Crashes, Zero Emissions and Zero Congestion and we embrace the responsibility to lead the change that will make our world better, safer and more equitable for all.

Why Join Us

We believe we all must make a choice every day – individually and collectively – to drive meaningful change through our words, our deeds and our culture. Every day, we want every employee to feel they belong to one General Motors team.

Benefits Overview

From day one, we're looking out for your well-being–at work and at home–so you can focus on realizing your ambitions. Learn how GM supports a rewarding career that rewards you personally by visiting Total Rewards resources.

Non-Discrimination and Equal Employment Opportunities (U.S.)

General Motors is committed to being a workplace that is not only free of unlawful discrimination, but one that genuinely fosters inclusion and belonging. We strongly believe that providing an inclusive workplace creates an environment in which our employees can thrive and develop better products for our customers.

All employment decisions are made on a non-discriminatory basis without regard to sex, race, color, national origin, citizenship status, religion, age, disability, pregnancy or maternity status, sexual orientation, gender identity, status as a veteran or protected veteran, or any other similarly protected status in accordance with federal, state and local laws.

We encourage interested candidates to review the key responsibilities and qualifications for each role and apply for any positions that match their skills and capabilities. Applicants in the recruitment process may be required, where applicable, to successfully complete a role-related assessment(s) and/or a pre-employment screening prior to beginning employment. To learn more, visit How we Hire.

Accommodations

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