Senior Data Engineer

General Motors Company; Austin (TX); Híbrido; USD 125.000 - 169.000; Jornada completa

Ventajas ofrecidas por este puesto de trabajo

Medical, dental, vision benefits

Retirement savings plan

GM vehicle discounts

Descripción de la vacante

General Motors Company is seeking a Senior Data Engineer to design and operate reliable data platforms and user-facing applications. You will blend data engineering with front-end work in React, partnering with product and analytics teams to deliver end-to-end solutions from ingestion to APIs.

Responsibilities include building scalable pipelines, data models, APIs, and frontend features while ensuring data quality, observability, and secure data handling.

Formación

• 5+ years of professional experience in data engineering or related field.
• BS in Computer Science, Software Engineering or Data Science, or equivalent experience.
• Strong SQL and Python/Scala/Java plus cloud data platforms (Azure, AWS or GCP).
• Experience designing ETL/ELT pipelines and working with data warehouses or lakehouse platforms.
• Hands-on front-end experience with React and TypeScript preferred.

Responsabilidades

• Design, build, and maintain scalable batch and streaming data pipelines.
• Develop data models, warehouses, and lakehouse solutions for analytics and apps.
• Build data services and APIs exposing trusted data to applications.
• Develop front-end features using React and modern web practices.
• Collaborate with product and analytics teams to translate data needs into interfaces.
• Establish data quality checks, observability, lineage, and alerting.
• Improve performance, security, and cost efficiency across systems.
• Apply engineering best practices: code review, testing, CI/CD, and documentation.
• Mentor engineers and contribute to roadmaps and architecture decisions.

Conocimientos

Data engineering

SQL

Python/Scala/Java

ETL/ELT pipelines

React front-end

REST/GraphQL APIs

Cloud platforms (Azure AWS GCP)

CI/CD & testing

Data modeling & warehousing

Observability & data quality

Educación

Bachelor's degree in Computer Science, Software Engineering, Data Science, or related field

Herramientas

Apache Spark

Kafka

Airflow

dbt

Docker

Kubernetes

Descripción del empleo

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

The Role

We're seeking a Senior Data Engineer to design and operate reliable data platforms while helping build user-facing applications that make data accessible and actionable. This role combines strong data engineering fundamentals with hands-on experience developing front-end applications in React. You'll partner with product, analytics, and engineering teams to deliver end-to-end solutions—from ingestion and transformation through APIs and intuitive interfaces.

What You'll Do

• Design, build, and maintain scalable batch and streaming data pipelines.
• Develop and optimize data models, warehouses, and lakehouse solutions for analytics and application use cases.
• Build and maintain data services and APIs that securely expose trusted, well-documented data to applications.
• Develop responsive front-end features using React, JavaScript or TypeScript, and modern web development practices.
• Collaborate with product designers and stakeholders to translate workflows and data needs into clear, usable interfaces.
• Establish data quality checks, observability, lineage, and alerting; investigate and resolve pipeline and application issues.
• Improve performance, reliability, security, and cost efficiency across data and application systems.
• Apply engineering best practices, including code review, automated testing, CI/CD, documentation, and maintainable architecture.
• Mentor engineers, provide technical guidance, and contribute to roadmaps and architectural decisions.

Your Skills & Abilities (Required Qualifications)

• 5+ years of professional experience in data engineering, software engineering, or a closely related field.
• Bachelor’s degree in Computer Science, Software Engineering, Data Science, or a related field, or equivalent experience.
• Strong proficiency in SQL and a programming language used for data engineering, such as Python, Scala, or Java and cloud data platforms like Azure, AWS or GCP.
• Experience designing production-grade ETL/ELT pipelines and working with data warehouses, data lakes, or lakehouse platforms.
• Hands-on experience building or maintaining front-end applications with React; familiarity with TypeScript and component-based UI patterns.
• Experience integrating front-end applications with REST or GraphQL APIs and handling asynchronous data states, errors, and loading behavior.
• Understanding of data modeling, schema evolution, data quality, and distributed processing concepts.
• Experience with cloud platforms and modern deployment or orchestration tools.
• Strong communication and problem-solving skills, with the ability to work across technical and nontechnical teams.

What Can Give You a Competitive Advantage (Preferred Qualifications)

• Experience with tools such as Apache Spark, Kafka, Airflow, dbt, or comparable technologies.
• Experience with cloud data platforms such as Snowflake, BigQuery, Databricks, Redshift, or comparable services.
• Familiarity with Docker, Kubernetes, infrastructure as code, and cloud-native architectures.
• Experience with front-end testing tools, accessibility practices, and design systems.
• Experience implementing authentication, authorization, and secure handling of sensitive data.
• A track record of mentoring teammates and leading delivery across multiple systems or teams.

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 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.

Benefits

• 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.

Immigration Sponsorship

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.).

This job may be eligible for relocation benefits.

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.

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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.

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.

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