Quick Summary
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,
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.
Responsibilities
~1 min read- →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.
Requirements
~2 min read- 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.
- 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.
This job may be eligible for relocation benefits.
What We Offer
~2 min readOur 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.
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.
General Motors offers opportunities to all job seekers including individuals with disabilities. If you need a reasonable accommodation to assist with your job search or application for employment, email us or call us at 1-800-865-7580. In your email, please include a description of the specific accommodation you are requesting as well as the job title and requisition number of the position for which you are applying.
Location & Eligibility
About this job
- Pay per year
- $125,000–$168,650 a year
- 7% below the $157,500 median for Data Engineer jobs on Jobera (725 salaries).
- Who can apply
- United States
- Posted
- 1 day ago
Listing Details
- Posted
- November 6, 2026
- First seen
- November 6, 2026
- Last seen
- November 6, 2026
Posting Health
- Days active
- 0
- Repost count
- 0
- Trust Level
- 68%
- Scored at
- November 6, 2026
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