Senior Quality Data & AI Engineer — Hybrid (Austin)

General Motors Company; Austin (TX); Hybrid; USD 125,000 - 169,000; Full time

Benefits offered by this job

Health insurance

Retirement savings plan

Paid vacation & holidays

GM vehicle discounts

Job summary

General Motors seeks a Senior Quality Data & AI Engineer to design and operate reliable data platforms, applying AI to data engineering while building front-end interfaces with React. You will work with Azure Databricks, Spark pipelines, and data services, delivering end-to-end solutions from ingestion to APIs.

Collaboration with product, analytics, and engineering teams is essential for scalable, secure, and observable systems.

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, Python, PySpark and a programming language used for data engineering, such as Scala, or Java.
• Experience designing production-grade ETL/ELT pipelines and working with data warehouses, data lakes, or lakehouse platforms.
• Practical experience using AI tools and services to improve data engineering workflows, with an understanding of responsible and secure AI use.
• Hands-on experience building or maintaining front-end applications with React; familiarity with component-based UI patterns.
• Experience integrating front-end applications with REST or similar APIs and handling asynchronous data states, errors, and loading behavior.
• Understanding of data modeling, schema evolution, data quality, and distributed processing concepts.
• Strong experience with Databricks on a cloud platform, building and supporting scalable data pipelines.
• Strong communication and problem-solving skills, with the ability to work across technical and nontechnical teams.

Responsibilities

• Develop and productionize reliable batch and streaming data products in Azure Databricks, using Spark Declarative Pipelines, Delta Lake, Unity Catalog, and Bronze, Silver, and Gold patterns that quality, warranty, and AI applications can trust.
• Identify opportunities to apply AI across data workflows and deliver solutions that improve efficiency, quality, or decision-making.
• 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, workload identity, security, cost, observability, and production support, and gate agent releases with evaluation of task success, tool use, grounding, latency, and cost.
• Mentor engineers, provide technical guidance, and contribute to roadmaps and architectural decisions.

Skills

SQL

Python

PySpark

Scala/Java

React

AI/ML in data

Data engineering

APIs integration

Education

Bachelor’s degree in CS/Software/Data

Tools

Databricks

REST APIs

React Front-end

Kubernetes

Job description

General Motors seeks a Senior Quality Data & AI Engineer to design and operate reliable data platforms, applying AI to data engineering while building front-end interfaces with React. You will work with Azure Databricks, Spark pipelines, and data services, delivering end-to-end solutions from ingestion to APIs.

Collaboration with product, analytics, and engineering teams is essential for scalable, secure, and observable systems.