Senior Quality Data and AI Engineer

Join GM’s Quality & Safety Data Platform team to build trustworthy batch and streaming data products, integrate AI into data workflows, and deliver user-facing applications.

Responsibilities

• Design and productionize reliable batch and streaming data products on Azure Databricks using Spark Declarative Pipelines and Delta Lake.
• Use Unity Catalog and Bronze, Silver, Gold patterns to support quality, warranty, and AI application use cases.
• Find and implement opportunities to apply AI across data workflows to 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 with JavaScript or TypeScript, following modern web development practices.
• Partner with product designers and stakeholders to turn workflows and data needs into usable interfaces.
• Implement 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.
• Gate agent releases using evaluation of task success, tool use, grounding, latency, and cost.
• Mentor engineers and provide technical guidance; contribute to roadmaps and architectural decisions.

Requirements

• 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 related field (or equivalent experience).
• Strong proficiency in SQL, Python, PySpark, plus a data engineering programming language 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 understanding of responsible and secure AI use.
• Hands-on experience building or maintaining front-end applications with React, including familiarity with component-based UI patterns.
• Experience integrating front-end applications with REST or similar APIs, including 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 ability to collaborate across technical and nontechnical teams.

Technologies

• Azure Databricks
• Spark Declarative Pipelines
• Delta Lake
• Unity Catalog
• Bronze, Silver, Gold
• Spark
• React, JavaScript, TypeScript
• SQL, Python, PySpark, Scala, Java
• REST, APIs, ETL, ELT
• CI/CD

Preferred Qualifications

• Experience with tools such as Apache Spark, Kafka, Airflow, or comparable technologies.
• Experience with cloud data platforms such as Snowflake, BigQuery, 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

• Base salary (expected): $125,000 - $168,650 per year
• Bonus potential: incentive pay program with payouts based on company performance, job level, and individual performance
• Actual base compensation within the identified range varies based on factors relevant to the position.

Benefits

• 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

Accommodations

If you need a reasonable accommodation to assist with your job search or application for employment, email us or call 1-800-865-7580. In your email, include a description of the specific accommodation you are requesting, along with the job title and requisition number.