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About the Role

Vehicle Data Engineering is seeking a Senior Data Engineer to design, build, and operate data products that transform connected-vehicle signals into trusted insights, health information, and proactive customer experiences. This role will leverage real-time streaming, cloud data platforms, APIs, analytics, and artificial intelligence to deliver secure, reliable, and explainable data capabilities at scale. The ideal candidate is a hands-on technical leader capable of moving from architecture to production implementation, improving engineering standards, and collaborating effectively with various teams.

Responsibilities

Design and develop production-grade batch and real-time data pipelines for connected-vehicle telemetry, trip and session data, diagnostic signals, and vehicle-health indicators.
Build streaming applications that ingest, enrich, validate, deduplicate, curate, and publish event-driven data for downstream services, notifications, reporting, and analytics.
Develop reliable data products using Apache Flink, Apache Spark Structured Streaming, Java, Python, and SQL.
Work with Azure services including Azure Kubernetes Service, Event Hubs, Azure Data Explorer, Azure Key Vault, Azure Databricks, Azure Monitor, and Application Insights.
Design and maintain data contracts, schemas, APIs, and event models using GraphQL, REST, gRPC, JSON, and cloud-event patterns.
Apply artificial intelligence and machine learning to data engineering problems such as anomaly detection, data-quality triage, predictive health signals, intelligent operations, and engineering productivity.
Build or integrate generative artificial intelligence capabilities, including large language model applications, embeddings, vector search, retrieval-augmented generation, agentic workflows, prompt engineering, evaluation, and safety guardrails.
Create automated tests, performance benchmarks, integration tests, and validation checks for high-volume data and event-driven systems.
Establish observability with OpenTelemetry, Datadog, Grafana, Prometheus, dashboards, monitors, service-level objectives, and actionable alerts.
Secure data in transit and at rest and apply privacy, consent, retention, lineage, access-control, and regional compliance requirements to vehicle and location data.
Automate infrastructure and delivery using Kubernetes, Helm, Argo CD, Terraform, continuous integration, continuous delivery, and infrastructure-as-code practices.
Participate in architecture reviews, code reviews, incident response, root-cause analysis, operational readiness, and on-call support as needed.
Mentor engineers, raise technical standards, document design decisions, and contribute to a culture of quality, ownership, and continuous improvement.

Requirements

Bachelor’s degree in computer science, computer engineering, data engineering, information systems, or a related technical field, or equivalent experience.
5+ years of professional experience in data engineering, software engineering, distributed systems, or a related field.
Strong hands-on experience with Java or Python, SQL, object-oriented design, data structures, algorithms, and automated testing.
Experience designing and operating production data pipelines using Apache Flink, Apache Spark, Kafka, Azure Event Hubs, or comparable streaming technologies.
Experience with cloud-native development on Microsoft Azure and containerized workloads running on Kubernetes.
Experience with Databricks, Delta Lake, distributed data processing, data modeling, and performance optimization.
Experience designing APIs and event-driven systems using GraphQL, REST, gRPC, asynchronous HTTP clients, or equivalent technologies.
Experience with schema evolution, data contracts, data-quality validation, lineage, observability, and privacy-aware data handling.
Demonstrated experience applying machine learning, artificial intelligence, or generative artificial intelligence in a production engineering, analytics, or data-product environment.
Working knowledge of large language models, embeddings, vector databases or vector search, retrieval-augmented generation, prompt design, model evaluation, and responsible artificial intelligence practices.
Ability to troubleshoot complex distributed systems and communicate technical decisions clearly to both technical and nontechnical audiences.
Ability to work effectively in a collaborative, agile, cross-functional environment.

Skills

Java
Python
SQL
Object-oriented design
Data structures
Algorithms
Automated testing
Apache Flink
Apache Spark
Kafka
Azure Event Hubs
Cloud-native development
Microsoft Azure
Kubernetes
Databricks
Delta Lake
Distributed data processing
Data modeling
Performance optimization
GraphQL
REST
gRPC
Schema evolution
Data contracts
Data-quality validation
Lineage
Observability
Privacy-aware data handling
Machine learning
Artificial intelligence
Generative artificial intelligence
Large language models
Embeddings
Vector databases
Vector search
Retrieval-augmented generation
Prompt design
Model evaluation
Responsible artificial intelligence
OpenTelemetry
Datadog
Grafana
Prometheus
Helm
Argo CD
Terraform
Continuous integration
Continuous delivery
Infrastructure-as-code

Location

Austin Technical Center

Work Type

Hybrid

Experience Level

Senior
5+ years

Education Level

Bachelor’s degree in computer science, computer engineering, data engineering, information systems, or a related technical field, or equivalent experience.
Master’s degree in computer science, data science, artificial intelligence, machine learning, or a related field.

Salary/Compensations

$125,000 - $191,500

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

About the Company

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.
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.

Equal Opportunity

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.
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.