Senior Data Engineer

General Motors

. Design, build, and maintain scalable batch and streaming data pipelines .

Posted 11/6/2026full-timeAustin • Texas • United StatesSenior💰 $125,000 - $168,650 per yearWebsite

Core Competencies

Role fit

Core Competencies

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Demonstrates expertise in designing and maintaining scalable data pipelines and data services, with strong proficiency in SQL and programming languages such as Python or Java. Capable of collaborating with cross-functional teams to deliver robust data solutions while ensuring data quality and security.

Highest-signal resume keywords

Data EngineeringSQL ProficiencyETL/ELT Pipeline DesignReact Front-End DevelopmentCloud Data Platforms

ATS Keywords

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Applicant Tracking System Keywords

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Hard Skills

SQLPythonJavaData ModelingETL/ELTData WarehousingData LakesREST APIsGraphQLAsynchronous Data Handling

Soft Skills

Strong CommunicationProblem-SolvingMentoring

Tools & Technologies

AzureAWSGCPApache SparkKafkaAirflowSnowflakeBigQueryDockerKubernetes

Industry Keywords

Data EngineeringSoftware EngineeringCloud-Native ArchitecturesCI/CDAutomated Testing

Tech Stack

Tools & technologies

AirflowAmazon RedshiftApacheAWSAzureBigQueryCloudDockerETLGoogle Cloud PlatformGraphQLJavaJavaScriptKafkaKubernetesPythonReactScalaSnowflakeSparkSQLTypeScript

About the role

Key responsibilities & impact

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 and provide technical guidance
Contribute to roadmaps and architectural decisions
Partner with product, analytics, and engineering teams to deliver end-to-end solutions from ingestion and transformation through APIs and user interfaces

Requirements

What you’ll need

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 data-engineering programming language such as Python, Scala, or Java
Experience with cloud data platforms such as Azure, AWS, or GCP
Experience designing production-grade ETL/ELT pipelines
Experience 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
Understanding of asynchronous data states, errors, and loading behavior
Understanding of data modeling, schema evolution, data quality, and distributed processing concepts
Experience with modern deployment or orchestration tools
Strong communication and problem-solving skills
Preferred: experience with Apache Spark, Kafka, Airflow, dbt, or comparable technologies
Preferred: experience with Snowflake, BigQuery, Databricks, Redshift, or comparable services
Preferred: familiarity with Docker, Kubernetes, infrastructure as code, and cloud-native architectures
Preferred: experience with front-end testing tools, accessibility practices, and design systems
Preferred: experience implementing authentication, authorization, and secure handling of sensitive data
Preferred: track record of mentoring teammates and leading delivery across multiple systems or teams
Must not require GM immigration sponsorship now or in the future

Benefits

Comp & perks

Relocation benefits may be available
Incentive pay program with payouts based on company performance, job level, and individual performance
Medical insurance
Dental insurance
Vision insurance
Health Savings Account
Flexible Spending Accounts
Retirement savings plan
Sickness and accident benefits
Life insurance
Paid vacation and holidays
Tuition assistance programs
Employee assistance program
GM vehicle discounts