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Senior Data Engineer

Austin, Texas, United States of America

Pay
$125,000–168,650/year · BaseAnnual period assumed — pay source
Compensation: The expected base compensation for this role is: $125,000 - $168,650. Actual base compensation within the identified range will vary based on factors relevant to the position. Bonus Potential: An incentive pay program offers payouts based on company performance, job level, and individual performance.
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Work setup
Unconfirmed
Employment
Full-time — employment source
Employment type in the employer’s listing: Full time
From the employer’s posting

Before you apply

Sponsorship
Visa sponsorship not confirmed — sponsorship source
GM DOES NOT PROVIDE IMMIGRATION-RELATED SPONSORSHIP FOR THIS ROLE. DO NOT APPLY FOR THIS ROLE IF YOU WILL NEED GM IMMIGRATION SPONSORSHIP NOW OR IN THE FUTURE. THIS INCLUDES DIRECT COMPANY SPONSORSHIP, ENTRY OF GM AS THE IMMIGRATION EMPLOYER OF RECORD ON A GOVERNMENT FORM, AND ANY WORK AUTHORIZATION REQUIRING A WRITTEN SUBMISSION OR OTHER IMMIGRATION SUPPORT FROM THE COMPANY (e.g., H-1B, OPT, STEM OPT, CPT, TN, J-1, etc.)
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What you’ll work on

Full posting
  • Develop cloud data warehouse solutions on Databricks and Kubernetes

  • Build pipelines that ingest and process IoT data from diverse sources

  • Build an Operational Data Store as a speed layer for near real-time use cases

  • Manage large-scale datasets in Apache Iceberg data lake operations

  • Set up monitoring dashboards to track pipeline health and performance

From the employer’s posting
Develop cloud data warehouse solutions leveraging Databricks and Kubernetes.
Implement robust data pipelines to ingest, process, and store IoT data from diverse sources.
Build an Operational Data Store (ODS) to function as a speed layer, enabling rapid access for near real-time use Cases.
Integrate and manage large-scale datasets using Apache Iceberg for efficient, reliable, and scalable data lake operations.
Setting up monitoring tools and dashboards to track pipeline health, diagnose issues, and optimize performance.
Education & alternatives
Your Skills & Abilities (Required Qualifications) - Bachelor’s in software engineering, Computer Science, Information Technology, or a related field or equivalent experience. - 7+ years experience designing, developing, and supporting enterprise applications.

Tools in this posting

  • Java
  • Python
  • SQL
  • AWS
  • Azure
  • Databricks
  • Google Cloud (GCP)
  • Iceberg
  • Kafka
  • Kubernetes
  • Snowflake
  • Spark
Source — Tool mentions in context
- Experience with IoT data ingestion, processing, and analytics. - Strong proficiency in SQL, Python, Java and ETL tools. - Proven cloud experience and strong familiarity with at least one cloud platform (Microsoft Azure - preferred, AWS, GCP).
- Strong proficiency in SQL, Python, Java and ETL tools. - Proven cloud experience and strong familiarity with at least one cloud platform (Microsoft Azure - preferred, AWS, GCP). - Experienced in proactive issue detection leveraging anomaly detection techniques, with a strong focus on monitoring pipeline performance, ensuring system reliability, and identifying bottlenecks through observability metrics.
The Role The GM Energy Data Engineering team is on the lookout for a talented Data Engineer who is a highly skilled and hands-on Cloud Data Warehouse engineer with experience in IoT data integration, Snowflake, Databricks, and Apache Flink. The selected candidate will play a pivotal role in designing, implementing, and optimizing scalable cloud-based data warehouse solutions, including an Operational Data Store (ODS) to serve as a speed layer for advanced analytics and business intelligence initiatives. What You’ll Do
What You’ll Do - Develop cloud data warehouse solutions leveraging Databricks and Kubernetes. - Implement robust data pipelines to ingest, process, and store IoT data from diverse sources.
- 7+ years experience designing, developing, and supporting enterprise applications. - Proven in implementing cloud data warehouses using Databricks, Snowflake or any other data platform. - Hands-on experience with Apache Flink or Spark for data lake pipelines.
What Can Give You a Competitive Advantage (Preferred Qualifications) - Experience with Databricks platform and Databricks certifications. - Experience with real-time data streaming technologies (e.g., Kafka, Spark Streaming, Flink).
- Implement robust data pipelines to ingest, process, and store IoT data from diverse sources. - Integrate and manage large-scale datasets using Apache Iceberg for efficient, reliable, and scalable data lake operations. - Build an Operational Data Store (ODS) to function as a speed layer, enabling rapid access for near real-time use Cases.
- Experience with Databricks platform and Databricks certifications. - Experience with real-time data streaming technologies (e.g., Kafka, Spark Streaming, Flink). - Knowledge of data governance and security best practices.

Posting record

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Status in our records
Live
First seen by us
Oct 9, 2026 · 9d ago
Recorded sightings
27
Last seen by us
Oct 17, 2026
Reposted
2 times since Sep 4, 2026

These dates show when we found the listing. Check the employer’s website to confirm it is still accepting applications. We count a repost when the same title and location comes back as a new listing within 60 days of the last one coming down. Some hiring systems expire listings on a schedule, so repost rates vary by system.

Job description

View original posting ↗

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, at minimum [or other frequency dictated by the business if more than 3 days].


The Role


The GM Energy Data Engineering team is on the lookout for a talented Data Engineer who is a highly skilled and hands-on Cloud Data Warehouse engineer with experience in IoT data integration, Snowflake, Databricks, and Apache Flink. The selected candidate will play a pivotal role in designing, implementing, and optimizing scalable cloud-based data warehouse solutions, including an Operational Data Store (ODS) to serve as a speed layer for advanced analytics and business intelligence initiatives.

 

What You’ll Do


  • Develop cloud data warehouse solutions leveraging Databricks and Kubernetes.
  • Implement robust data pipelines to ingest, process, and store IoT data from diverse sources.
  • Integrate and manage large-scale datasets using Apache Iceberg for efficient, reliable, and scalable data lake operations.
  • Build an Operational Data Store (ODS) to function as a speed layer, enabling rapid access for near real-time use Cases.
  • Collaborate with data engineers, analysts, and business stakeholders to understand requirements and deliver scalable solutions.
  • Optimize data models, storage, and compute resources for performance and cost efficiency.
  • Ensure data quality, security, and compliance across all cloud data platforms.
  • Setting up monitoring tools and dashboards to track pipeline health, diagnose issues, and optimize performance.
  • Stay current with industry trends and best practices in data management, ODS technologies, and API development.

 

Your Skills & Abilities (Required Qualifications)


  • Bachelor’s in software engineering, Computer Science, Information Technology, or a related field or equivalent experience.
  • 7+ years experience designing, developing, and supporting enterprise applications.
  • Proven in implementing cloud data warehouses using Databricks, Snowflake or any other data platform.
  • Hands-on experience with Apache Flink or Spark for data lake pipelines.
  • Experience designing and building Operational Data Stores (ODS) as speed layers for analytic environments.
  • Experience with IoT data ingestion, processing, and analytics.
  • Strong proficiency in SQL, Python, Java and ETL tools.
  • Proven cloud experience and strong familiarity with at least one cloud platform (Microsoft Azure - preferred, AWS, GCP).
  • Experienced in proactive issue detection leveraging anomaly detection techniques, with a strong focus on monitoring pipeline performance, ensuring system reliability, and identifying bottlenecks through observability metrics.
  • Good understanding and experience with CI/CD practices.

 

What Can Give You a Competitive Advantage (Preferred Qualifications)

 

  • Experience with Databricks platform and Databricks certifications.
  • Experience with real-time data streaming technologies (e.g., Kafka, Spark Streaming, Flink).
  • Knowledge of data governance and security best practices.
  • OCPP Protocol expertise

 

This job may be eligible for relocation benefits.


Compensation: 

  • The expected base compensation for this role is: $125,000 - $168,650. Actual base compensation within the identified range will vary based on factors relevant to the position. 
  • Bonus Potential: An incentive pay program offers payouts based on company performance, job level, and individual performance. 
  • Benefits: GM offers a variety of health and wellbeing benefit programs. Benefit options include 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 and more. 

GM DOES NOT PROVIDE IMMIGRATION-RELATED SPONSORSHIP FOR THIS ROLE. DO NOT APPLY FOR THIS ROLE IF YOU WILL NEED GM IMMIGRATION SPONSORSHIP NOW OR IN THE FUTURE. THIS INCLUDES DIRECT COMPANY SPONSORSHIP, ENTRY OF GM AS THE IMMIGRATION EMPLOYER OF RECORD ON A GOVERNMENT FORM, AND ANY WORK AUTHORIZATION REQUIRING A WRITTEN SUBMISSION OR OTHER IMMIGRATION SUPPORT FROM THE COMPANY (e.g., H-1B, OPT, STEM OPT, CPT, TN, J-1, etc.)


#LI-CC1







About GM

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Why Join Us 

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Benefits Overview

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Non-Discrimination and Equal Employment Opportunities (U.S.)

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.

Accommodations

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.

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  • Check the listed location, eligibility and core experience before starting.

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Pay
Compensation: The expected base compensation for this role is: $125,000 - $168,650. Actual base compensation within the identified range will vary based on factors relevant to the position. Bonus Potential: An incentive pay program offers payouts based on company performance, job level, and individual performance.
Location & working pattern

Austin, Texas, United States of America

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, at minimum [or other frequency dictated by the business if more than 3 days]. The Role
Work authorization
- Benefits: GM offers a variety of health and wellbeing benefit programs. Benefit options include 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 and more. GM DOES NOT PROVIDE IMMIGRATION-RELATED SPONSORSHIP FOR THIS ROLE. DO NOT APPLY FOR THIS ROLE IF YOU WILL NEED GM IMMIGRATION SPONSORSHIP NOW OR IN THE FUTURE. THIS INCLUDES DIRECT COMPANY SPONSORSHIP, ENTRY OF GM AS THE IMMIGRATION EMPLOYER OF RECORD ON A GOVERNMENT FORM, AND ANY WORK AUTHORIZATION REQUIRING A WRITTEN SUBMISSION OR OTHER IMMIGRATION SUPPORT FROM THE COMPANY (e.g., H-1B, OPT, STEM OPT, CPT, TN, J-1, etc.) #LI-CC1
More source context
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.

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