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Senior Databricks Developer Jobs in Austin, TX (NOW HIRING)

General Motors

Senior Data Engineer

Austin, TX · On-site

$133K - $188K/yr

Build and support Databricks jobs and workflows for orchestration, scheduled execution, retraining ... Partner with data scientists, data engineers, platform teams, architecture, manufacturing, and ...

General Motors

Senior Data Engineer

Austin, TX

$133K - $188K/yr

Build and support Databricks jobs and workflows for orchestration, scheduled execution, retraining ... Partner with data scientists, data engineers, platform teams, architecture, manufacturing, and ...

CAPPS

GLO - Programmer V (Senior Data Engineer)

Austin, TX · On-site

$10K - $11K/mo

... Databricks, and similar technologies. This role contributes to technical solution design, implements data pipelines and platform enhancements, and collaborates with architects and senior engineers to ...

New

Jobtailor

Senior Software Engineer

Austin, TX · On-site

$100 - $140/hr

As a Senior Software Engineer, you will be responsible for executing the plan for design ... Enable teams to design and develop in Azure Databricks cloud platform to support Intelligent ...

1 point system

Senior Data Engineer

Austin, TX · On-site

$105K - $142K/yr

We're looking for a Senior Data Engineer to design and deliver modern ELT pipelines, scalable ... Proficiency with data warehouses/lakes and big data technologies (e.g., Spark/Databricks, Snowflake ...

Worky

Senior Full-Stack & AI Engineer

Austin, TX · On-site

$140 - $190/hr

Cloud & DevOps: Familiarity with AWS or Azure cloud infrastructure, containerization (Kubernetes ... Databricks). * Deep understanding of AI observability, evaluation frameworks, security, and data ...

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$24.8K

$79.6K

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How much do senior databricks developer jobs pay per year?

As of Aug 19, 2026, the average yearly pay for senior databricks developer in Austin, TX is $79,581.00, according to ZipRecruiter salary data. Most workers in this role earn between $41,100.00 and $102,100.00 per year, depending on experience, location, and employer.

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Senior Databricks Developer jobs near you
Infographic showing various Senior Databricks Developer job openings in Austin, TX as of August 2026, with employment types broken down into 82% Full Time, 4% Part Time, and 14% Contract. Highlights an 83% Physical, 5% Hybrid, and 12% Remote job distribution, with an average salary of $79,581 per year, or $38.3 per hour.

Senior Data Engineer

General Motors

Austin, TX • On-site

$133K - $188K/yr

Full-time

Medical, Dental, Vision, Life, Retirement, PTO

Re-posted 17 days ago

General Motors rating

8.2

Company rating: 8.2 out of 10

General Motors

Based on 306 frontline employees who took The Breakroom Quiz

7.4

Company rating compared to similar companies: 7.4 out of 10

Automakers average

Based on 6,288 frontline employees who took The Breakroom Quiz

Job description

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].
What You'll Do
  • Design and develop batch and streaming ETL/ELT pipelines in Azure Databricks to support ingestion, transformation, curation, and delivery of manufacturing and enterprise data.
  • Build reusable Bronze, Silver, and Gold data pipelines, data quality frameworks, and governed data products in Unity Catalog.
  • Build and operationalize ML workflows for data preparation, feature engineering, model training, evaluation, deployment, batch scoring, retraining, and inference.
  • Establish and maintain MLflow-based model lifecycle controls, including experiment tracking, model registration, versioning, lineage, traceability, and controlled promotion across environments.
  • Implement CI/CD pipelines for data products, ML code, workflows, and deployment bundles using Git-based development practices, automated testing, and release automation.
  • Build and support Databricks jobs and workflows for orchestration, scheduled execution, retraining, scoring, and downstream operational consumption.
  • Improve reliability, observability, and production readiness through testing, monitoring, validation, alerting, documentation, and automation that reduce deployment risk and manual intervention.
  • Partner with data scientists, data engineers, platform teams, architecture, manufacturing, and business stakeholders to productionize scalable, supportable solutions aligned to production constraints.
  • Support modernization of legacy data and ML workflows into standardized cloud-native Databricks patterns and help bridge proof-of-concept work into repeatable production solutions.

Your Skills & Abilities (Required Qualifications)
  • 5+ years of relevant full-time experience; or equivalent knowledge
  • Bachelor's degree in Computer Science, Data Science, Engineering, or a related technical field, or equivalent practical experience.
  • Strong proficiency in Scala, Python, SQL, Spark, and Databricks, with production-quality software engineering practices.
  • Strong experience building and supporting cloud-based ETL/ELT pipelines, data platforms, and pipeline orchestration patterns for both batch and streaming operations.
  • Experience deploying machine learning models into production environments and supporting model development through operational release.
  • Strong experience with Databricks jobs, workflows, repos, Unity Catalog, and MLflow-based experimentation and model lifecycle management.
  • Experience building CI/CD pipelines with Git-based workflows, automated testing, and deployment of data or ML products.
  • Strong troubleshooting, communication, and cross-functional collaboration skills.

What Can Give You a Competitive Advantage (Preferred Qualifications)
  • Experience with DLT, structured streaming, Event Hub, Kafka, Scala, or Java in enterprise data pipeline environments.
  • Experience with model governance, lineage, reproducibility, monitoring, validation checks, and operational observability.
  • Experience designing resilient pipelines that can handle changing upstream data conditions, retraining needs, and production operations.
  • Experience with manufacturing, industrial IoT, plant-floor data, quality, or manufacturing analytics use cases.
  • Experience helping transition PoC or R&D solutions into scalable production-ready patterns.

This job may be eligible for relocation benefits.
Compensation:
  • The expected base compensation for this role is: $133,000 - $188,600. 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
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.
Why Join Us
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.
Benefits Overview
From day one, we're looking out for your well-being-at work and at home-so you can focus on realizing your ambitions. Learn how GM supports a rewarding career that rewards you personally by visiting Total Rewards resources.
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, emailus 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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About General Motors

Sourced by ZipRecruiter

General Motors is a company with global scale and capabilities, headquartered in Detroit, Michigan, with employees around the world. The company employs over 165,000 people, serves six continents, operates across 22 time zones, and has a diverse workforce speaking 75 languages1. GM’s vision is to drive the world forward by pioneering innovations that move and connect people to what matters. The company is working towards an all-electric future with its new Ultium Platform and is pushing transportation options beyond our wildest imaginations with autonomous vehicles. GM is also committed to becoming the most inclusive company in the world.

Industry

Transportation equipment manufacturing

Company size

10,000+ Employees

Headquarters location

Detroit, MI, US

Year founded

1908

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