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Databricks Engineer Jobs in Austin, TX (NOW HIRING)

General Motors

Data Engineering Manager

Austin, TX · On-site

$113K - $136K/yr

If you're passionate about distributed systems, Databricks, AI, cloud platforms, and building engineering organizations that move fast and innovate continuously, we'd love to meet you. You are a ...

General Motors

Data Engineering Manager

Austin, TX · On-site

$113K - $136K/yr

If you're passionate about distributed systems, Databricks, AI, cloud platforms, and building engineering organizations that move fast and innovate continuously, we'd love to meet you. You are a ...

General Motors

Data Engineering Manager

Austin, TX · On-site

$113K - $136K/yr

If you're passionate about distributed systems, Databricks, AI, cloud platforms, and building engineering organizations that move fast and innovate continuously, we'd love to meet you. You are a ...

Armaninollp

Data & AI Platform Engineer

Austin, TX · On-site

$113K - $136K/yr

This is an early-career engineering role focused on building, operating, and improving cloud data ... Snowflake (preferred) or Microsoft Fabric or Databricks * A BI platform: Power BI or Tableau * CI ...

University of Texas at Austin

Lead Data Engineer

Austin, TX · On-site

$101K - $133K/yr

Design, architect, and deliver production-grade, scalable data pipelines and AI-ready data platforms using Databricks,AWScloud-native services and modern data engineering frameworks. * Lead end-to ...

Deloitte

Senior Data Engineer

Austin, TX · Hybrid

$105K - $142K/yr

Design Databricks cluster policies, autoscaling configurations, and cost optimization strategies ... Mentor junior and mid-level engineers through code reviews and pair programming * Evaluate new ...

SpyCloud

Senior Data Engineer

Austin, TX · On-site

$144K - $187K/yr

As a Senior Data Engineer at SpyCloud, you will lead the architectural transformation of our data ... Use databricks/spark to prepare, transform and serve data to customers * Build and optimize real ...

1 point system

Spark/Pyspark Data Engineer

Austin, TX · On-site

$113K - $136K/yr

Technical Stack Very strong SQL Spark / PySpark Databricks Enterprise‑scale data engineering experience Interview Process 4 rounds minimum At least 1-2 panel interviews (1 hour each) Additional ...

Datalinx AI

Full-Stack Engineer

Austin, TX · On-site

... Databricks, Snowflake) for intelligent query and data retrieval. • Develop tools that automate ... and other engineering disciplines to enable business success for customers. • Document best ...

Datalinx AI

Senior Full-Stack Engineer

Austin, TX · On-site

... Databricks, Snowflake) for intelligent query and data retrieval. • Develop tools that automate ... and other engineering disciplines to enable business success for customers. • Document best ...

Apple

Data & Analytics Engineer, AiDP

Austin, TX

$113K - $136K/yr

... BigQuery, Databricks) Use tools like DBT to create modular, testable, and well-documented ... data engineering in an AI-first platform Preferred Qualifications Experience building AI/LLM ...

Optimizely

Senior Staff Software Engineer

Austin, TX · On-site

$180 - $240/hr

Familiarity with warehouse-native architectures (Snowflake, BigQuery, Redshift, Databricks) and ... Prior experience as a staff or principal engineer, driving large cross-functional initiatives to ...

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All JobsDatabricks Engineer JobsDatabricks Engineer Jobs in Austin, TX

Databricks Engineer information

See Austin, TX salary details

$59K

$110.7K

$201.2K

How much do databricks engineer jobs pay per year?

As of Aug 16, 2026, the average yearly pay for databricks engineer in Austin, TX is $110,650.00, according to ZipRecruiter salary data. Most workers in this role earn between $79,800.00 and $131,300.00 per year, depending on experience, location, and employer.

What are some common challenges faced by Databricks engineers when working with large-scale data pipelines?

Databricks Engineers often encounter challenges related to optimizing the performance and reliability of large-scale data pipelines. These can include efficiently managing cluster resources, handling data partitioning to prevent bottlenecks, and troubleshooting job failures due to resource constraints or data quality issues. Collaboration with data scientists, analysts, and DevOps teams is essential to ensure seamless integration and deployment of production workflows. Staying current with evolving Databricks features and best practices also plays a key role in overcoming these challenges.

How much does a Databricks engineer make?

A Databricks engineer's salary typically ranges from $100,000 to $150,000 annually, depending on experience, location, and skill level. Senior roles or those with specialized skills in Spark, cloud platforms, or data architecture can earn higher compensation, often exceeding $160,000 per year.

What is a Databricks engineer?

A Databricks Engineer is a data engineering professional who specializes in using the Databricks platform to build, manage, and optimize data pipelines and analytics solutions. They work with big data technologies like Apache Spark, Delta Lake, and cloud services to process and analyze large datasets efficiently. Their role often involves developing ETL (extract, transform, load) workflows, setting up data lakes, and ensuring data quality and performance for business intelligence and machine learning applications.

What are the key skills and qualifications needed to thrive as a Databricks engineer?

To thrive as a Databricks Engineer, you need strong expertise in big data processing, cloud platforms (like AWS or Azure), and proficiency with languages such as Python, SQL, and Scala, often supported by a degree in computer science or a related field. Familiarity with Apache Spark, Databricks Workspace, version control systems like Git, and relevant Databricks certifications are typically required. Strong analytical thinking, collaboration, and effective communication skills help you understand business needs and work seamlessly with data teams. These skills ensure efficient data pipeline development, scalable analytics solutions, and successful integration of Databricks into organizational workflows.

Is a Databricks engineer in demand?

Databricks engineers are in high demand due to the growing adoption of cloud-based data analytics and machine learning platforms. They typically require skills in Spark, SQL, and cloud environments, and their roles are often available across various industries seeking data-driven solutions.

What are popular job titles related to Databricks Engineer jobs in Austin, TX?

For Databricks Engineer jobs in Austin, TX, the most frequently searched job titles are:

What job categories do people searching Databricks Engineer jobs in Austin, TX look for?

The top searched job categories for Databricks Engineer jobs in Austin, TX are:

What cities near Austin, TX are hiring for Databricks Engineer jobs?

Cities near Austin, TX with the most Databricks Engineer job openings:

Databricks Engineer jobs near you
Infographic showing various Databricks Engineer job openings in Austin, TX as of August 2026, with employment types broken down into 90% Full Time, 4% Part Time, and 6% Contract. Highlights an 87% Physical, 5% Hybrid, and 8% Remote job distribution, with an average salary of $110,650 per year, or $53.2 per hour.

Data Engineering Manager

General Motors

Austin, TX • On-site

$113K - $136K/yr

Other

Posted 4 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 6,282 frontline employees who took The Breakroom Quiz

Job description

Job Description
About the Role
The Data Engineering Manager will lead a team of data engineers focused on building and operating Customer data platforms supporting OnStar, Connected Services, Customer, Marketing, Personalization, AI, and Advanced Analytics.
This is a highly technical leadership role responsible for building scalable, cloud-native data products across a multi-cloud Lakehouse architecture with a strong focus on Databricks, Distributed Data Processing, near Real-Time Streaming, AI/ML, and Generative AI. If you're passionate about distributed systems, Databricks, AI, cloud platforms, and building engineering organizations that move fast and innovate continuously, we'd love to meet you.
You are a technology leader who combines deep technical expertise with strong people leadership. You thrive in solving complex engineering challenges, embrace innovation, and are passionate about building scalable, AI-ready data platforms that power millions of connected customer experiences. Your ability to influence strategy, mentor engineers, and deliver modern data solutions will shape the future of GM's customer data ecosystem.
What You'll Do
  • Lead, mentor, and grow a high-performing team of Data Engineers, including performance management, career development, hiring and onboarding.
  • Define and execute the technical roadmap for Customer, Marketing, and OnStar/Digital data products, using cloud-agnostic, portable architecture that enable interoperability across Azure, Google Cloud Platform, AWS, and other platforms while supporting GM's long-term multi-cloud strategy.
  • Architect, Design and build scalable batch, streaming, API, and event-driven data pipelines using Databricks, Apache Spark, Delta Lake, and Unity Catalog.
  • Own end-to-end delivery of data engineering initiatives from product requirements to operational support post deploy.
  • Drive modernization from legacy platforms to cloud-native, multi-cloud Lakehouse architectures.
  • Enable AI and Machine Learning by building trusted, reusable, and governed data products supporting predictive analytics, GenAI, and LLM applications.
  • Collaborate with architecture and platform teams to align reference architectures, standards, and reusable components.
  • Champion engineering excellence through CI/CD, Infrastructure as Code, Data Observability, automated testing, metadata management, and data quality.
  • Optimize platform performance, scalability, reliability, and cloud cost efficiency.
  • Collaborate with Business, Product, Marketing, Analytics, Security, and Architecture teams to deliver business outcomes and technical innovation.
  • Foster a culture of innovation, continuous learning, experimentation, and engineering excellence.

Your Skills & Abilities (Required Qualifications)
  • Bachelor's degree in computer science, Engineering, Information Systems, or related field.
  • 7+ years of experience in Data Engineering, Software Engineering, or production grade Distributed Data Platforms.
  • 3+ years of proven experience leading and managing data engineering or software engineering teams.
  • Deep expertise with Databricks, Apache Spark, Delta Lake, Unity Catalog, Python, SQL, and modern Lakehouse architectures.
  • Experience designing cloud-native solutions across Azure, AWS, or Google Cloud Platform.
  • Strong understanding of data modeling, data governance, observability, security, and engineering best practices.
  • Experience with or exposure to AI-first engineering concepts, including Generative AI, Agentic AI, Retrieval-Augmented Generation (RAG), vector search, and LLM-powered applications.
  • Strong experience building large-scale distributed batch and streaming data pipelines.
  • Excellent leadership, communication, and stakeholder management skills, with the ability to translate business needs into technical solutions.

What Will Give You A Competitive Edge (Preferred Qualifications)
  • Experience with Databricks AI capabilities (MLflow, Mosaic AI, Delta Live Tables, Feature Store, Vector Search, Genie Spaces).
  • Experience building Customer 360, Marketing, Personalization, CDP, or Connected Services platforms.
  • Experience implementing DataOps/MLOps practices, including CI/CD pipelines and automated testing for data pipelines
  • Experience with streaming technologies such as Kafka or Azure Event Hubs.
  • Experience integrating with and working with data from Shopify, Heap, Adobe SDK and AppsFlyer
  • Knowledge of Data Mesh, Data Products, and modern cloud-native architecture patterns.
  • Knowledge of data privacy, security, and regulatory considerations for enterprise data
  • Experience operating critical data platforms with strong SLA's and support processes.
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., H1-B, OPT, STEM OPT, CPT, TN, J-1, etc).This role is categorized as hybrid. This means the selected candidate is expected to report to a specific location at least 3 times a week {or other frequency dictated by their manager}.This job may be eligible for relocation benefits.
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-. 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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