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

WorkNovas LLC

Sr. DevOps Engineer

Austin, TX · On-site

$50 - $55/hr

Databricks and/or Snowflake infrastructure experience. * Cost optimization for AI and LLM workloads. * Internal developer platform experience. Best Regards, Tripuresh Singh Team Lead/Senior Technical ...

Socket.dev

Senior Data Engineer, AI & Agents

Austin, TX · On-site

$105K - $142K/yr

As a Senior Data Engineer, AI & Agents, you will prepare enterprise domain data for consumption by ... You will operate across Databricks and Snowflake, converting source tables to open formats and ...

New

General Motors

Senior Data Engineer

Austin, TX · On-site

$133K - $188K/yr

Build and support Databricks jobs and workflows for orchestration, scheduled execution, retraining, scoring, and downstream operational consumption.* Improve reliability, observability, and ...

YETI Canada Limited

Sr. Data Engineer

Austin, TX · On-site

$113K - $136K/yr

The Senior Data Engineer will be part of a team that designs, builds, and operates YETI's enterprise data platform with a strong emphasis on Azure Databricks and Google BigQuery. This role is ...

DoiT

Senior Technical Content Writer

Austin, TX · Remote

Location Our Senior Technical Content Writer - Data Platforms will join our global Marketing team ... Demonstrated ability to write for Databricks and Snowflake practitioners: data engineers, analytics ...

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$24.8K

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How much do senior databricks developer jobs pay per year?

As of Sep 10, 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.

Sr. Forward Deployed Engineer (FDE) - Communications, Media, Entertainment & Games

Austin, TX • On-site

Databricks
Software Development • 5 - 10K employees
Learn more about Databricksexternal

$103K - $142K/yr

Full-time

Re-posted yesterday

Job description

CSQ127R318

As a Big Data Solutions Architect (Resident Solutions Architect) in our Professional Services team you will work with clients on short to medium term customer engagements on their big data challenges using the Databricks platform. You will provide data engineering, data science, and cloud technology projects which require integrating with client systems, training, and other technical tasks to help customers to get most value out of their data. RSAs are billable and know how to complete projects according to specification with excellent customer service. You will report to the regional Manager/Lead.

The impact you will have:

  • You will work on a variety of impactful customer technical projects which may include designing and building reference architectures, creating how-to's and productionalizing customer use cases
  • Work with engagement managers to scope variety of  professional services work with input from the customer
  • Guide strategic customers as they implement transformational big data projects, 3rd party migrations, including end-to-end design, build and deployment of industry-leading big data and AI applications
  • Consult on architecture and design; bootstrap or implement customer projects which leads to a customers' successful understanding, evaluation and adoption of Databricks.
  • Provide an escalated level of support for customer operational issues.
  • You will work with the Databricks technical team, Project Manager, Architect and Customer team to ensure the technical components of the engagement are delivered to meet customer's needs.
  • Work with Engineering and Databricks Customer Support to provide product and implementation feedback and to guide rapid resolution for engagement specific product and support issues.

What we look for:

  • 6+ years experience in data engineering, data platforms & analytics
  • Comfortable writing code in either Python or Scala
  • Working knowledge of two or more common Cloud ecosystems (AWS, Azure, GCP) with expertise in at least one
  • Deep experience with distributed computing with Apache Spark and knowledge of Spark runtime internals
  • Familiarity with CI/CD for production deployments
  • Working knowledge of MLOps 
  • Design and deployment of performant end-to-end data architectures
  • Experience with technical project delivery - managing scope and timelines.
  • Documentation and white-boarding skills.
  • Experience working with clients and managing conflicts.
  • Build skills in technical areas which support the deployment and integration of Databricks-based solutions to complete customer projects.
  • Travel to customers 20% of the time
  • Databricks Certification

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