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

Prophecy Technologies

DATABRICKS SOLUTION ARCHITECT

Austin, TX · On-site

$62.50 - $82.25/hr

Senior Databricks Engineer * AWS * SQL Key Responsibilities Solution Architecture & Design * Design end-to-end data architectures using the Databricks Lakehouse Platform. * Architect scalable ETL/ELT ...

Deloitte

Sr Databricks Data Engineer

Austin, TX · On-site

$113K - $136K/yr

Oversee the implementation of CI/CD practices with tools such as Azure DevOps, AWS Code Pipeline ... As a Databricks Engineer in our AI & Data practice, you will design, build, and optimize cloud ...

IT America Inc

Databricks Data Engineer

Austin, TX · On-site

$113K - $136K/yr

Looking for a Senior Databricks Data Engineer with SQL Server + SSIS + DW modernization experience, and ideally GenAI/LLM/Agent experience Responsibilities & Skills: * 12yrs of Data Engineer and IT ...

Databricks

Sr. Forward Deployed Engineer

Austin, TX · On-site

$182K - $250K/yr

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.

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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.

Senior Databricks Engineer

Austin, TX • On-site

Resource Informatics Group
Software Development • 1 - 10 employees
Learn more about Resource Informatics Groupexternal

$103K - $142K/yr

Other

Re-posted 10 days ago

Job description

Role: Senior Databricks Engineer

Location: Austin, TX

Duration: Long term (Multiyear)

Client: State of Texas

Interview: Two rounds

Start date: Sept 1st, 2026

The Databricks Engineer should design, develop, and optimize scalable data solutions on Databricks, leveraging PySpark or Scala for large-scale data processing. Build and maintain ingestion pipelines, Declarative Pipelines (DLT), and Medallion Architecture (Bronze, Silver, Gold) to support enterprise analytics and reporting. Develop robust data models and implement data quality, validation, and governance frameworks. Create dynamic dashboards, Databricks Apps, and analytical solutions to deliver actionable business insights. Optimize workloads, monitoring, and operational processes to ensure scalability, security, and cost efficiency.

Required Skills:

Experience required: 10 years

  • Experience in IT, supporting the design, development, deployment, or delivery of technology solutions.
  • Experience with Databricks, including building and optimizing ETL/ELT data pipelines using Apache Spark.
  • Experience in data warehousing and dimensional data modeling (star/snowflake schemas).
  • Proficiency in SQL and Python (or Scala) for large-scale data processing.
  • Experience designing and developing dashboards and applications natively within Databricks (e.g., Databricks SQL dashboards, Databricks Apps).
  • Experience implementing data governance, data quality, and data security practices.
  • Experience implementing Lakeflow Declarative Pipelines (formerly Delta Live Tables/DLT) for building and managing production data pipelines.
  • Experience with Delta Lake, medallion architecture (bronze/silver/gold layers), data lakehouse design, and creating and scheduling offline jobs using Lakeflow Jobs (formerly Databricks Workflows) or similar orchestration tools (e.g., Airflow).
  • Excellent communication skills, both verbal and written, including presenting insights to technical and business stakeholders.
  • Experience working in public sector or state government environments.
  • Databricks certification (e.g., Databricks Certified Data Engineer Associate/Professional).
  • Experience with CI/CD practices for data pipelines (DevOps, Git-based workflows).

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