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Databricks Engineer Jobs in Texas (NOW HIRING)

We are seeking an experienced Databricks Engineer with strong expertise in migration of PySpark/Hive workloads from AWS EMR or legacy platforms data platforms while ensuring data quality, security ...

Databricks certification (e.g., Databricks Certified Data Engineer Associate/Professional). Experience with CI/CD practices for data pipelines (DevOps, Git-based workflows)

Senior Databricks Engineer

Austin, TX · On-site

$103K - $142K/yr

Title: Senior Databricks Engineer Duration: 12 Months (3 Years Ext) Location: Austin, TX 78751. The working position is Hybrid - On Site and Telework Position will be 3 days remote with 2 days ...

Azure Databricks Engineer

Dallas, TX

$59.25 - $77.25/hr

Lead the design of cloud-based architectures using Azure Databricks for data processing, transformation, and reporting. * Data Engineering & Integration : * Design and implement ETL/ELT processes to ...

Sr Databricks Engineer

Dallas, TX · On-site

$103K - $142K/yr

Preferred Qualifications Databricks Certified Data Engineer Professional / Architect certification. AWS/Azure/GCP cloud architect certifications. Experience with BI tools (Tableau, Power BI, Looker)

Sr Databricks Engineer

Dallas, TX

$103K - $142K/yr

Preferred Qualifications Databricks Certified Data Engineer Professional / Architect certification. AWS/Azure/GCP cloud architect certifications. Experience with BI tools (Tableau, Power BI, Looker)

New

Sr Databricks Engineer

Dallas, TX · On-site

$103K - $142K/yr

Preferred Qualifications Databricks Certified Data Engineer Professional / Architect certification. AWS/Azure/GCP cloud architect certifications. Experience with BI tools (Tableau, Power BI, Looker)

Lead Databricks Engineer

Coppell, TX · On-site

$95K - $125K/yr

We are seeking a strong Data Engineering Lead with support engagement experience to manage and enhance a Data Platform built on Azure and Databricks . This role requires a hands-on leader who can ...

Azure Databricks Engineer (Dallas, TX)

Dallas, TX · On-site

$54.50 - $67.50/hr

Lead the design of cloud-based architectures using Azure Databricks for data processing, transformation, and reporting Data Engineering & Integration: Design and implement ETL/ELT processes to ingest ...

Azure Databricks Engineer (Dallas, TX)

Dallas, TX · On-site

$54.50 - $67.50/hr

Lead the design of cloud-based architectures using Azure Databricks for data processing, transformation, and reporting. * Data Engineering & Integration : * Design and implement ETL/ELT processes to ...

Sr.Data Engineer

Dallas, TX · On-site

$113K - $136K/yr

Senior Data Engineer / Databricks Engineer Location: Dallas, TX Duration: Long Term Client: SWA Experience: 7+ Years Role Overview We are looking for a strong Senior Data Quality Engineer ...

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 ...

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Showing results 1-20

Databricks Engineer information

See Texas salary details

$55.4K

$104K

$189.1K

How much do databricks engineer jobs pay per year?

As of Aug 25, 2026, the average yearly pay for databricks engineer in Texas is $104,002.00, according to ZipRecruiter salary data. Most workers in this role earn between $75,000.00 and $123,400.00 per year, depending on experience, location, and employer.

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.

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 $90,000 to $150,000 annually, depending on experience, location, and skill level. Senior roles or those with specialized skills in Spark, cloud platforms, and data engineering can earn higher compensation, often including bonuses and benefits.

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 like AWS or Azure, making them valuable in data-driven organizations across various industries.

What job categories do people searching Databricks Engineer jobs in Texas look for?

The top searched job categories for Databricks Engineer jobs in Texas are:

What cities in Texas are hiring for Databricks Engineer jobs?

Cities in Texas with the most Databricks Engineer job openings:

Infographic showing various Databricks Engineer job openings in Texas as of August 2026, with employment types broken down into 90% Full Time, 4% Part Time, 5% Contract, and 1% Nights. Highlights an 85% Physical, 5% Hybrid, and 10% Remote job distribution, with an average salary of $104,002 per year, or $50 per hour.

Senior Databricks Engineer

Austin, TX • On-site

Resource Informatics Group
Software Development • 1 - 10 employees

$103K - $142K/yr

Other

Posted 24 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).