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Databricks Engineer Jobs in Texas (NOW HIRING)

VIS IT Solutions Inc

DataBricks Engineer

Plano, TX · On-site

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 ...

LTIMindtree

Databricks Engineer

Irving, TX · On-site

Databricks Engineer Location: Irving, Tx We are seeking a highly skilled Databricks Engineer with AWS expertise to support Data Services portfolio The role will be responsible for designing ...

Elite IT Solutions inc

DataBricks Engineer

Plano, TX · On-site

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 ...

1 point system

Databricks Engineer

Austin, TX · On-site

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

Triwave Solutions Inc

Databricks Engineer

Austin, TX · On-site

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 ...

Hireblazer

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 ...

MeganSoft

Databricks Engineer- W2 position

Austin, TX · On-site

Databricks Engineer - 529701754 Duration: 11+ Months Location: Austin, TX - Hybrid Client: State of Texas Need USC** 8 or more years of experience, relies on experience and judgment to plan and ...

CEDENT

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 ...

Deloitte

Sr Databricks Data Engineer

Houston, TX · On-site

$109K - $131K/yr

As a Databricks Engineer in our AI & Data practice, you will design, build, and optimize cloud-based data engineering solutions that support large-scale transformation. You will work with business ...

Deloitte

Sr Databricks Data Engineer

Dallas, TX · On-site

$113K - $136K/yr

As a Databricks Engineer in our AI & Data practice, you will design, build, and optimize cloud-based data engineering solutions that support large-scale transformation. You will work with business ...

PROLIM Corporation

Sr. Data Engineer- Databricks

Austin, TX · On-site

$113K - $136K/yr

Prolim is hiring for a Data Engineer- Databricks for aleading client Location: Austin, TX Contract: Long term I. DESCRIPTION OF SERVICES 8 or more years of experience, relies on experience and ...

Deloitte

Sr Databricks Data Engineer

Austin, TX · On-site

$113K - $136K/yr

As a Databricks Engineer in our AI & Data practice, you will design, build, and optimize cloud-based data engineering solutions that support large-scale transformation. You will work with business ...

CEDENT

Azure Databricks Engineer (Dallas, TX)

Dallas, TX

$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 ...

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All JobsDatabricks Engineer JobsDatabricks Engineer Jobs in Texas

Databricks Engineer information

See Texas salary details

$55.4K

$104K

$189.1K

How much do databricks engineer jobs pay per year?

As of Aug 4, 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 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 Texas? For Databricks Engineer jobs in Texas, the most frequently searched job titles are:
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:
Databricks Engineer jobs near you
Infographic showing various Databricks Engineer job openings in Texas as of July 2026, with employment types broken down into 1% As Needed, 92% Full Time, 3% Part Time, and 4% Contract. Highlights an 80% Physical, 5% Hybrid, and 15% Remote job distribution, with an average salary of $104,002 per year, or $50 per hour.

Senior Databricks Engineer

Resource Informatics Group

Austin, TX • On-site

$103K - $142K/yr

Other

Posted 4 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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