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Databricks Jobs in Texas (NOW HIRING)

IT America Inc

Databricks Data Engineer

Austin, TX · On-site

$113K - $136K/yr

Databricks Data Engineer Location: Austin, TX (Preferred Locals to Austin, TX and Permanent residents of USA) Duration: Long-Term Contract Key Skills: Looking for a Senior Databricks Data Engineer ...

iTek People, Inc.

Databricks Technical Architect

Irving, TX · On-site

$63.50 - $76.75/hr

Databricks Technical Architect Work Location: Irving, TX - 75039 Vendor Rate: USD/hour Minimum years of experience: 10 years Databricks Technical Architect We are seeking a Databricks Architect to ...

Databricks

Sr. Forward Deployed Engineer

Austin, TX · On-site

$182K - $250K/yr

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 ...

CEDENT

Azure Databricks Engineer

Dallas, TX · On-site

$59.25 - $77.25/hr

Azure Databricks Architecture & Design : * Design, build, and optimize scalable, high-performance data pipelines and data lakes using Azure Databricks. * Architect and implement end-to-end analytics ...

ClifyX

Databricks Admin SME

Dallas, TX · On-site

ClifyX is seeking an experienced Databricks Admin Subject Matter Expert (SME) to manage, optimize, and secure enterprise-scale Databricks environments. The role involves administration, governance ...

Databricks

Lead Engagement Manager, FDE - CMEG

Dallas, TX · On-site

$178K - $245K/yr

Expertise in Databricks architecture, ecosystem, and strategic account planning. * Ability to travel up to 25-50% as required. Pay Range Transparency Databricks is committed to fair and equitable ...

HMG America

Azure Databricks Engineer / Lead

Dallas, TX · On-site

$101K - $134K/yr

Azure Databricks Engineer / Lead Location: Dallas, TX Local candidates Employment Type: Full-Time We are seeking an experienced Azure Databricks Engineer / Lead to join our team in Dallas, TX. The ...

Unison Group

Databricks Data Architect

Austin, TX · On-site

$63.25 - $81.25/hr

* We're seeking a hands-on experience in Databricks with deep technical expertise in building and optimizing Lakehouse-based data and AI solutions. * In this role, you'll design, develop, and ...

Unison Group

Databricks Data Architect

Austin, TX · On-site

$63.25 - $81.25/hr

* We're seeking a hands-on experience in Databricks with deep technical expertise in building and optimizing Lakehouse-based data and AI solutions. * In this role, you'll design, develop, and ...

Infosys Limited

Azure Databricks Admin

Plano, TX · On-site

$150 - $200/hr

Experience of managing Databricks cluster policies, instance pools, autoscaling, auto-termination, and compute governance * Support platform upgrades, runtime migrations, and feature enablement.

Brite Consulting

Databricks Data Engineer

San Antonio, TX · On-site

$104K - $125K/yr

We are seeking an experienced Databricks Data Engineer to support the continued development and advancement of the War Data Platform (WDP) within a complex federal financial management environment.

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Databricks information

See Texas salary details

$21.9K

$35.1K

$47.5K

How much do databricks jobs pay per year?

As of Sep 8, 2026, the average yearly pay for databricks in Texas is $35,136.00, according to ZipRecruiter salary data. Most workers in this role earn between $31,200.00 and $38,700.00 per year, depending on experience, location, and employer.

What is a Databricks?

A Databricks job is a way to run an automated workload, such as a data pipeline, machine learning model training, or ETL task, on the Databricks platform. Jobs can be scheduled, triggered manually, or run as part of a workflow. They support different task types, including notebooks, Python scripts, JARs, and SQL queries. Databricks jobs also allow for dependency management and orchestration across multiple tasks within a workflow.

What are the typical daily responsibilities of someone working in a Databricks role?

Professionals in Databricks roles typically spend their days developing and maintaining data pipelines, analyzing large datasets, and collaborating with business stakeholders to translate requirements into scalable solutions. They often use tools such as Apache Spark and cloud platforms to design and optimize workflows, while troubleshooting data quality or performance issues that arise. Regular teamwork with data engineers, analysts, and software developers is common, as is participating in sprint planning or code review sessions. Overall, the role combines hands-on technical work with ongoing collaboration to ensure data-driven insights and infrastructure reliability.

What are the key skills and qualifications needed to thrive in the Databricks position, and why are they important?

To thrive in a Databricks role, you need strong programming skills in languages such as Python or Scala, a deep understanding of data engineering or data science principles, and typically a relevant degree in computer science or a related field. Experience with Apache Spark, cloud platforms like Azure or AWS, and Databricks-specific certifications are often highly valued. Exceptional problem-solving, communication, and collaboration skills help professionals excel within multidisciplinary data teams. These capabilities are crucial for successfully designing, developing, and optimizing large-scale data solutions in a fast-evolving analytics environment.

Are Databricks in high demand?

Databricks-related roles, such as data engineers and data scientists, are in high demand due to the platform's widespread adoption for big data analytics and machine learning. Skills in Spark, cloud environments, and data pipeline development increase employability in this field.

Does Databricks hire remote employees?

Databricks offers remote work opportunities for certain roles, especially those related to software engineering, data science, and cloud infrastructure. The availability of remote positions depends on the specific job and team requirements, and candidates should review individual job postings for location details.

Is Databricks a good company to work for?

As a company, Databricks is known for its focus on data analytics and cloud-based platforms, offering roles that involve working with tools like Apache Spark and machine learning. Employee reviews often cite a collaborative environment and opportunities for skill development, though experiences can vary by role and location.

What are jobs in Databricks?

Jobs in Databricks refer to roles that involve developing, managing, and optimizing data workflows using the Databricks platform, which is built on Apache Spark. These positions often require skills in data engineering, data science, or machine learning, and may involve working with cloud environments, SQL, and programming languages like Python or Scala.

What are the most commonly searched types of Databricks jobs in Texas?

The most popular types of Databricks jobs in Texas are:

What are popular job titles related to Databricks jobs in Texas?

For Databricks jobs in Texas, the most frequently searched job titles are:

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

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

What cities in Texas are hiring for Databricks jobs?

Cities in Texas with the most Databricks job openings:

Databricks jobs near you
Infographic showing various Databricks job openings in Texas as of September 2026, with employment types broken down into 45% Full Time, 5% Part Time, and 50% Contract. Highlights an 90% In-person, 5% Hybrid, and 5% Remote job distribution, with an average salary of $35,136 per year, or $16.9 per hour.

Databricks Data Engineer

Austin, TX • On-site

IT America Inc
Software Development • 201 - 500 employees
Learn more about IT America Incexternal

$113K - $136K/yr

Contractor

Posted 20 days ago

Job description

Position: Databricks Data Engineer

Location: Austin, TX (Preferred Locals to Austin, TX and Permanent residents of USA) 

Duration: Long-Term Contract

Key Skills: 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 exp is mandatory
  • Design and implement enterprise scale solutions on the Databricks Lakehouse Platform.
  • Architect end to end data pipelines for batch and real time processing using Apache Spark and PySpark.
  • Develop scalable data ingestion, transformation, and data quality frameworks.
  • Design and implement Medallion Architecture (Bronze, Silver, Gold) using Delta Lake.
  • Build and optimize data warehouses, data marts, and analytical solutions.
  • Implement data governance, security, lineage, and access controls using Unity Catalog.
  • Develop and support AI/BI dashboards, semantic models, and self-service analytics solutions.
  • Configure and optimize Genie Spaces to enable natural language business queries and conversational analytics.
  • Design and deploy Generative AI and RAG based solutions using Databricks Mosaic AI and Vector Search.
  • Collaborate with business users to translate requirements into scalable data and AI solutions.
  • Optimize Databricks workloads for performance, scalability, reliability, and cost efficiency.
  • Lead cloud native implementations across  Azure environments.
  • Define architecture standards, best practices, and reusable design patterns.
  • Mentor data engineers, analysts, and architects on Databricks technologies and platform adoption.
  • Lead migration initiatives from legacy data warehouses and analytics platforms to Databricks.
  • Build and maintain Genie Spaces for business self-service analytics.
  • Create semantic models, metrics, and trusted data assets for AI driven reporting.
  • Develop natural language to SQL analytics solutions using Databricks Genie.
  • Implement RAG solutions using enterprise data and Vector Search.
  • Optimize AI/BI dashboards and conversational analytics experiences.
  • Troubleshoot Spark performance, query optimization, and workload management.
  • Automate data validation, monitoring, and governance controls.
  • Support AI use cases using Mosaic AI model serving and inference endpoints.

Technical Skills:

  • Databricks Lakehouse Platform
  • Apache Spark, PySpark, Spark SQL
  • Python, SQL
  • Delta Lake, Delta Live Tables, Lakeflow
  • Unity Catalog
  • Databricks AI/BI and Genie
  • Mosaic AI, Vector Search, RAG
  • Data Modeling (Dimensional & Data Vault)
  • Structured Streaming
  • Data Quality and Data Governance
  • Azure
  • Terraform, Git, Azure DevOps, Jenkins
  • REST APIs and Data Integration
  • Performance Tuning and Cost Optimization