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Databricks Engineer Jobs in Round Rock, TX (NOW HIRING)

Innosoul inc

Databricks Engineer

Austin, TX · On-site

Job ID: TX-529701754 Hybrid/Local TX Govt Databricks Engineer (Databricks/Data Engineer Associate/Professional/15+) with ETL/ELT, Apache Spark, DW, data modeling/star/snowflake schemas, SQL/Python ...

Amer Technology, 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 ...

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NHRG, Inc.

Be Seen First

Databricks Engineer

Austin, TX · On-site

$85 - $95/hr

... • Databricks Certification (Associate/Professional Data Engineer): 1+ year • CI/CD Practices for Data Pipelines (DevOps, Git): 1+ year II. WORKER SKILLS AND QUALIFICATIONS Please fill in the ...

New

Shaarpro

Databricks Engineer

Austin, TX · On-site

We are seeking a Senior Databricks Engineer with 8+ years of experience to design, build, and optimize enterprise-grade data solutions on Databricks. In this role, you will work with broad latitude ...

NHRG, Inc.

Be Seen First

Databricks Engineer

Austin, TX · On-site

$85 - $95/hr

... • Databricks Certification (Associate/Professional Data Engineer): 1+ year • CI/CD Practices for Data Pipelines (DevOps, Git): 1+ year II. WORKER SKILLS AND QUALIFICATIONS Please fill in the ...

New

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 ...

Maddisoft

Senior Databricks Data Engineer

Austin, TX · On-site

$105K - $142K/yr

Senior Databricks Data Engineer Location: Austin, TX (Hybrid) Interview Mode: In-Person Job Summary We are seeking an experienced Senior Databricks Data Engineer with 8+ years of IT experience in ...

New

Maddisoft

Senior Databricks Data Engineer

Austin, TX · On-site

$105K - $142K/yr

Senior Databricks Data Engineer Location: Austin, TX (Hybrid) Interview Mode: In-Person Job Summary We are seeking an experienced Senior Databricks Data Engineer with 8+ years of IT experience in ...

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Masterapp Labs

Sr. Databricks Data Engineer

Austin, TX · On-site

$113K - $136K/yr

Job Title: Sr. Databricks Data Engineer Location: Austin, TX, (Hybrid)-3 days remote with 2 days (Mondays and Thursdays) required to be onsite Position Type: Contract Interview Mode: Both MS Teams ...

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All JobsDatabricks Engineer JobsDatabricks Engineer Jobs in Round Rock, TX

Databricks Engineer information

See Round Rock, TX salary details

$55.5K

$104.1K

$189.3K

How much do databricks engineer jobs pay per year?

As of Jul 27, 2026, the average yearly pay for databricks engineer in Round Rock, TX is $104,101.00, according to ZipRecruiter salary data. Most workers in this role earn between $75,100.00 and $123,600.00 per year, depending on experience, location, and employer.

What engineer makes $500,000 a year?

Senior Databricks Engineers with extensive experience, specialized skills in big data, cloud platforms, and advanced analytics can earn salaries approaching or exceeding $500,000 annually, especially in high-cost-of-living areas or with significant bonuses and stock options. Such compensation typically requires a combination of technical expertise, leadership roles, and years of industry experience.

Is Databricks Data Engineer in demand?

Databricks Data Engineers are in high demand due to the increasing adoption of cloud-based data platforms and the need for expertise in big data processing, Spark, and cloud environments. Companies seek professionals skilled in data pipeline development, ETL processes, and cloud tools like AWS or Azure, making this a strong job market for qualified candidates.

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 engineering may earn higher compensation. Salaries can also vary based on industry demand and certifications held.

Is Databricks a high paying job?

A Databricks Engineer typically earns a high salary due to the specialized skills required in cloud computing, big data processing, and Spark platform expertise. Compensation varies based on experience, location, and certifications, but it is generally above average for data engineering roles.

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, and why are they important?

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 popular job titles related to Databricks Engineer jobs in Round Rock, TX? For Databricks Engineer jobs in Round Rock, TX, the most frequently searched job titles are:
What job categories do people searching Databricks Engineer jobs in Round Rock, TX look for? The top searched job categories for Databricks Engineer jobs in Round Rock, TX are:
What cities near Round Rock, TX are hiring for Databricks Engineer jobs? Cities near Round Rock, TX with the most Databricks Engineer job openings:
Databricks Engineer jobs near you
Infographic showing various Databricks Engineer job openings in Round Rock, TX as of July 2026, with employment types broken down into 1% As Needed, 90% Full Time, 4% Part Time, and 5% Contract. Highlights an 83% Physical, 4% Hybrid, and 13% Remote job distribution, with an average salary of $104,101 per year, or $50 per hour.
Databricks Engineer

Databricks Engineer

Innosoul inc

Austin, TX • On-site

Other

Posted 3 days ago

Job description

Job ID: TX-529701754

Hybrid/Local TX Govt Databricks Engineer (Databricks/Data Engineer Associate/Professional/15+) with ETL/ELT, Apache Spark, DW, data modeling/star/snowflake schemas, SQL/Python/Scala, governance, Lakeflow Declarative Pipelines/DLT, Delta Lake, medallion architecture, orchestration/Airflow, CI/CD/DevOps/Git, public sector experience

Location: Austin, TX (HHSC)
Duration: 12 Months
Position will be 3 days remote with 2 days (Mondays and Thursdays) required to be onsite at the location listed above. Program will only accept LOCAL ONLY candidates for this position. ***Days are subject to change per manager***

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

Description:
8 or more years of experience, relies on experience and judgment to plan and accomplish goals, independently performs a variety of complicated tasks, a wide degree of creativity and latitude is expected.

Understands business objectives and problems, identifies alternative solutions, performs studies and cost/benefit analysis of alternatives. Analyzes user requirements, procedures, and problems to automate processing or to improve existing computer system: Confers with personnel of organizational units involved to analyze current operational procedures, identify problems, and learn specific input and output requirements, such as forms of data input, how data is to be; summarized, and formats for reports. Writes detailed description of user needs, program functions, and steps required to develop or modify computer program. Reviews computer system capabilities, specifications, and scheduling limitations to determine if requested program or program change is possible within existing system.

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.

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