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

Neos Consulting

Databricks Engineer

Austin, TX · On-site

Texas Neos is Seeking a Databricks Engineer fora contract long-term role with our client in Austin, TX. ***HYBRID - ONLY CANDIDATES CURRENTLY RESIDING IN THE AUSTIN, TX AREA (within 50 miles) WILL BE ...

New

HonorVet Technologies

Databricks Engineer

Austin, TX · On-site

Databricks Engineer Location: Austin, TX 78751 Duration: 12 Months Contract Interview: Through Microsoft Teams and In person Work Schedule: Position will be 3 days remote with 2 days (Mondays and ...

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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 ...

Innovee Consulting LLC

Databricks Engineer

Austin, TX · On-site

Role: Databricks Engineer Location: Austin, TX (Hybrid) Duration: Long Term In Person interview will be required Responsibilities: * Understands business objectives and problems, identifies ...

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Yale University

Databricks Engineer

Austin, TX · On-site

Role: Databricks Engineer Location: Austin, TX (Hybrid) Duration: Long Term In Person interview will be required Responsibilities: * Understands business objectives and problems, identifies ...

New

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)

New

Steck Systems

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 ...

New

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 ...

New

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 ...

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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 ...

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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 29, 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

Neos Consulting

Austin, TX • On-site

Other

Posted 2 days ago

Job description

City : Austin
State : Texas
Neos is Seeking a Databricks Engineer fora contract long-term role with our client in Austin, TX.
***HYBRID - ONLY CANDIDATES CURRENTLY RESIDING IN THE AUSTIN, TX AREA
(within 50 miles) WILL BE CONSIDERED***
Position is Hybrid - 3 days remote with 2 days (Mondays and Thursdays) required to be onsite(Austin, TX 78751)
No calls, no emails, please respond directly to the "apply" link with your resume and contact details.
The Databricks Engineer will 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.
Candidate Skills and Qualifications
Requirements
  • 8 years experience in IT, supporting the design, development, deployment, or delivery of technology solutions.
  • 8 years experience with Databricks, including building and optimizing ETL/ELT data pipelines using Apache Spark.
  • 8 years experience in data warehousing and dimensional data modeling (star/snowflake schemas).
  • 8 years proficiency in SQL and Python (or Scala) for large-scale data processing.
  • 8 years experience designing and developing dashboards and applications natively within Databricks (e.g., Databricks SQL dashboards, Databricks Apps).
  • 8 years experience implementing data governance, data quality, and data security practices.
  • 8 years experience implementing Lakeflow Declarative Pipelines (formerly Delta Live Tables/DLT) for building and managing production data pipelines.
  • 8 years 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 years excellent communication skills, both verbal and written, including presenting insights to technical and business stakeholders.

Preferred Qualifications
  • 1 year experience working in public sector or state government environments.
  • 1 year Databricks certification (e.g., Databricks Certified Data Engineer Associate or Professional).
  • 1 year experience with CI/CD practices for data pipelines (DevOps, Git-based workflows).

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