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Databricks Jobs in Round Rock, TX (NOW HIRING)

1 point system

Databricks Engineer

Austin, TX · On-site

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)

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 ...

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 ...

Prophecy Technologies

DATABRICKS SOLUTION ARCHITECT

Austin, TX · On-site

$62.50 - $82.25/hr

Primary Skills Databricks, AWS, SQL Cloud Platforms AWS, Azure, GCP Mandatory Skills * Senior Databricks Engineer * AWS * SQL Key Responsibilities Solution Architecture & Design * Design end-to-end ...

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 ...

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Databricks information

See Round Rock, TX salary details

$21.9K

$35.2K

$47.6K

How much do databricks jobs pay per year?

As of Aug 25, 2026, the average yearly pay for databricks in Round Rock, TX is $35,169.00, 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 job categories do people searching Databricks jobs in Round Rock, TX look for?

The top searched job categories for Databricks jobs in Round Rock, TX are:

What cities near Round Rock, TX are hiring for Databricks jobs?

Cities near Round Rock, TX with the most Databricks job openings:

Databricks jobs near you
Infographic showing various Databricks job openings in Round Rock, TX as of August 2026, with employment types broken down into 90% Full Time, 7% Part Time, and 3% Contract. Highlights an 73% Physical, 5% Hybrid, and 22% Remote job distribution, with an average salary of $35,169 per year, or $16.9 per hour.

Databricks Engineer

Austin, TX • On-site

1 point system
51 - 200 employees
Learn more about 1 point systemexternal

Contractor

Posted 28 days ago

Job description

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).