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Freelance Databricks Data Engineer Jobs in Austin, TX

Hireblazer

Senior Databricks Engineer

Austin, TX · On-site

$103K - $142K/yr

Senior Databricks Engineer Duration: 12 Months (3 Years Ext) Location: Austin, TX 78751. The ... Develop robust data models and implement data quality, validation, and governance frameworks.

SpyCloud

Senior Data Engineer

Austin, TX

$144K - $187K/yr

As a Senior Data Engineer at SpyCloud, you will lead the architectural transformation of our data ... Use databricks/spark to prepare, transform and serve data to customers * Build and optimize real ...

1 point system

Spark/Pyspark Data Engineer

Austin, TX · On-site

$113K - $136K/yr

Technical Stack Very strong SQL Spark / PySpark Databricks Enterprise‑scale data engineering experience Interview Process 4 rounds minimum At least 1-2 panel interviews (1 hour each) Additional ...

SpyCloud

Senior Data Engineer

Austin, TX · On-site

$144K - $187K/yr

As a Senior Data Engineer at SpyCloud, you will lead the architectural transformation of our data ... Use databricks/spark to prepare, transform and serve data to customers * Build and optimize real ...

SpyCloud

Senior Data Engineer

Austin, TX · On-site +1

$144K - $187K/yr

As a Senior Data Engineer at SpyCloud, you will lead the architectural transformation of our data ... Use databricks/spark to prepare, transform and serve data to customers * Build and optimize real ...

McLane Company

Sr Data Engineer

Austin, TX · On-site

$114K - $137K/yr

Proficiency with data warehouses/lakes and big data technologies (e.g., Spark/Databricks, Snowflake ... Strong software engineering fundamentals and tooling (Git, CI/CD, JIRA); comfort in Linux Bash/Z ...

Deloitte

Senior Data Engineer

Austin, TX · Hybrid

$105K - $142K/yr

Design Databricks cluster policies, autoscaling configurations, and cost optimization strategies ... As an experienced Senior Data Engineer you will have the ability to share new ideas and collaborate ...

General Motors

Senior Data Engineer

Austin, TX · On-site

$133K - $188K/yr

Build and support Databricks jobs and workflows for orchestration, scheduled execution, retraining ... Partner with data scientists, data engineers, platform teams, architecture, manufacturing, and ...

General Motors

Senior Data Engineer

Austin, TX

$133K - $188K/yr

Build and support Databricks jobs and workflows for orchestration, scheduled execution, retraining ... Partner with data scientists, data engineers, platform teams, architecture, manufacturing, and ...

Base Power Company

Data Engineer

Austin, TX · On-site

$113K - $136K/yr

As a Software Engineer on the Data Infrastructure team, you will design, build, and operate the ... Databricks) * Strong coding skills in Python and SQL; experience with Go or another compiled ...

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All JobsDatabricks Data Engineer JobsFreelance Databricks Data Engineer JobsFreelance Databricks Data Engineer Jobs in Austin, TX

Freelance Databricks Data Engineer information

See Austin, TX salary details

$14

$47

$131

How much do freelance databricks data engineer jobs pay per hour?

As of Aug 8, 2026, the average hourly pay for freelance databricks data engineer in Austin, TX is $47.29, according to ZipRecruiter salary data. Most workers in this role earn between $24.09 and $61.25 per hour, depending on experience, location, and employer.

How do freelance Databricks data engineers typically collaborate with client teams during projects?

Freelance Databricks Data Engineers often work remotely and interact with client teams through regular virtual meetings, project management platforms, and collaboration tools like Slack or Microsoft Teams. Clear communication is crucial, as you'll coordinate closely with data scientists, analysts, and IT stakeholders to understand requirements, deliver solutions, and troubleshoot issues. Establishing a structured workflow and providing frequent progress updates help ensure alignment and project success. Flexibility and proactive problem-solving are especially important in adapting to each client's unique data infrastructure and business goals.

What is the difference between Freelance Databricks Data Engineer vs Freelance Data Engineer?

AspectFreelance Databricks Data Engineer

Required SkillsProficiency in Databricks, Spark, Python, SQL, cloud platforms
Work EnvironmentRemote, project-based, client-specific
CertificationsDatabricks certifications, cloud platform credentials
Industry UsageData analytics, big data projects, AI/ML integrations

Freelance Databricks Data Engineers specialize in building and maintaining data pipelines using Databricks and Spark, often working on big data projects in cloud environments. Freelance Data Engineers may have broader skills across various tools and platforms but might not focus specifically on Databricks. Both roles are remote, project-based, and require similar certifications, but the Databricks-specific expertise makes the Freelance Databricks Data Engineer more specialized in Databricks ecosystems.

What is a freelance Databricks data engineer?

Freelance Databricks Data Engineers are independent professionals who specialize in designing, building, and maintaining data pipelines and analytics solutions using the Databricks platform. They work on a contract basis, often helping organizations with data integration, ETL processes, and leveraging Apache Spark for big data analytics. These engineers typically have expertise in cloud platforms, SQL, Python, and other data engineering tools, and they offer flexible support based on project needs.

What are the key skills and qualifications needed to thrive as a freelance Databricks data engineer?

To thrive as a Freelance Databricks Data Engineer, you need strong skills in data engineering, SQL, Python or Scala, and a solid understanding of big data concepts, often supported by a degree in computer science or related fields. Proficiency with Databricks, Apache Spark, cloud platforms (such as AWS or Azure), and relevant certifications (like Databricks Certified Data Engineer) is highly valued. Excellent problem-solving, communication, and self-management skills are essential for collaborating remotely with clients and handling diverse projects. These skills enable efficient data pipeline development, scalable analytics, and successful client delivery in dynamic freelance environments.
What are the most commonly searched types of Databricks Data Engineer jobs in Austin, TX? The most popular types of Databricks Data Engineer jobs in Austin, TX are:
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What job categories do people searching Freelance Databricks Data Engineer jobs in Austin, TX look for? The top searched job categories for Freelance Databricks Data Engineer jobs in Austin, TX are:
What cities near Austin, TX are hiring for Freelance Databricks Data Engineer jobs? Cities near Austin, TX with the most Freelance Databricks Data Engineer job openings:
Freelance Databricks Data Engineer jobs near you

Senior Databricks Engineer

Hireblazer

Austin, TX • On-site

$103K - $142K/yr

Contractor

Posted 12 days ago

Job description

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 (Mondays and Thursdays) required to be onsite at the location listed above.

Summary:

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.

Required Skills:

8 Years of Required Experience in IT, supporting the design, development, deployment, or delivery of technology solutions.

8 Years of Required Experience with Databricks, including building and optimizing ETL/ELT data pipelines using Apache Spark.

8 Years of Required Experience in data warehousing and dimensional data modeling (star/snowflake schemas).

8 Years of Required Proficiency in SQL and Python (or Scala) for large-scale data processing.

8 Years of Required Experience designing and developing dashboards and applications natively within Databricks (e.g., Databricks SQL dashboards, Databricks Apps).

8 Years of Required Experience implementing data governance, data quality, and data security practices.

8 Years of Required Experience implementing Lakeflow Declarative Pipelines (formerly Delta Live Tables/DLT) for building and managing production data pipelines.

8 Years of 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 Years of Required Excellent communication skills, both verbal and written, including presenting insights to technical and business stakeholders.

1 Year of Preferred Experience working in public sector or state government environments.

1 Year of Preferred Databricks certification (e.g., Databricks Certified Data Engineer Associate/Professional).

1 Year of Preferred Experience with CI/CD practices for data pipelines (DevOps, Git-based workflows).