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Contract Databricks Developer Jobs in Austin, TX

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 ...

Sr. Data Engineer- Databricks

Austin, TX · On-site

$113K - $136K/yr

Austin, TX Contract: Long term I. DESCRIPTION OF SERVICES 8 or more years of experience, relies on ... The Databricks Engineer should design, develop, and optimize scalable data solutions on Databricks ...

New

Sr. DevOps Engineer

Austin, TX · On-site

$50 - $55/hr

Role: Sr. DevOps Engineer Location: Austin, TX Duration: 12+ Months Contract 10+ years of ... Databricks and/or Snowflake infrastructure experience. * Cost optimization for AI and LLM workloads.

Data Architect

Austin, TX · On-site

$63.25 - $81.25/hr

Texas Neos is Seeking a Data Architect for a contract role for with our client in Austin, TX. ** ... Databricks for advanced data engineering, analytics, and machine learning workloads. Drive the ...

Senior Data Engineer

Austin, TX · Hybrid

$105K - $142K/yr

Databricks (Delta Lake, Unity Catalog, Workflows) * Apache Airflow * Git / Azure DevOps * Deep ... Collaborate with different teams on data contracts and schema agreements * Lead design and ...

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Contract Databricks Developer information

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How much do contract databricks developer jobs pay per hour?

As of Jul 31, 2026, the average hourly pay for contract databricks developer in Austin, TX is $60.95, according to ZipRecruiter salary data. Most workers in this role earn between $54.81 and $67.45 per hour, depending on experience, location, and employer.

What is a Contract Databricks Developer?

A Contract Databricks Developer is a data engineering professional hired on a temporary or project basis to develop, optimize, and maintain data pipelines and analytics solutions using the Databricks platform. They work with cloud data technologies, Spark, and big data frameworks to support organizations in managing large-scale data processing and analytics tasks. Their responsibilities often include building ETL workflows, collaborating with data scientists, and ensuring data quality and performance in data-driven projects.

What are some common challenges faced by Contract Databricks Developers when starting a new project?

As a Contract Databricks Developer joining a new project, you may encounter challenges such as quickly understanding the existing data architecture, adapting to the client's specific workflow, and ensuring seamless integration with their cloud infrastructure (often Azure or AWS). You’ll also need to align with established data governance and security protocols while collaborating with data engineers, analysts, and business stakeholders. Effective communication and proactive documentation are key to overcoming these hurdles and delivering value efficiently within the contract period.

What is the difference between Contract Databricks Developer vs Data Engineer?

AspectContract Databricks DeveloperData Engineer
Primary FocusDeveloping and optimizing data pipelines using Databricks platformDesigning, building, and maintaining scalable data architectures
Skills & CertificationsProficiency in Spark, SQL, Python, Databricks platform, and cloud servicesKnowledge of ETL processes, SQL, Python, cloud platforms, and data modeling
Work EnvironmentProject-based, often remote, with a focus on Databricks environmentsVaries from in-house teams to consulting, working on large-scale data systems

While both roles require expertise in data processing and cloud platforms, a Contract Databricks Developer specializes in building data solutions specifically within the Databricks environment, whereas a Data Engineer has a broader scope in designing and managing overall data infrastructure across various tools and platforms.

What are the key skills and qualifications needed to thrive as a Contract Databricks Developer, and why are they important?

To excel as a Contract Databricks Developer, you need strong expertise in data engineering, big data analytics, and proficiency in programming languages like Python or Scala, typically backed by relevant experience or a degree in computer science. Familiarity with Databricks, Apache Spark, cloud platforms (such as Azure or AWS), and certifications like Databricks Certified Associate Developer are commonly required. Excellent problem-solving, adaptability, and communication skills help you collaborate with clients and teams to deliver tailored data solutions. These competencies are crucial for building scalable data pipelines and efficiently managing large datasets in dynamic project environments.
What are popular job titles related to Contract Databricks Developer jobs in Austin, TX? For Contract Databricks Developer jobs in Austin, TX, the most frequently searched job titles are:
What job categories do people searching Contract Databricks Developer jobs in Austin, TX look for? The top searched job categories for Contract Databricks Developer jobs in Austin, TX are:
What cities near Austin, TX are hiring for Contract Databricks Developer jobs? Cities near Austin, TX with the most Contract Databricks Developer job openings:
Infographic showing various Contract Databricks Developer job openings in Austin, TX as of July 2026, with employment types broken down into 86% Full Time, and 14% Contract. Highlights an 57% In-person, 29% Hybrid, and 14% Remote job distribution, with an average salary of $126,777 per year, or $61 per hour.

Other

Medical, Life, Retirement

Posted 7 days ago


Job description

Work Location

Hybrid,3 days remote with 2 days (Mondays and Thursdays) required to be onsite

Office Location: 4601 W. Guadalupe, Texas 78751

Candidates must be local to Austin, TX or surrounding areas.**

Job Description

We are currently seeking a contract Databricks Engineer to be a key resource on a technical services team for our client, the Texas Health and Human Services Commission (HHSC).

Responsibilities

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.

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.

Qualifications

Minimum Requirements:

8 years of:

  • 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.

Preferred:

1 year of:

  • 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).

Company Overview

Allied Consultants has been contracted with the Texas State Government for 34 years, we are a Top Ten ranked vendor, and premier provider of technical and business staffing solutions. Allied Consultants offers its family of consultants excellent rates, a local support staff, and an attractive benefits package which includes medical insurance (Allied shares a percentage of the cost), life insurance, a matching 401(k) plan and a cafeteria plan. Candidates selected for interview will be required to undergo criminal background checks and may be required to complete a drug screen in accordance with Federal and State Law. Offers of Employment are contingent on a successful background check. Allied Consultants is an equal opportunities employer.