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Contract Databricks Developer Jobs in Austin, TX

Saxon Global

ML Engineer

Austin, TX

What this role will do • Design and develop ETL/ELT pipelines in Azure Databricks to support ... data contracts, model data for consumption, and deliver governed tables and volumes in Unity ...

Apolis

Sr. ML Engineer

Austin, TX · On-site

$103K - $142K/yr

Senior ML Engineer This role will start as a 3 month contract but has a strong chance of extension ... We are seeking a Senior ML Engineer to help deploy machine learning models and build the Databricks ...

WorkNovas LLC

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.

Neos Consulting

Data Architect

Austin, TX · On-site +1

$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 ...

Deloitte

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 ...

YETI Coolers LLC

Sr. Data Architect

Austin, TX · On-site

$66.75 - $89.25/hr

Design modern Lakehouse and analytical architectures leveraging Databricks and/or Google BigQuery ... Establish standards for metadata management, data contracts, and stewardship across domains.

YETI Coolers LLC

Sr. Data Architect

Austin, TX · On-site

$66.75 - $89.25/hr

Design modern Lakehouse and analytical architectures leveraging Databricks and/or Google BigQuery ... Establish standards for metadata management, data contracts, and stewardship across domains.

Procore

Senior Software Engineer

Austin, TX · On-site

$121K - $160K/yr

As a member of the DevOps Tools Team you will design and build platform services that address ... Databricks and Atlassian Compass. * Implement robust and scalable platform software components ...

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How much do contract databricks developer jobs pay per hour?

As of Jun 18, 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:
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Contract Databricks Developer jobs near you
Data & AI Automation Engineer (Databricks)

Data & AI Automation Engineer (Databricks)

IT America Inc

Austin, TX • On-site

Contractor

Posted 9 days ago

Job description

Position: Data & AI Automation Engineer (Databricks)

Location: Austin, TX (Locals preferred - Hybrid 3 Days Onsite Weekly)

Duration: Long-Term Contract

Required Skills: Azure Databricks, Azure Cloud, Generative AI, LLMs

Note: Looking for Permanent / Visa Independent Consultants

Overview:

We are seeking an experienced Data & AI Automation Engineer to lead the development of intelligent automation solutions within an Azure Databricks ecosystem. This role focuses on leveraging Large Language Models (LLMs), AI agents, and advanced automation techniques to enhance data engineering productivity, accelerate software delivery, and improve data quality processes.

The ideal candidate will combine strong data engineering expertise with AI-driven automation capabilities to build scalable solutions that streamline development, testing, governance, and operational activities across the data platform. Working closely with architects, engineers, and platform teams, this individual will help drive innovation through intelligent agent frameworks and automated workflows.

Key Responsibilities:

  • Architect and develop AI-powered agents using LLMs, rule-based logic, or hybrid approaches to automate data engineering operations within Azure Databricks.
  • Create automation solutions that generate, optimize, and refactor PySpark and SQL code to improve development efficiency and maintainability.
  • Design intelligent testing and validation agents to automate data quality assessments, reconciliation processes, and QA activities.
  • Implement automated governance capabilities including metadata management, lineage tracking, compliance monitoring, and policy enforcement.
  • Develop autonomous CI/CD functions such as test creation, deployment verification, release validation, and recovery/rollback procedures.
  • Build monitoring and diagnostic agents capable of detecting anomalies, identifying performance issues, and supporting root-cause investigations.
  • Establish prompt engineering standards, reusable templates, and agent orchestration patterns tailored to enterprise data platforms.
  • Partner with data engineering and architecture teams to identify automation opportunities and prioritize high-value initiatives.
  • Define and enforce best practices for AI agent lifecycle management, including development, testing, deployment, observability, and maintenance.
  • Produce technical documentation, workflow diagrams, operational procedures, and knowledge-transfer materials.
  • Evaluate emerging AI technologies, agent frameworks, and automation tools to support continuous platform improvement.

Required Experience:

  • 10+ years of experience in Data Engineering, Software Engineering, or a related technical discipline.
  • Extensive hands-on experience with modern cloud data platforms such as Azure Databricks, Snowflake, or similar technologies.
  • Proven background building AI-driven automation solutions utilizing LLMs, prompt engineering methodologies, and agent orchestration frameworks.
  • Strong programming expertise in Python and advanced SQL development within production environments.
  • Practical experience working with Azure Databricks, including notebooks, workflows, jobs, Delta Live Tables (DLT), and related services.
  • Experience implementing CI/CD and Continuous Testing (CT) pipelines using tools such as GitHub Actions and Azure DevOps.
  • Demonstrated success creating automated testing frameworks, data validation solutions, or quality assurance processes.
  • Previous experience supporting highly regulated, compliance-driven, or risk-sensitive environments is advantageous.

Technical Skills:

  • Advanced Python development skills with a strong foundation in software engineering principles, testing methodologies, documentation standards, and source control practices.
  • Expertise in SQL and PySpark performance tuning and optimization.
  • Hands-on experience integrating LLM services, AI APIs, prompt engineering techniques, and agent frameworks such as Databricks Agent Framework, LangChain, AutoGen, OpenAI, or Azure OpenAI.
  • Deep understanding of Azure Databricks, including Delta Lake, workflows, asset bundles, and enterprise-scale data processing.
  • Experience building workflow automation solutions using orchestration platforms, serverless technologies, or event-driven architectures.
  • Strong analytical skills with the ability to break down complex business and technical processes into scalable automation components.
  • Excellent communication skills with the ability to explain technical designs, AI agent architectures, and automation strategies to both technical and non-technical stakeholders.

Education:

  • Bachelor’s degree in Computer Science, Software Engineering, Data Science, Information Technology, or a related field.
  • Master’s degree preferred.