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Contract Databricks Developer Jobs in Austin, TX

Socket.dev

Engineering Manager - TX or MA

Austin, TX · On-site

$140 - $180/hr

Contribute to practice growth by supporting operational needs such as RFP responses, contract ... Spark, Databricks), built on cloud platforms (AWS, Azure, or GCP) with modern practices like ...

New

Presidio-2

Engineering Manager - TX or MA

Austin, TX · On-site

$150 - $210/hr

Contribute to practice growth by supporting operational needs such as RFP responses, contract ... Spark, Databricks), built on cloud platforms (AWS, Azure, or GCP) with modern practices like ...

New

Arrive Logistics

Senior Data Engineer

Austin, TX · On-site

$105K - $142K/yr

Designs, develops, and evaluates AI agents and reusable skill libraries to drive developer ... Experience with a modern cloud data warehouse like Snowflake, Databricks, BigQuery, or Redshift.

Arrive Logistics

Senior Data Engineer

Austin, TX · On-site

$105K - $142K/yr

Designs, develops, and evaluates AI agents and reusable skill libraries to drive developer ... Experience with a modern cloud data warehouse like Snowflake, Databricks, BigQuery, or Redshift.

Aledade PBC

Clinical Informaticist

Austin, TX · Remote

Working at the intersection of clinical knowledge and data engineering, you will collaborate with ... Strong skills in querying, analyzing, and validating clinical data (experience with Databricks ...

Aledade PBC

Clinical Informaticist

Austin, TX

Working at the intersection of clinical knowledge and data engineering, you will collaborate with ... Strong skills in querying, analyzing, and validating clinical data (experience with Databricks ...

Aledade PBC

Clinical Informaticist

Austin, TX · On-site +1

Working at the intersection of clinical knowledge and data engineering, you will collaborate with ... Strong skills in querying, analyzing, and validating clinical data (experience with Databricks ...

Presidio

Engineering Manager - TX or MA

Austin, TX · On-site

Contribute to practice growth by supporting operational needs such as RFP responses, contract ... Spark, Databricks), built on cloud platforms (AWS, Azure, or GCP) with modern practices like ...

Sustainment

QA Engineer - Gen AI

Austin, TX · On-site

This is a contract opportunity Job Overview: We are seeking a QA Engineer to help ensure the ... Work within an AWS ecosystem, leveraging services such as EKS, S3, SageMaker, or Databricks for ...

Aledade

Senior Security Engineer II - DSPM

Austin, TX · On-site +1

$113K - $155K/yr

Experience with modern cloud data platforms (e.g., Postgres, Snowflake, Databricks, AWS S3) and ... Additionally, by creating value-based contracts across a wide variety of health plans, we aim to ...

Aledade PBC

Senior Security Engineer II - DSPM

Austin, TX · On-site +1

$113K - $155K/yr

Experience with modern cloud data platforms (e.g., Postgres, Snowflake, Databricks, AWS S3) and ... Additionally, by creating value-based contracts across a wide variety of health plans, we aim to ...

Aledade Inc.

Senior Security Engineer II - DSPM

Austin, TX · On-site

$113K - $155K/yr

Experience with modern cloud data platforms (e.g., Postgres, Snowflake, Databricks, AWS S3) and ... Additionally, by creating value-based contracts across a wide variety of health plans, we aim to ...

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Showing results 21-40

All JobsContract Databricks Developer JobsContract Databricks Developer Jobs in Austin, TX

Contract Databricks Developer information

See Austin, TX salary details

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$60

$78

How much do contract databricks developer jobs pay per hour?

As of Aug 21, 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 the key skills and qualifications needed to thrive as a Contract Databricks Developer?

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 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 most commonly searched types of Databricks Developer jobs in Austin, TX?

The most popular types of Databricks Developer jobs in Austin, TX are:

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:

Contract Databricks Developer jobs near you
Infographic showing various Contract Databricks Developer job openings in Austin, TX as of August 2026, with employment types broken down into 67% Full Time, and 33% Contract. Highlights an 67% In-person, and 33% Remote job distribution, with an average salary of $126,777 per year, or $61 per hour.

Sr. Director, Enterprise Integrations & Data Engineering

YETI Coolers LLC

Austin, TX • On-site

$105K - $142K/yr

Full-time

Posted 14 days ago

Job description

At YETI, we believe that time spent outdoors matters more than ever and our gear can make that time extraordinary. When you work here, you'll have the opportunity to create exceptional, meaningful work and problem solve with innovative team members by your side. Together, you'll help our customers get the high-quality gear they need to make the most of their adventures. We are BUILT FOR THE WILD™.
About the Role
We are actively searching for a Senior Director, Enterprise Integrations and Data Engineering to oversee YETI's Data Warehouse, Analytics Platforms, MDM, and Integration Platforms. This role is responsible for defining and executing YETI's enterprise data, analytics, master data management (MDM), and integration strategy. This leader will oversee the platforms, architecture, governance, and engineering capabilities that enable reliable, scalable, and secure data movement across the organization. Partnering closely with business and technology leaders, the Senior Director will drive modernization of YETI's data ecosystem, ensuring the company can leverage trusted data, advanced analytics, automation, AI, and machine learning to accelerate growth and improve decision-making. This role is accountable for the performance and evolution of the enterprise data warehouse, analytics platforms, integration services, and API strategy, while building and leading high-performing teams and strategic vendor partnerships to deliver business value at scale.
What You'll Do
  • Work cross-functionally across engineering, product, sales, and various other teams in support of successful implementations.
  • Modernize core data infrastructure and data sets to support planned business growth.
  • Gather business and functional requirements and translate these requirements into robust, scalable, operable solutions with a flexible and adaptable data architecture.
  • Lead and manage end to end cloud native data platform/data warehouse solutions, provide data and capabilities that are scalable for Data Products & AI/ML Solutions for the enterprise and ensuring the architecture is optimized to meet the requirements and needs of the business.
  • Provide the necessary tools, technologies, data architectures and data stewardship to allow the organization to leverage analytics for making business decisions with both structured and unstructured data, while managing quality, data accuracy and security.
  • Identify, design, and implement engineering process improvements through automating manual processes, optimizing data pipelines, re-designing services for greater scalability.
  • Collaborate with BI Engineers, Software Engineers, Data Scientists and other business stakeholders to deliver high quality data architecture and pipelines.
  • Provide strategy and tools necessary for data exploration, reporting and ability to move towards Artificial Intelligence (AI) and Machine Learning (ML) models.
  • Establish and maintain best practices, standards, and governance for data quality, security, privacy, and compliance across the analytics platform and services.
  • Develop and implement Enterprise Integration strategy, lead the implementation of a scalable API first integration platform.
  • Lead enterprise integrations capabilities covering all data movement across supply chain, merchandising, finance, store, ecommerce, HR, etc.
  • Hire and lead a team of data engineers and analytics professionals.
  • Develop and execute strategies for maintaining and enhancing our enterprise data solutions, including networks, servers, storage, and cloud services.
  • Build the frameworks required for optimal extraction, transformation, and loading of data from a wide variety of data sources using GCP technologies.
  • Build analytics tools that utilize the data pipeline to provide actionable insights and integrate insights with various consumer touchpoints.
  • Oversight of managed services contract for the run and maintain of the data warehouse, analytics platform and services, ensuring service level agreements and quality standards.
  • Collaborate with vendors and partners to optimize technology solutions.
  • Collaborate with cross-functional teams to ensure seamless equipment lifecycle processes.

What You Bring
  • Bachelor's degree required
  • Greater than 15 years of experience in Technology roles, with extensive experience in data engineering and integrations, or equivalent combination of education and experience
  • Greater than 10 years of people management experience, managing both internal and external (contract) resources of varying seniority
  • At least 5 years demonstrated leadership experience in complex business and technical environments, specifically in developing and maintaining large analytical data warehouses (BI/Big data) and a leader in technical problem solving and data integration tools
  • Experience with API Intergration platforms and data movement platforms, Mulesoft, Boomi, Apigee, Google Cloud Platform or other cloud technologies, BigQuery, Databricks, Business Objects, Tableau, Power BI, and other emerging big data technologies.
  • Strong understanding of next gen data practices (e.g., MLOps, Data Ops, Data Science) and experience applying them in an enterprise organization.
  • Fluent in data technologies such as data governance tooling, data platform technologies, and enterprise/data architecture principles.
  • Analytical mindset for addressing complex challenges
  • Passion for building outstanding teams and creating an environment where individuals can do their best work
  • Executive presence and the ability to effectively communicate across varying audiences
  • Strong business and commercial acumen

#LI-AR2
Benefits & Perks:
Click here to learn about the benefits and perks we offer at YETI.
YETI is proud to be an Equal Opportunity Employer.
Our commitment to creating a diverse, equitable, and inclusive culture is at the center of everything we do for our employees. We embrace all applicants looking to bring their authentic selves to YETI and contribute to our mission of keeping the wild WILD. Find out more about our commitment to DE&I at yeti.com/esg.html.
All applicants for employment will be considered without regard to an individual's race, color, sex, gender identity, gender expression, religion, age, national origin or ancestry, citizenship, physical or mental disability, medical condition, family care status, marital status, sexual orientation, genetic information, military or veteran status, or any other basis protected by federal, state or local laws.
YETI Applicant Privacy Notice
YETI welcomes and encourages applications from people with disabilities. Accommodations are available upon request for candidates taking part in all aspects of the selection process. If you require accommodation in order to apply for a job, please contact us at accommodationrequest@yeti.com.

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