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Contract Databricks Data Engineer Jobs in Austin, TX

Data Engineer - Senior Associate

Austin, TX · On-site

$77K - $202K/yr

... Databricks Data Engineer Associate] is a plus - Designing and implementing thorough data architecture strategies - Developing and documenting data models, data flow diagrams, and data architecture ...

Data Engineer - Senior Manager

Austin, TX · On-site

$124K - $280K/yr

... Architect, Databricks Data Engineer Associate] is a plus - Designing and implementing thorough data architecture strategies - Developing and documenting data models and data flow diagrams ...

Data Engineer

Austin, TX

$113K - $136K/yr

Build and support API-first data services, data contracts, and integration workflows using REST ... Experience with dbt, Airflow, Databricks Workflows/Jobs, Fabric notebooks, Spark, or similar ...

... Databricks Data Engineer Associate] is a plus - Designing and implementing thorough data architecture strategies that meet the current and future business needs - Developing and documenting data ...

Data Engineer

Austin, TX · On-site

$113K - $136K/yr

Together. Summary The Data Engineer, Solutions & Data role designs, builds, and operates data ... Data pipeline tooling and cloud data services experience (Azure Data Factory, Azure Databricks ...

Sr. Data Engineer

Austin, TX · On-site

$113K - $136K/yr

The Senior Data Engineer will be part of a team that designs, builds, and operates YETI's enterprise data platform with a strong emphasis on Azure Databricks and Google BigQuery. This role is ...

Sr. Data Engineer

Austin, TX

$113K - $136K/yr

The Senior Data Engineer will be part of a team that designs, builds, and operates YETI's enterprise data platform with a strong emphasis on Azure Databricks and Google BigQuery. This role is ...

Senior Data Engineer

Austin, TX · Hybrid

$105K - $142K/yr

Collaborate with different teams on data contracts and schema agreements * Lead design and ... Design Databricks cluster policies, autoscaling configurations, and cost optimization strategies

Lead Data Engineer

Austin, TX · On-site

$101K - $133K/yr

Design, architect, and deliver production-grade, scalable data pipelines and AI-ready data platforms using Databricks,AWScloud-native services and modern data engineering frameworks. * Lead end-to ...

Senior Data Engineer

Austin, TX · On-site

$69K - $99K/yr

Design, develop, and maintain reliable ETL/ELT workflows using Databricks, Spark, and Python. * Enable Data Access & Analytics: Partner with analytics, product, and engineering teams to ensure timely ...

Data Engineer

Austin, TX

$113K - $136K/yr

Partner with product managers, data scientists, and engineers to translate fraud and risk ... Exposure to platforms like Databricks, AWS Glue, AWS Sagemaker, Snowpark RESPONSIBILITIES ...

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Contract Databricks Data Engineer information

See Austin, TX salary details

$44.1K

$128.6K

$175.9K

How much do contract databricks data engineer jobs pay per year?

As of Jul 13, 2026, the average yearly pay for contract databricks data engineer in Austin, TX is $128,576.00, according to ZipRecruiter salary data. Most workers in this role earn between $113,500.00 and $136,300.00 per year, depending on experience, location, and employer.

What are some common challenges faced by contract Databricks Data Engineers when integrating data from multiple sources?

As a contract Databricks Data Engineer, you'll often encounter challenges related to integrating diverse data sources, such as on-premises databases, cloud storage, and APIs. These challenges may include handling inconsistent data formats, managing data quality, and ensuring secure data transfers. Additionally, adapting to clients' unique data architectures and optimizing ETL pipelines for performance in a cloud environment are common tasks. Collaboration with data scientists, analysts, and other engineers is critical to ensure data is both accessible and reliable for downstream analytics and machine learning.

What are Contract Databricks Data Engineers?

Contract Databricks Data Engineers are professionals hired on a temporary or project basis to design, build, and maintain data infrastructure using Databricks, a unified analytics platform. They typically work with big data tools, cloud environments, and programming languages like Python or Scala to process and analyze large datasets. Their responsibilities often include developing data pipelines, optimizing data workflows, and collaborating with data scientists and analysts to support business objectives. Because they are contractors, their roles can vary by project and organization, offering flexibility and specialized expertise.

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

To excel as a Contract Databricks Data Engineer, you need strong experience in data engineering, SQL, Spark, and cloud platforms, often supported by a degree in computer science or a related field. Familiarity with Databricks, Apache Spark, Python or Scala, and cloud services like AWS or Azure is typically required, along with relevant certifications. Excellent problem-solving, communication, and collaboration skills help you work effectively in dynamic, project-based environments. These competencies ensure the efficient design and implementation of scalable data solutions, driving business insights and project success.
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 cities near Austin, TX are hiring for Contract Databricks Data Engineer jobs? Cities near Austin, TX with the most Contract Databricks Data Engineer job openings:
Senior Databricks Data Engineering Consultant

Senior Databricks Data Engineering Consultant

Clarkston Consulting

Austin, TX

$105K - $142K/yr

Full-time

Medical, Dental, Vision, Life, Retirement, PTO

Posted 9 days ago


Job description

This job is posted in multiple locations. When not at a client site, consultants work from their home office. Relocation is not required.

Clarkston Consulting is seeking motivated, self-driven leaders who are energized by team results and interested in joining a firm that values its culture and people as its biggest strengths. Come join us as a Senior Databricks Data Engineering Consultant and in this role, you will deliver creative business solutions to our market-leading clients in the life sciences, consumer products, and retail industries.

Together, we can find the answers to our clients' most challenging business problems through a combination of our industry expertise, business process knowledge, and consulting excellence.

What You'll Do 

As a Senior Databricks Data Engineering Consultant at Clarkston you will:

  • Support our solution architects, software developers, data analysts and data scientists on data and analytics initiatives
  • Serve in a lead capacity on client initiatives
  • Ensure optimal data delivery architecture is consistent throughout ongoing projects
  • Be self-directed and comfortable supporting the data needs of multiple teams, systems and products
  • Be excited by the prospect of building our company's data engineering capabilities to support our next generation of products and data initiatives
  • Lead, grow, and mentor a data engineering team in developing, maintaining, and monitoring data solutions for clients
  • Assist in defining client solutions and support managing their delivery

How You'll Grow
Beyond your day-to-day responsibilities, throughout your career at Clarkston you will:

  • Receive the support and mentorship of your Clarkston colleagues and leaders
  • Expand your existing skillset with internal and external professional development opportunities

Requirements

What We're Looking For:

An ideal Senior Databricks Data Engineering Consultant candidate would have experience:

  • Designing, developing, and implementing data engineering solutions using Databricks on cloud platforms
  • Strong programming skills for data processing and automation in Python
  • Skilled in developing and maintaining data pipelines and workflows in Databricks using Python
  • Assembling large, complex data sets that meet functional / non-functional business requirements
  • Identifying, designing, and implementing internal process improvements: automating manual processes, optimizing data delivery, re-designing infrastructure for greater scalability, etc.
  • Leveraging the appropriate infrastructure required for optimal extraction, transformation, and loading of data from a wide variety of data sources using SQL and 'big data' technologies.
  • Building analytics tools that utilize the data pipeline to provide actionable insights into customer acquisition, operational efficiency and other key business performance metrics
  • Working with stakeholders including the Product, Data and Design teams to assist with data-related technical issues and support their data infrastructure needs

Additional Qualifications:

  • 3+ years of experience in a Databricks Data Engineer role
  • Advanced working SQL knowledge and experience working with relational databases, query authoring (SQL) as well as working familiarity with a variety of databases
  • Experience building and optimizing 'big data' data pipelines, architectures and data sets
  • Experience performing root cause analysis on internal and external data and processes to answer specific business questions and identify opportunities for improvement
  • Strong analytic skills related to working with unstructured datasets
  • Build processes supporting data transformation, data structures, metadata, dependency and workload management
  • A successful history of manipulating, processing, and extracting value from large, disconnected datasets
  • Working knowledge of message queuing, stream processing, and highly scalable 'big data' data stores
  • Experience supporting and working with cross-functional teams in a dynamic environment
  • Experience with Azure or AWS cloud services
  • Experience with object-oriented/object function scripting languages such as Scala, Python, Java, and / or C++
  • Graduate degree in Computer Science, Statistics, Informatics, Information Systems or an equivalent field

Travel Requirement
Travel is an integral part of this role and is estimated to average 30-50%. This may vary based upon client and project needs. When not traveling, consultants work from their home office. Relocation is not required.

More About Clarkston

Founded in 1991, Clarkston Consulting delivers technology and management solutions to market leaders in the life sciences, consumer products, and retail industries. At Clarkston, we cultivate success - for our clients, for our people, and for our firm. We utilize a team approach leveraging our collective expertise and industry knowledge to solve our clients' business challenges.

AI Statement

Clarkston values thoughtful and responsible AI use for resume writing, interview preparation, and research. However, real-time use of AI to generate or script answers during interviews - including video or live conversations - is strictly prohibited and will lead to disqualification. We seek candidates who show authenticity, good judgment, and genuine engagement throughout the process.

Benefits

Our benefits include:

  • Comprehensive Health and Wellness Benefits (Medical, Dental, Vision, and more)
  • 401k with company contributions
  • Paid vacation, personal days, holidays, and sick leave
  • Paid Parental Leave and Family Building Benefits (Adoption, Surrogacy, and Infertility Support)
  • Life and Disability Insurance
  • Training and Professional Development investments, Tuition Assistance, and more

We strive to ensure that every candidate has an equitable and accessible experience. If you are selected to move forward in the interview process, we will share information about how to request any accommodations. You may also request support at any point during the hiring process.

Visit Careers at Clarkston to learn more about our culture, benefits, and opportunities.

Clarkston Consulting is an equal opportunity employer. We are committed to ensuring our firm is rich in diverse skills, competencies, strengths, personalities, and culture. We foster an inclusive environment that embraces the unique contributions of our people to further our purpose. Please visit Diversity @ Clarkston to learn more about our diversity initiatives.