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Databricks Engineer Jobs in Utah (NOW HIRING)

Sr. Test Automation Engineer

Cottonwood Heights, UT · On-site

$43.50 - $57.25/hr

Senior Test Automation Engineer Duration : Contract to Hire Location : Salt Lake City/Midvale, UT ... Apigee and Databricks • Experience testing applications deployed on public cloud platforms ...

Sr. Test Automation Engineer

Cottonwood Heights, UT · On-site

$43.50 - $57.25/hr

Senior Test Automation Engineer Duration : Contract to Hire Location : Salt Lake City/Midvale, UT ... Apigee and Databricks • Experience testing applications deployed on public cloud platforms ...

Sr. Test Automation Engineer

Cottonwood Heights, UT · On-site

$43.50 - $57.25/hr

Senior Test Automation Engineer Duration : Contract to Hire Location : Salt Lake City/Midvale, UT ... Apigee and Databricks • Experience testing applications deployed on public cloud platforms ...

Sr. Test Automation Engineer

Cottonwood Heights, UT · On-site

$43.50 - $57.25/hr

Senior Test Automation Engineer Duration : Contract to Hire Location : Salt Lake City/Midvale, UT ... Apigee and Databricks • Experience testing applications deployed on public cloud platforms ...

Sr. Test Automation Engineer

Cottonwood Heights, UT · On-site

$43.50 - $57.25/hr

Senior Test Automation Engineer Duration : Contract to Hire Location : Salt Lake City/Midvale, UT ... Apigee and Databricks • Experience testing applications deployed on public cloud platforms ...

Senior Analytics Engineer

Lehi, UT · On-site

$98K - $134K/yr

Snowflake, Redshift, or Databricks acceptable). * Familiarity with programming languages such as Python for workflow automation and data quality checks. * Experience with modern data versioning and ...

... 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 ...

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

This is a product engineering role for someone who wants to build the system, not just spec it. You ... Sean previously built ERP and ML systems at ReMatter and Databricks, seeing how much labor still ...

Sr Data Engineer

Lehi, UT · On-site

$107K - $129K/yr

Collaboration with experts across finance, engineering, data science, programming, and UI/UX will ... Use SQL, Python, Databricks, Snowflake, and SAP HANA to curate and query large data sets, perform ...

... 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 ...

Technical Product Manager

Draper, UT · On-site

$156K - $180K/yr

Partner with data and engineering teams to manage customer data ingestion, modeling, governance, and access, including source systems, databases, Databricks, and enterprise APIs. * Define, oversee ...

Experience working in a modern analytics platform such as Microsoft Fabric, Snowflake, Databricks ... engineering reliability. * Experience improving reporting trust through clearer metric definitions ...

Experience working in a modern analytics platform such as Microsoft Fabric, Snowflake, Databricks ... engineering reliability. * Experience improving reporting trust through clearer metric definitions ...

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Databricks Engineer information

See Utah salary details

$54.2K

$101.6K

$184.8K

How much do databricks engineer jobs pay per year?

As of Jul 14, 2026, the average yearly pay for databricks engineer in Utah is $101,626.00, according to ZipRecruiter salary data. Most workers in this role earn between $73,300.00 and $120,600.00 per year, depending on experience, location, and employer.

What engineer makes $500,000 a year?

Senior Databricks Engineers with extensive experience, specialized skills in big data, cloud platforms, and advanced analytics can earn salaries approaching or exceeding $500,000 annually, especially in high-cost-of-living areas or with significant bonuses and stock options. Such compensation typically requires a combination of technical expertise, leadership roles, and years of industry experience.

Is Databricks Data Engineer in demand?

Databricks Data Engineers are in high demand due to the increasing adoption of cloud-based data platforms and the need for expertise in big data processing, Spark, and cloud environments. Companies seek professionals skilled in data pipeline development, ETL processes, and cloud tools like AWS or Azure, making this a strong job market for qualified candidates.

What are some common challenges faced by Databricks Engineers when working with large-scale data pipelines?

Databricks Engineers often encounter challenges related to optimizing the performance and reliability of large-scale data pipelines. These can include efficiently managing cluster resources, handling data partitioning to prevent bottlenecks, and troubleshooting job failures due to resource constraints or data quality issues. Collaboration with data scientists, analysts, and DevOps teams is essential to ensure seamless integration and deployment of production workflows. Staying current with evolving Databricks features and best practices also plays a key role in overcoming these challenges.

How much does a Databricks engineer make?

A Databricks engineer's salary typically ranges from $100,000 to $150,000 annually, depending on experience, location, and skill level. Senior roles or those with specialized skills in Spark, cloud platforms, or data engineering may earn higher compensation. Salaries can also vary based on industry demand and certifications held.

Is Databricks a high paying job?

A Databricks Engineer typically earns a high salary due to the specialized skills required in cloud computing, big data processing, and Spark platform expertise. Compensation varies based on experience, location, and certifications, but it is generally above average for data engineering roles.

What is a Databricks Engineer?

A Databricks Engineer is a data engineering professional who specializes in using the Databricks platform to build, manage, and optimize data pipelines and analytics solutions. They work with big data technologies like Apache Spark, Delta Lake, and cloud services to process and analyze large datasets efficiently. Their role often involves developing ETL (extract, transform, load) workflows, setting up data lakes, and ensuring data quality and performance for business intelligence and machine learning applications.

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

To thrive as a Databricks Engineer, you need strong expertise in big data processing, cloud platforms (like AWS or Azure), and proficiency with languages such as Python, SQL, and Scala, often supported by a degree in computer science or a related field. Familiarity with Apache Spark, Databricks Workspace, version control systems like Git, and relevant Databricks certifications are typically required. Strong analytical thinking, collaboration, and effective communication skills help you understand business needs and work seamlessly with data teams. These skills ensure efficient data pipeline development, scalable analytics solutions, and successful integration of Databricks into organizational workflows.
What are popular job titles related to Databricks Engineer jobs in Utah? For Databricks Engineer jobs in Utah, the most frequently searched job titles are:
What cities in Utah are hiring for Databricks Engineer jobs? Cities in Utah with the most Databricks Engineer job openings:
Sr. Test Automation Engineer

Sr. Test Automation Engineer

System One

Cottonwood Heights, UT • On-site

$43.50 - $57.25/hr

Contractor

Posted 21 days ago


Job description

Job Title: Senior Test Automation Engineer Duration : Contract to Hire Location : Salt Lake City/Midvale, UT Work Mode : 5 Days Onsite Years Of Exp : 7+ Yrs Job Description: We are seeking a Senior Test Automation Engineer to join our team! You will be supporting enterprise clients in the design, development, and modernization of digital platforms and AI-enabled product capabilities. In this role, you will collaborate with architects, software engineers, product leaders, and business stakeholders to solve complex technical challenges and deliver scalable, high-quality solutions that drive innovation, efficiency, and business value. This is an exciting opportunity for an experienced automation engineer who thrives in fast-paced Agile environments, enjoys working across the software development lifecycle, and is eager to contribute to modern cloud-native applications, AI-powered solutions, Kubernetes-based deployments, and microservices architectures. You will partner directly with client stakeholders, contribute to strategic transformation initiatives, and help deliver mission-critical solutions that support enterprise-scale operations. Duties and Responsibilities • Design, develop, and maintain scalable test automation frameworks for enterprise applications • Collaborate closely with Product Management, business stakeholders, and development teams to understand requirements and define testing strategies • Create and execute functional, end-to-end (E2E), integration, and regression test cases • Drive a shift-left testing approach by integrating automation early in the software development lifecycle • Research, evaluate, and recommend new testing tools, technologies, and automation solutions • Participate actively in Agile ceremonies, including sprint planning, daily stand-ups, backlog refinement, and retrospectives • Conduct code reviews, maintain automation documentation, and contribute to secure coding and testing best practices • Support continuous integration and continuous delivery (CI/CD) pipelines through automated quality validation • Stay current with emerging technologies, industry trends, and automation best practices to continuously improve testing capabilities Required Qualifications • 5+ years of experience in software test automation engineering • Experience testing banking or financial services applications, including API integrations and interfaces utilizing technologies such as Apigee and Databricks • Experience testing applications deployed on public cloud platforms, including AWS, Azure, or Google Cloud Platform (GCP) • Strong understanding of ETL processes, relational databases, SQL query development, and data analysis • Proven experience designing, implementing, and maintaining enterprise-grade test automation frameworks • Experience planning, estimating, executing, and reporting automation testing activities • Hands-on experience with API testing and automation using REST and SOAP services • Experience working with CI/CD tools and automated deployment pipelines • Strong understanding of Agile and/or Waterfall software delivery methodologies • Proficiency with automation and testing tools such as Selenium, Playwright, Postman, Java, and/or Python • Experience using development and collaboration tools including Git, Bamboo, Artifactory, Jira, and Confluence • Experience testing applications within containerized environments such as Docker • Knowledge of continuous integration, continuous delivery, and continuous testing practices Must Have Skills • Cucumber • JavaScript • Kubernetes • Postman • Python • Selenium

Ref: #404-IT Pittsburgh