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Databricks Engineer Jobs in Utah (NOW HIRING)

Senior Data Engineer

Draper, UT · On-site

$126.50K - $176K/yr

Our Data Engineering practice is growing! JourneyTeam is looking for a hungry, humble, and smart ... Azure Databricks experience. * Relevant industry certifications, especially Microsoft. Here at ...

Senior Data Engineer

Draper, UT · On-site

$99.10K - $134.60K/yr

Our Data Engineering practice is growing! JourneyTeam is looking for a hungry, humble, and smart ... Azure Databricks experience. * Relevant industry certifications, especially Microsoft. Here at ...

Senior Data Engineer

Draper, UT · On-site +1

$126.50K - $176K/yr

Our Data Engineering practice is growing! JourneyTeam is looking for a hungry, humble, and smart ... Azure Databricks experience. * Relevant industry certifications, especially Microsoft. Here at ...

Data Engineer

Salt Lake City, UT · On-site

$99.60K - $156.50K/yr

Bachelor's Degree in Computer Science, Data Science, Engineering or equivalent software/services experience - Required * 4 years of experience in Working with SQL, Snowflake, Databricks, Spark and/or ...

Data Engineer

Salt Lake City, UT · On-site

$99.60K - $156.50K/yr

Bachelor's Degree in Computer Science, Data Science, Engineering or equivalent software/services experience - Required * 4 years of experience in Working with SQL, Snowflake, Databricks, Spark and/or ...

Senior Data/AI Engineer

Salt Lake City, UT · Remote

$102.60K - $139.40K/yr

Operate fluently across Databricks and major cloud platforms (Azure, GCP). * Leverage modern AI ... Experience: 8+ years in Data Engineering, Software Engineering, or Analytics, with a proven track ...

... dbt, Databricks or equivalents) * Cloud monitoring and orchestration tools (e.g., Azure Monitor ... Programming languages such as Python, Scala, Java, or similar * CI/CD pipelines and DevOps ...

Sr. Data Engineer

Salt Lake City, UT · On-site

$110.80K - $133.10K/yr

... dbt, Databricks or equivalents) * Cloud monitoring and orchestration tools (e.g., Azure Monitor ... Programming languages such as Python, Scala, Java, or similar * CI/CD pipelines and DevOps ...

Currently, We are looking for entry-level software programmers, Java Full stack developers, Python ... Databricks, Python, Computer Vision, data visualization tools • Excellent written and verbal ...

Senior Data Engineer

Provo, UT · On-site

$100.50K - $136.60K/yr

Strong hands-on experience with Databricks in a production environment, including cluster ... Data engineering practices: Proven experience with dbt or equivalent for transformations-as-code ...

Senior Data Engineer

Provo, UT · On-site

$100.50K - $136.60K/yr

Strong hands-on experience with Databricks in a production environment, including cluster ... Data engineering practices: Proven experience with dbt or equivalent for transformations-as-code ...

Senior Data Engineer

Provo, UT

$100.30K - $136.20K/yr

Strong hands-on experience with Databricks in a production environment, including cluster ... Data engineering practices: Proven experience with dbt or equivalent for transformations-as-code ...

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Showing results 1-20

Databricks Engineer information

See Utah salary details

$54.2K

$101.6K

$184.8K

How much do databricks engineer jobs pay per year?

As of Jun 2, 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 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 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.

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.

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, and data engineering may earn higher compensation. Salaries can also vary based on industry demand and certifications.
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 job categories do people searching Databricks Engineer jobs in Utah look for? The top searched job categories for Databricks Engineer jobs in Utah are:
What cities in Utah are hiring for Databricks Engineer jobs? Cities in Utah with the most Databricks Engineer job openings:
Infographic showing various Databricks Engineer job openings in Utah as of May 2026, with employment types broken down into 100% Contract. Highlights an 46% In-person, and 54% Remote job distribution, with an average salary of $101,626 per year, or $48.9 per hour.
Senior Data Engineer

Senior Data Engineer

JOURNEYTEAM

Draper, UT • On-site

$126.50K - $176K/yr

Full-time

Medical, Dental, Retirement

Posted 17 days ago


Job description

Our Data Engineering practice is growing! JourneyTeam is looking for a hungry, humble, and smart Senior Data Engineer Consultant to join our world-class team and continue building out our best-in-class solutions. If you are ready for growth, love designing and building Microsoft data solutions and have a passion for helping people and businesses, we would love to hear from you!

About JourneyTeam

JourneyTeam helps companies implement business solutions and improvements through Microsoft technologies. JourneyTeam is an award-winning Microsoft Partner specializing in all three Microsoft Clouds: Modern Workplace, Microsoft Azure, and Microsoft Business Applications, including Microsoft Dynamics 365, Power Platform and Data+A/I.

What truly sets us apart is how we show up every day—for our customers and for each other. We believe that great outcomes come from great people who are aligned in how they work, collaborate, and take ownership. We succeed by consistently demonstrating our core values:

  • A Caring Mindset
  • Exceptional Performance
  • Being OneTeam
  • Making & Keeping Commitments
  • Taking Ownership
  • Effective Communication
  • A Growth Mindset

The Opportunity

The Senior Data Engineer Consultant plays a pivotal role in driving technical excellence and business value for our clients. Critical aspects of this role entail the ability to discover business requirements and work alongside our clients as you architect and implement modern data engineering solutions within the Microsoft ecosystem. You will also mentor others and lead the solution design and build process as you meet client expectations and project scope.

Key Responsibilities

  • Help set vision, strategy and roadmap for JourneyTeam data engineering. Incorporate both Microsoft and industry best practices.
  • Architect and implement enterprise data strategies that align with client objectives including analytics, migrations and data integrations.
  • Collaborate with cross-functional teams, including business intelligence developers, Azure cloud administrators, business analysts, and others, to develop comprehensive data solutions.
  • Develop “best-in-class” data engineering solutions that provide data quality, reliability, automation, notification, scalability, modularity, security.
  • Design, develop, and optimize complex dimensional models for reporting (star schemas).
  • Lead out on design sessions with client teams, conduct workshops and training both internally and externally, including webinars.
  • Lead and mentor data engineers, provide technical guidance, share best practices, and foster a culture of continuous learning and growth.
  • Go-to resource for understanding client problems and responding with appropriate methods anchored around best practice, repeatable patterns, and “crush-it” mentality.
  • Diagramming and documentation champion.
  • Excellent leadership, communication, and project management skills.

Qualifications:

  • Proven track record with at least 7+ years hands-on experience in data engineering, preferably within the Microsoft ecosystem.
  • 3+ years’ experience working with Azure technologies, such as Data Factory, ADLS, Azure Databricks, Spark, Synapse Analytics, Azure SQL Database, Fabric.
  • Demonstrate strong alignment with JourneyTeam values.
  • Advanced SQL skills. Solid understanding of relational databases, transform logic and dimensional modeling techniques. Ability to write complex SQL.
  • Architectural design and experience building data orchestration and pipelines using metadata driven techniques.
  • Experience with connecting to and ingesting from API sources, including using OAuth 2. Additionally, experience with standardizing and/or flattening and/or normalizing JSON to a flavor of SQL structure.
  • In-depth understanding and practical application of modern data and security architecture principles, combining the best of data lakes and data warehouses for robust and scalable data management.
  • Successful management of data engineering projects, including planning, execution, and delivery.
  • Demonstrated ability to take ownership and responsibility of critical issues and provide resolution. Strong problem-solving and decision-making abilities as well as excellent collaboration skills.
  • Ability to create great rapport with client teams and exercise a knack for driving the adoption of data strategies that move the needle in improving business outcomes.
  • The ideal team member is an analytical problem solver with extensive technical expertise, a deep understanding of data engineering concepts, and a passion for modern data lakehouse technologies.

Nice To Have (Not Required)

  • Bachelor’s or master’s degree in computer science, informatics, data science or related technical discipline.
  • Experience dealing with high-volume and high-velocity data streams and designing systems that can handle the demands of real-time or near-real-time analytics.
  • Azure Databricks experience.
  • Relevant industry certifications, especially Microsoft.

Here at JourneyTeam, we care about our employee’s growth. Here is what success looks like your first year:

30 Days:

  • Read and review “The Data Warehouse Toolkit” by Ralph Kimball
  • Participate and contribute to group training plan
  • Shadow other data engineers to learn the implementation process and tasks required throughout our projects.
  • Be assigned to a project and support tasks.

90 Days:

  • Independently own, architect and implement customer solutions.
  • Build data standards and templates and train team on value and adoption.

6 months:

  • Fully involved in project and support efforts and be a contributing member of project teams and long-term client support
  • Achieve a Microsoft certification
  • Achieve a 75% customer engagement rate by the beginning of six-month period.
Compensation:

The base salary range for this role is $126,500 – $176,000 + performance-based bonus program. Eligibility and payout are tied to individual contributions, team performance, and company success.

This is the established pay range for the Senior Data Engineer roles at JourneyTeam on the Data & AI Solutions Practice.

Benefits:

JourneyTeam offers a wide range of excellent benefits, including comprehensive healthcare and dental coverage, as well as a 401(k) with an approximate 4% employer match—with immediate vesting. We offer flexible time off, with employees averaging 3.75 weeks per year, and provide paid maternity and paternity leave.

Additional perks include a monthly phone stipend (or the option to join our corporate phone plan) and a monthly gym membership reimbursement of up to $200.

JourneyTeam is an Equal Opportunity Employer. This position is not open to C2C, H1B sponsorships, or third-party agencies.