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Remote Databricks Data Engineer Jobs in Tooele, UT

JourneyTEAM

Senior Data Engineer

Draper, UT · On-site +1

$126K - $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. Pathway to ...

University of Utah

Data Engineers

Salt Lake City, UT · On-site +1

$110K - $133K/yr

... remote work schedule for candidates who reside in the state of Utah. While most duties can be ... As a Data Engineer, your responsibilities will include: 1. Design, develop, and maintain database ...

Deloitte

Databricks Manager

Salt Lake City, UT · On-site +1

... engineering teams and modernizing technology & data platforms. Our delivery models are tailored to ... remote client service delivery. Recruiting for this role ends on 06/30/2026. Work you'll do As a ...

1-800 Contacts

Technical Product Manager

Draper, UT · On-site +1

$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 ...

Wsgr

Principal Solutions Engineer

Salt Lake City, UT · On-site +1

The ideal candidate will have a strong background in solution design, data management, and ... This position is available as a hybrid or fully remote work schedule. Responsibilities: Solution ...

Humana

Lead Data Scientist

North Salt Lake, UT · On-site +1

Join our rapidly expanding team of dedicated data scientists, engineers, policy experts, and ... per week remote/home. Office Location Options: * Louisville, KY * Boston, MA * New York, NY

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

As of Jun 18, 2026, the average yearly pay for remote databricks data engineer in Tooele, UT is $121,784.00, according to ZipRecruiter salary data. Most workers in this role earn between $107,500.00 and $129,100.00 per year, depending on experience, location, and employer.

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

To thrive as a Remote Databricks Data Engineer, you need a solid background in data engineering, strong programming skills in Python or Scala, and experience with big data frameworks, often supported by a degree in computer science or a related field. Proficiency with Databricks, Apache Spark, cloud platforms (such as AWS or Azure), and relevant certifications like Databricks Certified Data Engineer are highly valuable. Strong problem-solving abilities, effective remote communication, and collaboration skills set top performers apart in distributed teams. These skills and qualities ensure efficient data pipeline development, seamless integration, and successful project delivery in remote environments.

What is a Remote Databricks Data Engineer?

A Remote Databricks Data Engineer is a professional who designs, develops, and manages large-scale data processing systems using the Databricks platform, often working from a remote location. They focus on building data pipelines, integrating data sources, and optimizing workflows for analytics and machine learning, leveraging tools like Apache Spark within Databricks. These engineers collaborate with data scientists, analysts, and other stakeholders to ensure data is accessible, reliable, and scalable for business needs. Remote roles offer flexibility in work location while still requiring strong communication and technical skills.

What are some common challenges faced by remote Databricks Data Engineers and how can they be addressed?

Remote Databricks Data Engineers often encounter challenges such as coordinating efficiently with distributed teams, managing access to secure data environments, and ensuring smooth pipeline deployments across different cloud platforms. To overcome these, it's important to leverage communication tools for regular check-ins, follow strict data governance protocols, and utilize collaborative features in Databricks such as shared notebooks and version control. Proactively documenting your work and staying updated with platform updates can also help streamline remote collaboration and problem-solving.
What are popular job titles related to Remote Databricks Data Engineer jobs in Tooele, UT? For Remote Databricks Data Engineer jobs in Tooele, UT, the most frequently searched job titles are:
What cities near Tooele, UT are hiring for Remote Databricks Data Engineer jobs? Cities near Tooele, UT with the most Remote Databricks Data Engineer job openings:
Remote Databricks Data Engineer jobs near you
Senior Data Engineer

Senior Data Engineer

JourneyTEAM

Draper, UT • On-site, Remote

$126K - $176K/yr

Full-time

Medical, Dental, Retirement

Posted 4 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.

Pathway to Success
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 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.
JOB CODE: 1000100

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