1

Manager Data Engineering Jobs in Sandy, UT (NOW HIRING)

Successful management of data engineering projects, including planning, execution, and delivery. * Demonstrated ability to take ownership and responsibility of critical issues and provide resolution.

Senior Data Engineer

Draper, UT · On-site

$99.10K - $134.60K/yr

Successful management of data engineering projects, including planning, execution, and delivery. * Demonstrated ability to take ownership and responsibility of critical issues and provide resolution.

Data Engineer III

Salt Lake City, UT · On-site +1

$110.80K - $133.10K/yr

... primary focus is pipeline engineering. · Working knowledge of database management, data ... integration patterns, and ETL / ELT frameworks Comfortable working with relational, cloud, and ...

Data Strategy-Manager

Salt Lake City, UT · On-site

$99K - $232K/yr

... Data Engineer / Azure Solutions Architect - Google Professional Data Engineer - DAMA CDMP (Certified Data Management Professional) - Informatica Certified Professional - Alation Certified Data ...

Data Engineer

Salt Lake City, UT · On-site

$110.80K - $133.10K/yr

Bachelor's degree in computer science, data engineering, information systems, or equivalent technical degree. * 3+ years of data engineering experience, specifically in managing a data warehouse.

Senior Data Engineer

Provo, UT · On-site

$100.30K - $136.20K/yr

Experience managing cloud or data platform infrastructure programmatically. * ML workflow support: Experience structuring feature engineering pipelines or supporting data science teams with training ...

Principal Data & AI Engineer

Lehi, UT

$107.50K - $129.10K/yr

Capable of evolving data engineering solutions into intelligent, agent-based offerings. Strong capacity to manage numerous projects are a must Experience using Docker or Kubernetes is a plus BS/MS ...

Data Engineer IV - AI & Data Products

Draper, UT · On-site

$107K - $128.50K/yr

Manage business glossary in collaboration with business teams and build/maintain technical metadata ... Collaborate with business leaders, Executives, Data Scientists, BI Analytics, Product, Engineering ...

Senior Data Engineer

Salt Lake City, UT · On-site

$117.30K - $158.70K/yr

... engineering solutions by ingesting, transforming, and warehousing healthcare-related data from various sources. You will collaborate with Tendo's Data Scientists, Product Managers, and Machine ...

Data Engineer

Salt Lake City, UT · On-site

$110.80K - $133.10K/yr

Bachelor's degree in computer science, data engineering, information systems, or equivalent technical degree. * 3+ years of data engineering experience, specifically in managing a data warehouse.

Data Engineer

Salt Lake City, UT · On-site

$105.20K - $126.30K/yr

Bachelor's degree in computer science, data engineering, information systems, or equivalent technical degree. * 3+ years of data engineering experience, specifically in managing a data warehouse.

Data Engineer

Lehi, UT · On-site +1

$107.50K - $129.10K/yr

This engineering resource will be the cornerstone of our data infrastructure, responsible for ... , executive team, managers, and individual contributors with the robust and trustworthy ...

Data Engineer

Lehi, UT · On-site +1

$107.50K - $129.10K/yr

This engineering resource will be the cornerstone of our data infrastructure, responsible for ... , executive team, managers, and individual contributors with the robust and trustworthy ...

... of managing a large-scale production data platform and developing a data-driven operations culture within the data engineering team. * Evaluate new technologies and solutions for inclusion into the ...

New

Data Engineer

Lehi, UT · On-site +1

$107.50K - $129.10K/yr

This engineering resource will be the cornerstone of our data infrastructure, responsible for ... , executive team, managers, and individual contributors with the robust and trustworthy ...

Data Engineer

Lehi, UT · On-site

$107.50K - $129.10K/yr

This engineering resource will be the cornerstone of our data infrastructure, responsible for ... , executive team, managers, and individual contributors with the robust and trustworthy ...

next page

Showing results 1-20

Manager Data Engineering information

See Sandy, UT salary details

$29.5K

$92.3K

$163.4K

How much do manager data engineering jobs pay per year?

As of May 28, 2026, the average yearly pay for manager data engineering in Sandy, UT is $92,313.00, according to ZipRecruiter salary data. Most workers in this role earn between $62,700.00 and $119,300.00 per year, depending on experience, location, and employer.

What are the key skills and qualifications needed to thrive as a Manager Data Engineering, and why are they important?

To thrive as a Manager Data Engineering, you need expertise in data architecture, advanced analytics, and leadership, typically supported by a degree in computer science or a related field. Familiarity with big data tools (like Hadoop, Spark), data warehousing systems, cloud platforms (AWS, Azure), and certifications such as AWS Certified Data Analytics are highly valued. Strong communication, problem-solving, and team management skills help drive project success and foster collaboration. These skills ensure effective data solutions, alignment with business goals, and the ability to lead and grow high-performing engineering teams.

How does a Manager of Data Engineering typically collaborate with data scientists and business stakeholders?

A Manager of Data Engineering often serves as a bridge between technical teams and business stakeholders. They work closely with data scientists to ensure that data pipelines and infrastructure meet analytical needs, while also translating business requirements into actionable engineering solutions. Regular coordination meetings, clear documentation, and cross-functional projects are common, enabling seamless collaboration and alignment on goals. This role requires strong communication skills and the ability to balance technical priorities with business objectives.

What are Manager Data Engineering roles and responsibilities?

A Manager Data Engineering oversees teams that design, build, and maintain data infrastructure and pipelines for organizations. They are responsible for ensuring the efficient flow and storage of data, implementing best practices in data management, and collaborating with stakeholders to meet business data needs. Additionally, they mentor and guide data engineers, manage project timelines, and ensure data security and quality standards are met. Their role often involves strategic planning to enable data-driven decision making across the company.

What is the difference between Manager Data Engineering vs Data Engineer?

AspectManager Data EngineeringData Engineer
Required CredentialsBachelor's or Master's in CS, Data Science, or related; often leadership experienceBachelor's or higher in CS, IT, or related; technical certifications optional
Work EnvironmentTeam leadership, project management, strategic planningData pipeline development, coding, data modeling
Employer & Industry UsageTech companies, finance, healthcare, where data teams are commonData-focused roles across various industries

The main difference is that Manager Data Engineering oversees data teams and projects, focusing on strategy and leadership, while Data Engineers handle the technical implementation of data pipelines and infrastructure. Managers typically have more experience and leadership skills, whereas Data Engineers are more hands-on with coding and data architecture.

What are popular job titles related to Manager Data Engineering jobs in Sandy, UT? For Manager Data Engineering jobs in Sandy, UT, the most frequently searched job titles are:
What job categories do people searching Manager Data Engineering jobs in Sandy, UT look for? The top searched job categories for Manager Data Engineering jobs in Sandy, UT are:
What cities near Sandy, UT are hiring for Manager Data Engineering jobs? Cities near Sandy, UT with the most Manager Data Engineering job openings:
Senior Data Engineer

$126.50K - $176K/yr

Full-time

Medical, Dental, Retirement

Posted 12 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.