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Manager Data Engineering Jobs in Utah (NOW HIRING)

Role Overview As an Senior Product Manager - Data at Chargezoom, you will work closely with the VP ... The ideal candidate has experience and skills to understand data engineering, architecture, and ...

Role Overview As an Senior Product Manager - Data at Chargezoom, you will work closely with the VP ... The ideal candidate has experience and skills to understand data engineering, architecture, and ...

Industry/Sector Not Applicable Specialism Data, Analytics & AI Management Level Manager & Summary ... In data engineering at PwC, you will focus on designing and building data infrastructure and ...

Management Information Systems, Computer and Information Science, Systems Engineering, Electrical ... Developing data architecture and optimization strategies using Snowflake and Databricks ...

Data Engineer

Salt Lake City, UT · On-site +1

$105K - $126K/yr

... teams in engineering, design, project management, field service, plant operations, professional ... Summary As a Data Engineer with WesTech, you will design, develop, and optimize scalable data ...

New

Data Engineer

Salt Lake City, UT · On-site

$105K - $126K/yr

... teams in engineering, design, project management, field service, plant operations, professional ... Summary As a Data Engineer with WesTech, you will design, develop, and optimize scalable data ...

Data Engineer

Draper, UT

$100K - $114K/yr

Bachelor's degree in Computer Science, Software Engineering, or a related technical field * 2+ ... We specialize in temporary and permanent placement of Software, Hardware, Network, Cloud, CRM/ERP, ...

In data engineering at PwC, you will focus on designing and building data infrastructure and ... As a Senior Manager you lead large projects, innovate processes, and maintain operational ...

Data Engineers

Salt Lake City, UT · On-site

$99K - $124K/yr

... engineering. • Working knowledge of database management, data integration patterns, and ETL/ELT ... frameworks Comfortable working with relational, cloud, and distributed data platforms. • Strong ...

Data Engineers

Salt Lake City, UT · On-site +1

$110K - $133K/yr

... engineering. Working knowledge of database management, data integration patterns, and ETL/ELT ... frameworks Comfortable working with relational, cloud, and distributed data platforms. Strong ...

Senior Data Engineer

Draper, UT · On-site +1

$126K - $176K/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.

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Showing results 1-20

Manager Data Engineering information

See Utah salary details

$28.2K

$88.4K

$156.6K

How much do manager data engineering jobs pay per year?

As of Jun 20, 2026, the average yearly pay for manager data engineering in Utah is $88,438.00, according to ZipRecruiter salary data. Most workers in this role earn between $60,100.00 and $114,300.00 per year, depending on experience, location, and employer.

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 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.

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.

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 the most commonly searched types of Data Engineering jobs in Utah? The most popular types of Data Engineering jobs in Utah are:
What are popular job titles related to Manager Data Engineering jobs in Utah? For Manager Data Engineering jobs in Utah, the most frequently searched job titles are:
What cities in Utah are hiring for Manager Data Engineering jobs? Cities in Utah with the most Manager Data Engineering job openings:
Infographic showing various Manager Data Engineering job openings in Utah as of June 2026, with employment types broken down into 92% Full Time, 6% Part Time, and 2% Contract. Highlights an 92% Physical, 2% Hybrid, and 6% Remote job distribution, with an average salary of $88,438 per year, or $42.5 per hour.
Senior Manager, Data Engineering

Senior Manager, Data Engineering

Owens & Minor

Salt Lake City, UT • On-site, Remote

$140K - $155K/yr

Full-time

Medical, Dental, Vision, Life, PTO

Posted 17 days ago


Owens & Minor rating

6.5

Company rating: 6.5 out of 10

Based on 54 frontline employees who took The Breakroom Quiz

268th of 341 rated logistics


Job description

Owens & Minoris a global healthcare solutions company providing essential products, services and technology solutions that support care delivery in leading hospitals, healthsystemsand research centers around the world. For over140years, Owens & Minor has delivered comfort and confidence behind thescenes,so healthcare stays at the forefront, helping to make each day better for thehospitals,healthcare partners, and communities we serve. Powered by more than 14,000 teammates worldwide, Owens & Minor exists because every day, everywhere,Life Takes Care.

Global Reach with a Local Touch

  • 140+ years serving healthcare

  • Over 14,000 teammates worldwide

  • Serving healthcare partners in 80 countries

  • Manufacturing facilities in the U.S., Honduras, Mexico, Thailand and Ireland

  • 40+ distribution centers

  • Portfolio of 300 propriety and branded product offerings

  • 1,000 branded medical product suppliers

  • 4,000 healthcare partners served

Benefits

  • Comprehensive Healthcare Plan-Medical, dental, and vision plans start on day one of employment for full-time teammates.

  • Educational Assistance-We offer educationalassistanceto all eligible teammates enrolled in an approved, accredited collegiate program.

  • Employer-Paid Life Insurance and Disability-We offer employer-paid life insurance and disabilitycoverage.

  • Voluntary Supplemental Programs- We offer additional options to secure your financial future including supplemental life, hospitalization, critical illness, and other insurance programs.

  • Support for your Growing Family- Adoption assistance, fertility benefits (in medical plan) and parental leave are available for teammates planning for a family.

  • Health Savings Account (HSA)and401(k)-We offer these voluntary financial programs to help teammates prepare for their future, as well as other voluntary benefits.

  • Paid Leave-In addition to sick days and short-term leave, we offer holidays, vacation days, personal days, andadditionaltypes of leave - including parental leave.

  • Well-Being- Also included in our offering is a Teammate Assistance Program (TAP), Calm Health, Cancer Resources Services, and discount programs - all at no cost to you.

  • The anticipated salary range for this position is $140,000-$155,000 USD Annual. The actual compensation offered may vary based on job related factors such as experience, skills, education and location.

The position is accountable for ownership of key data technologies including Snowflake, Power BI, Informatica, and related integration platforms, ensuring scalable, reliable, and cost-effective data solutions across the enterprise. The role is fully remote. Applicants in different states are encouraged to apply.

Key Responsibilities

Leadership & Team Management

- Lead, mentor, and develop a team of data engineers and BI developers

-Establishdelivery standards, performance expectations, and career development plans

-Promote a culture of accountability, innovation, and continuous improvement

-Foster a high-performing engineering culture focused on accountability, delivery excellence, innovation, operational maturity, and continuous improvement

Data Platform Ownership

- Own and manage enterprise data platforms including Snowflake, Informatica, and Power BI

- Ensure platform performance, scalability, reliability, and security

- Drive standardization of data engineering practices, architecture, and delivery frameworks

-Drive modernization of enterprise data architecture, integration patterns, and cloud data capabilities

- Establish scalable DataOps and platform governance practices to improve reliability, observability, and delivery efficiency

Portfolio & Delivery Management

- Manage a large portfolio of data and analytics demand across business functions

- Prioritize initiatives and ensure alignment with strategic objectives

- Design and implement repeatable, scalable solutions to improve speed and consistency of delivery

Roadmap & Financial Management

- Develop andmaintainmulti-year technology roadmaps for data and analytics platforms

- Lead annual budget planning, forecasting, and ongoingfinancial management

-Optimizeplatform costs whilemaintainingservice quality and delivery timelines

Solution Design & Optimization

- Evaluate solution viability including technical feasibility, cost, and long-term sustainability

- Continuously improve platforms to increase delivery velocity and operational efficiency

- Drive modernization initiatives to enhance data architecture and integration capabilities

AI & Self-Service Enablement

- Expand AI-enabled services and capabilities within the data platform ecosystem

- Enhance business self-service analytics through governed datasets and reporting frameworks

- Increase adoption of scalable, reusable data products across the organization

Stakeholder Collaboration

- Build strong partnerships across IT (Infrastructure, Applications, Security) and business units

- Translate business requirements into technical solutions aligned with enterprise standards

- Ensure transparent communication of priorities, progress, risks, and outcomes

Qualifications

Required

-Bachelor's degree in Computer Science, Information Systems, or related field (or equivalent experience)

- 8+ years of experience in data engineering, analytics, or business intelligence

- 3+ years of experience leading technical teams

- Strongexpertisewith modern data platforms (e.g., Snowflake, ETL/ELT tools, Power BI)

- Experience managing multiple concurrent projects and prioritizing competing demands

-Demonstratedexperience developing roadmaps and managing budgets

-Strong communicationand stakeholder management skills

Preferred

- Experience with enterprise data platform modernization and cloud data architectures

- Familiarity with data governance, data quality, and metadata management practices

- Experience implementing self-service analytics frameworks at scale

- Exposure to AI/ML or intelligent automation within data platforms

If you feel this opportunity could be the next step in your career, we encourage you to apply. This position will accept applications on an ongoing basis.

Owens & Minor is an Equal Opportunity Employer. All qualified applicants will receive consideration for employment without regard to race, color, national origin, sex, sexual orientation, genetic information, religion, disability, age, status as a veteran, or any other status prohibited by applicable national, federal, state or local law.


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