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Manager Data Engineering Jobs in Utah (NOW HIRING)

Senior Manager Data Engineering

Riverton, UT · On-site +1

$125K - $150K/yr

Senior Manager, Data Engineering Location: Home Office Compensation: $125,000 - $150,000 Reports to: Director / VP, Technology & Data Who We Are On the Go (OTG) has elevated the dining and retail ...

Senior Manager Data Engineering

Riverton, UT · On-site +1

$125K - $150K/yr

Senior Manager, Data Engineering Location: Home Office Compensation: $125,000 - $150,000 Reports to: Director / VP, Technology & Data Who We Are On the Go (OTG) has elevated the dining and retail ...

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

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 Engineer

Salt Lake City, UT · On-site

$110K - $133K/yr

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

Paychex is reimagining how businesses manage their workforce by bringing payroll, HR, benefits, and ... Data Platform & Databricks Administration - Strong data engineering background with experience ...

New

Data Analytics Engineer

Ogden, UT

$112K - $134K/yr

This role bridges data engineering, analytics, and business intelligence by transforming complex ... managers, and subject matter experts * Successfully engage in multiple initiatives simultaneously

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Showing results 1-20

Manager Data Engineering information

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 job categories do people searching Manager Data Engineering jobs in Utah look for? The top searched job categories for Manager Data Engineering jobs in Utah 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 July 2026, with employment types broken down into 1% As Needed, 82% Full Time, 14% Part Time, and 3% Contract. Highlights an 87% Physical, 3% Hybrid, and 10% Remote job distribution.
Senior Manager Data Engineering

Senior Manager Data Engineering

otg

Riverton, UT • On-site, Remote

$125K - $150K/yr

Other

Posted 12 days ago


Job description

Job Title: Senior Manager, Data Engineering
Location: Home Office
Compensation: $125,000 – $150,000
Reports to: Director / VP, Technology & Data

Who We Are

On the Go (OTG) has elevated the dining and retail experience for travelers by bringing together world-class hospitality, award-winning dining concepts, and forward-thinking technology. With more than 300 unique dining and retail locations across North America’s busiest airports, we’re fueled by a passion for creating exceptional guest experiences—made possible every day by our incredible Crewmembers. At OTG, people truly come first. We invest in our teams and foster growth in an exciting, fast-paced environment where everyone can shine.

How We Do Business

How we work is just as meaningful as what we accomplish. Our values—Care, Continuous Improvement, Quality, and Teamwork—guide the way we show up for our guests and for each other. We are committed to fostering an inclusive, safe, and dynamic workplace where individuals feel empowered to contribute and grow.

Why This Job Is a Big Deal!

The Senior Manager, Data Engineering will play a critical role in revitalizing OTG’s data analytics platform and strategy, transforming how data is leveraged across operations, finance, and guest experience.

This role will serve as a hands-on leader responsible for building and modernizing OTG’s data platform, driving scalable data solutions, and enabling real-time insights that power business decisions across the organization. This individual will help define the future state of OTG’s data ecosystem, ensuring it supports growth, operational efficiency, and innovation.

In this Role you will…

Lead the design and execution of a modern data platform strategy, aligned with OTG’s business goals and growth trajectory

Drive the revitalization and modernization of data pipelines, data models, and data infrastructure

Build and optimize scalable ETL/ELT pipelines to support high-volume transactional data from POS, operations, and customer systems

Establish a roadmap for data architecture, data governance, and analytics enablement

Ensure data systems support real-time insights, operational reporting, and advanced analytics use cases

Partner with Engineering, Product, Finance, and Operations teams to translate business needs into data-driven solutions

Define and enforce data engineering standards, best practices, and governance frameworks across the organization

Lead the migration and modernization of legacy data systems into cloud-based platforms

Oversee data quality, data integrity, and system reliability across the enterprise

Manage and mentor a team of data engineers, driving performance, accountability, and growth

Provide hands-on technical leadership, including coding, troubleshooting, and architectural design as needed

Collaborate with external vendors and partners to support delivery and scalability initiatives

Required Qualifications

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

6–10+ years of experience in data engineering, data architecture, or related technical roles

2–4+ years of leadership experience, managing engineering teams or technical initiatives

Proven experience building and scaling modern data platforms in cloud environments (AWS, Azure, or GCP)

Strong background working in high-volume, data-intensive environments (hospitality, retail, QSR, or similar preferred)

Key Competencies

Data Platform Modernization & Transformation

Data Engineering & ETL/ELT Pipeline Development

Cloud Data Architecture (Snowflake, Databricks, Redshift, Synapse, etc.)

Real-Time Data & Streaming (Kafka or similar)

Data Governance & Data Quality Management

Cross-Functional Stakeholder Collaboration

Hands-On Technical Leadership

Team Leadership & Talent Development

Problem Solving & Continuous Improvement

Communication & Organizational Agility

Equal Opportunity Employer

We’re proud to be an equal opportunity employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, veteran status, or disability status.

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