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

Chargezoom

Senior Product Manager - Data

Salt Lake City, UT · Hybrid

$100K - $140K/yr

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 ...

Chargezoom

Senior Product Manager - Data

Salt Lake City, UT · On-site

$100K - $140K/yr

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 ...

Pwc

Data Engineer - Senior Manager

Salt Lake City, UT · On-site

$124K - $280K/yr

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 ...

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All JobsData Engineering JobsManager Data Engineering JobsManager Data Engineering Jobs in Farmington, UT

Manager Data Engineering information

See Farmington, UT salary details

$29.4K

$92.1K

$163.1K

How much do manager data engineering jobs pay per year?

As of Sep 9, 2026, the average yearly pay for manager data engineering in Farmington, UT is $92,144.00, according to ZipRecruiter salary data. Most workers in this role earn between $62,600.00 and $119,000.00 per year, depending on experience, location, and employer.

What are the roles and responsibilities of a manager data engineering?

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 are the key skills and qualifications needed to thrive as a manager data engineering?

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 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 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 Farmington, UT?

For Manager Data Engineering jobs in Farmington, UT, the most frequently searched job titles are:

What cities near Farmington, UT are hiring for Manager Data Engineering jobs?

Cities near Farmington, UT with the most Manager Data Engineering job openings:

Manager Data Engineering jobs near you
Infographic showing various Manager Data Engineering job openings in Farmington, UT as of June 2026, with employment types broken down into 80% Full Time, 18% Part Time, and 2% Contract. Highlights an 88% Physical, 3% Hybrid, and 9% Remote job distribution, with an average salary of $92,144 per year, or $44.3 per hour.

Senior Product Manager - Data

Salt Lake City, UT • Hybrid

Chargezoom
Software Development • 11 - 50 employees
Learn more about Chargezoomexternal

$100K - $140K/yr

Full-time

Medical, Dental

Re-posted 25 days ago

Job description

Chargezoom is Salt Lake City's fastest growing Fintech startup, we are looking for a dynamic ambitious Product Manager of Data who understands true product ownership from both a financial and personal perspective.  

Role Overview
As an Senior Product Manager - Data at Chargezoom, you will work closely with the VP of Product to support the development and execution of our data product strategy. This role is designed for a driven individual eager to take ownership and responsibility of a product in a fast-paced, innovative environment.  The ideal candidate has experience and skills to understand data engineering, architecture, and modeling.
Key Responsibilities
- Own our strategic fintech data product, be the leader and champion for it, with the opportunity for expansion.
- Be the SME for data modeling, defining the data schematic, building data pipeline with ETL and data enrichment.
- Product owner for all of reporting, visualizations, insights, and eventually integration with ML/AI
- Own and drive the initiative to refactor current data schema into a world-class example of a proper data model and star schema
- Collaborate with cross-functional teams, including engineering, design, and marketing, to ensure successful product delivery.
- Own the creation and maintenance of all product collateral:  product documentation, including user stories, requirements, and roadmaps.
- Monitor product performance and user feedback to identify opportunities for improvement.
- Support the VP of Product in strategic planning and execution of product initiatives.
Qualifications
- 3-7 years of experience in product management at a SaaS startup.
- Must thrive in environment of urgency in a high performance delivery focused org.
- Strong analytical and problem-solving skills, preferred background in data engineering
- Experience defining data models and schematics
- Excellent communication and teamwork abilities.
- Familiarity with Agile development methodologies and Jira.
- Passion for fintech and a desire to learn and grow within the industry.
- We work in our new offices in Cottonwood Heights area, 5 days a week.

Salary & Benefits
- $100k-$140k/yr
- Employee Stock Option Plan
- Paid health, and dental, insurance.
- Opportunities for professional development and career growth.
Employment Type: FULL_TIME

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