1

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

Data Strategy-Manager

Salt Lake City, UT · On-site

$99K - $232K/yr

  • Medical

  • Dental

  • Vision

  • Retirement

  • PTO

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

Manager, Data Science & Modeling

South Jordan, UT · On-site

  • Medical

  • Dental

  • Vision

  • Life

  • Retirement

  • PTO

Data Science is a technical discipline requiring strong skills in software engineering, statistics ... Perform other duties as assigned by senior management. * Maintain ethical standards, judgment, and ...

Data Engineer

Salt Lake City, UT · On-site

$105K - $126K/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

$105K - $126K/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 - Senior Associate

Salt Lake City, UT · On-site

$77K - $202K/yr

  • Medical

  • Dental

  • Vision

  • Retirement

  • PTO

Industry/Sector Not Applicable Specialism Data, Analytics & AI Management Level Senior Associate & Summary At PwC, our people in data and analytics engineering focus on leveraging advanced ...

Senior DataBI Analyst

Salt Lake City, UT · On-site

$83K - $105K/yr

Required : • 3-5 years of experience in a data analytics, data engineering, or BI analyst role. • Proven ability to build and manage data pipelines independently, from ingestion to reporting. • ...

Senior Manager, Data Center Operations

West Jordan, UT · On-site

  • Medical

  • Dental

  • Vision

  • Life

  • Retirement

  • PTO

... engineering teams to manage timelines, capacity, and ensure adherence to world-class standards ... Data Center Expansion Support: -Oversees the management of new region builds and expansion ...

Showing results 21-40

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 Aug 13, 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 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?

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 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.

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 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:
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 Software Engineer- Big Data & MCP, Data Foundations

RevSpring

Salt Lake City, UT • On-site

$110K - $133K/yr

Full-time

Re-posted 14 days ago


Job description

Job Summary:
RevSpring is a company focused on providing innovative data solutions, and they are seeking a Senior Software Engineer specializing in Big Data and data foundations. The role involves designing and optimizing data pipelines, developing backend services, and ensuring data performance and quality in a healthcare context.
Responsibilities:
• Collaborate and Innovate: Partner with product managers, data engineers, and business leaders to translate complex product and data requirements into scalable, reliable data pipelines and the search experiences they power.
• Architect Data Pipelines: Design, build, and optimize large-scale distributed batch and streaming pipelines (using Apache Airflow, Apache Beam/Dataflow, and DBTon BigQuery) to ingest, model, and transform high-volume healthcare data into clean, well-tested, query-ready datasets and search indices.
• Build Data Models & Backend Services: Develop resilient Python services and DBT models that power data delivery and self-service analytics, including Model Context Protocol (MCP) servers that expose curated data and tooling to downstream and AI consumers, and integrate with external REST/SOAP APIs and third-party data sources.
• Optimize Data & Search Performance: Deeply tune pipeline throughput, data warehouse performance, and search indexing — optimizing BigQuery cost and query performance and Elasticsearch index design to ensure data freshness, relevance, and scalability across high-volume datasets.
• Drive Engineering Excellence: Write clean, maintainable, well-tested code and lead by example through rigorous code reviews, architectural and data-modeling design discussions, and mentoring, driving a culture of high-quality software and trustworthy data.
• Pioneer New Technologies: Stay at the forefront of modern data engineering, the analytics-engineering ecosystem (e.g., DBT, BigQuery), and information retrieval, proactively applying these advancements to strengthen our data platform and the products it powers.
Qualifications:
Required:
• Proven experience designing and orchestrating large-scale ETL/ELT pipelines using Apache Beam/Google Cloud Dataflow (or similar), and DBT, built on modern cloud data warehouses.
• 4+ years of experience working with relational databases and analytical data warehouses, with deep, advanced SQL skills and solid data-modeling fundamentals (e.g., dimensional and normalized modeling).
• Working experience with search indexing and Elasticsearch, including index management, mappings, and building and maintaining search indices from pipeline output.
• Experience building scalable Python services and high-performance data APIs, including developing Model Context Protocol (MCP) servers that expose data and tooling to downstream and AI consumers.
• Strong understanding of containerization (Docker), CI/CD methodologies (e.g., GitHub Actions), Git, Infrastructure as Code (e.g., Terraform/Pulumi), and managing services within cloud platforms.
• Familiarity with healthcare data standards (e.g., NPPES/NPI registries, NUCC Provider Taxonomy, machine-readable files (MRFs) for cost transparency, and FHIR).
• Experience with data quality and pipeline testing frameworks (e.g., dbt tests, Great Expectations) and streaming/event ingestion (e.g., Pub/Sub, Kafka).
• Experience integrating graph-based data and healthcare taxonomy ontologies to enrich datasets and search query context.
• Experience with observability and logging platforms (e.g., DataDog) for monitoring pipeline health and data freshness.
• Bachelor’s Degree
• 5+ years of professional experience with Python, with strong software-engineering fundamentals (testing, code review, design).
• 3+ years experience with Java or another JVM language is also high desired, particularly for Beam/Dataflow.
• Ability to read, analyze and interpret general business periodicals, professional journals, technical procedures or governmental regulations.
• Ability to write reports, business correspondence and procedure manuals.
• Ability to effectively present information and respond to questions from a variety of both internal and external sources.
Preferred:
• BigQuery experience is a plus.
• Familiarity with hybrid (BM25 + semantic/vector) search is a plus.
• 3+ years of GCP experience preferred.
Company:
RevSpring is a provider of revenue cycle technology services offering data analytics, multi-channel customer communications. Founded in 1997, the company is headquartered in Wixom, USA, with a team of 501-1000 employees. The company is currently Late Stage.