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Data Quality Jobs in Utah (NOW HIRING)

Upbound

Data Engineer IV - AI & Data Products

Draper, UT · On-site

$107K - $128K/yr

Build high quality solutions and assets aligned to defined architectural guidelines, data integration patterns, frameworks, and tools. * Build solutions aligned to security, risk, and compliance ...

Pattern

Data Engineer

Lehi, UT · On-site

$107K - $129K/yr

Build data expertise and own data quality for assigned areas of ownership. * Work with data infrastructure to triage issues and drive to resolution. Required Qualifications * Bachelor's Degree in ...

Crumbl

Data Engineer

Provo, UT · On-site

$109K - $131K/yr

... quality • Develop and maintain documentation, including data dictionaries, workflow diagrams, and data flow diagrams • Ensure the integrity and security of data by implementing appropriate ...

Pattern

Data Engineer

Lehi, UT · On-site

$107K - $129K/yr

Build data expertise and own data quality for assigned areas of ownership. * Work with data infrastructure to triage issues and drive to resolution. Required Qualifications * Bachelor's Degree in ...

Pattern

Data Engineer

Lehi, UT

$107K - $129K/yr

Build data expertise and own data quality for assigned areas of ownership. * Work with data infrastructure to triage issues and drive to resolution. Required Qualifications * Bachelor's Degree in ...

challenger

Data Warehouse Analytics Specialist

Sandy, UT

$17 - $21.75/hr

This position is heavily focused on SQL/PYTHON, documentation, data quality, warehouse analysis, semantic consistency, and business understanding rather than dashboard design or software engineering.

challenger

Data Warehouse Analytics Specialist

Sandy, UT

$17 - $21.75/hr

This position is heavily focused on SQL/PYTHON, documentation, data quality, warehouse analysis, semantic consistency, and business understanding rather than dashboard design or software engineering.

Pura

Staff Data Scientist

Pleasant Grove, UT · On-site

... data quality and integrity. • Explaining technical concepts clearly to stakeholders at all levels. Qualifications : Required : • 5+ years of experience in data science or a related field • ...

Utah Community Credit Union

Data Engineer

Provo, UT · On-site

$108K - $130K/yr

... quality frameworks, including automated testing, validation rules, and alerting for pipeline anomalies • Lead the implementation of data modeling best practices (dimensional modeling, data vault ...

The Good and the Beautiful

Data Analyst

Lehi, UT · On-site +1

Data quality, governance, and documentation * Strategic and critical thinking * Independent problem-solving and accountability Supervisory Responsibility This position has no direct reports but ...

Utah Community Credit Union

Data Engineer

Provo, UT · On-site

$108K - $130K/yr

... quality frameworks, including automated testing, validation rules, and alerting for pipeline anomalies • Lead the implementation of data modeling best practices (dimensional modeling, data vault ...

Wipro Limited

Data Analytics L1(CONTRACT)

Santa Clara, UT · On-site

$60K - $148K/yr

Data models, Data pipelines, Data mappings Data quality concepts: - Completeness, accuracy, consistency, timeliness Ability to define validation rules, KPIs, and reconciliation logic. Manufacturing ...

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Data Quality information

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How much do data quality jobs pay per hour?

As of Aug 13, 2026, the average hourly pay for data quality in Utah is $37.72, according to ZipRecruiter salary data. Most workers in this role earn between $25.38 and $49.47 per hour, depending on experience, location, and employer.

Is data quality a good career?

Data quality is a valuable career path involving ensuring the accuracy, consistency, and reliability of data within organizations. Professionals in this field often work with data management tools, perform audits, and may pursue certifications like Certified Data Management Professional (CDMP). It offers opportunities across industries such as finance, healthcare, and technology with steady demand for skilled data quality specialists.

What are the key skills and qualifications needed to thrive in a data quality position, and why are they important?

To thrive in a Data Quality role, you need expertise in data analysis, attention to detail, knowledge of data governance, and often a bachelor's degree in a related field such as computer science or information systems. Familiarity with tools like SQL, data profiling software, and data quality management platforms, as well as certifications like CDMP (Certified Data Management Professional), is highly valued. Strong problem-solving abilities, effective communication, and a collaborative mindset help professionals excel in this position. These skills are crucial for ensuring accurate, reliable data that supports business decision-making and overall organizational efficiency.

What is a data quality?

A Data Quality job involves ensuring that data is accurate, consistent, and reliable for business use. Professionals in this role develop and enforce data quality standards, identify and resolve data discrepancies, and implement processes for data validation and cleansing. They often work with databases, data governance frameworks, and analytics teams to maintain high-quality data. This role is essential for organizations relying on data-driven decisions, as poor data quality can lead to incorrect insights and inefficiencies.

What are the typical challenges faced by someone working in a data quality role?

Professionals in Data Quality roles often encounter challenges such as identifying inconsistent data sources, addressing missing or inaccurate data, and maintaining data standards as systems and business requirements evolve. Working closely with IT, data analysts, and business stakeholders, Data Quality specialists must resolve data discrepancies while balancing the need for accuracy with project deadlines. These challenges require excellent analytical and troubleshooting skills, as well as the ability to communicate data issues clearly across teams. Overcoming these hurdles is key to ensuring data-driven decisions are based on trustworthy information.

What are the most commonly searched types of Data Quality jobs in Utah?

The most popular types of Data Quality jobs in Utah are:

What are popular job titles related to Data Quality jobs in Utah?

For Data Quality jobs in Utah, the most frequently searched job titles are:

What job categories do people searching Data Quality jobs in Utah look for?

The top searched job categories for Data Quality jobs in Utah are:

Data Quality jobs near you
Infographic showing various Data Quality job openings in Utah as of July 2026, with employment types broken down into 1% As Needed, 81% Full Time, 11% Part Time, and 7% Contract. Highlights an 81% Physical, 3% Hybrid, and 16% Remote job distribution, with an average salary of $78,463 per year, or $37.7 per hour.

Data Engineer IV - AI & Data Products

Upbound Group, Inc.

Draper, UT • On-site

$107K - $128K/yr

Full-time

Medical, Dental, Vision, Retirement

Posted 23 days ago

Job description

Job Description:
Data Engineer IV - AI & Data Products
(Draper UT, In-Office)
Upbound Group, Inc. (NASDAQ: UPBD) is a technology and data-driven leader in accessible and inclusive financial solutions that address the evolving needs and aspirations of underserved customers. The Company's customer-facing operating units include industry-leading brands such as Acima, Brigit, and Rent-A-Center that facilitate consumer transactions across a wide range of store-based and digital channels, including over 2,300 company branded retail units across the United States, Mexico, and Puerto Rico. Upbound Group, Inc. is headquartered in Plano, Texas.
KEY RESPONSIBILITIES
Data Products & Data Integration
  • Define, build, validate and maintain domain-specific data product assets and data pipelines.
  • Collaborate with analytics and business partners to define and build semantic layers/models to support various personas - Report consumers, Self-Service and Advanced SQL Analysts, Data Scientists and AI use cases/agents.
  • Create and maintain data domain assets (pipelines/ETLs, sematic models and other assets) using Python, SQL, and other approved tools.
  • Build high quality solutions and assets aligned to defined architectural guidelines, data integration patterns, frameworks, and tools.
  • Build solutions aligned to security, risk, and compliance guidelines.
  • Support analysts and product teams with data products and assigned data domain expertise.
  • Assemble large complex data sets that meet functional/non-functional business requirements.
  • Identify, design, and implement internal process improvements: automating manual processes, optimizing data delivery and re-designing infrastructure for greater scalability.
  • Perform data analysis required to troubleshoot data related issues and assist in the resolution of data issues.

Data Governance & Quality
  • Manage business glossary in collaboration with business teams and build/maintain technical metadata for assigned data domains.
  • Define data quality rules and controls for assigned data domains and data assets (consumption, gold, silver, bronze layer tables).
  • Validate domain datasets for accuracy and completeness. Ensure domain data is of high quality and consumable by reporting, analytics, data science, and AI use cases.

Stakeholder Collaboration
  • Collaborate with business leaders, Executives, Data Scientists, BI Analytics, Product, Engineering, and other operational departments to ensure successful delivery of data solutions and data assets (consumption, gold, silver, bronze layer tables)
  • Translate business requirements into Data Products and data assets (consumption, gold, silver, bronze layer tables & pipelines) build specifications.

SKILLS, EXPERIENCES & QUALIFICATIONS
  • 8+ years of experience in Data Engineering roles
  • 2+ years of warehouse data modeling and pipeline design experience
  • Experience with data warehousing: Snowflake or similar systems
  • Strong Python experience
  • Strong SQL experience
  • Strong REST API experience
  • Experience using Linux.
  • Ability and motivation to learn new technologies quickly with minimal support and guidance.
  • Strong communication skills
  • Experience supporting and working with cross-functional teams in a dynamic environment.

Additional Experience:
  • AI-Driven Data Engineering Mindset - Hands-on experience using AI-assisted development tools (e.g., Copilot, generative AI) to accelerate pipeline design, code generation, and troubleshooting.
  • Intelligent Pipeline Development - Ability to design pipelines that incorporate AI for data transformation, anomaly detection, data classification, and schema evolution.
  • AI-Enabled Data Quality & Observability - Experience using AI/ML techniques for automated data quality checks, root cause analysis, and proactive monitoring.

Metadata & Semantic Layer Enrichment - Ability to use AI to auto-generate metadata, data documentation, semantic mappings, and business glossary entries
COMPENSATION/BENEFITS
  • Full health benefits-Medical/Dental/Vision
  • 401(k) match, 6%/3%
  • DTO (discretionary time off)
  • Health savings account (HSA) with company contribution
  • College tuition reimbursement program (STEAM degrees)
  • Unlimited use of Linkedin Learning
  • Free car charging
  • Onsite gym and showers

SPONSORSHIP
Applicants must be authorized to work for ANY employer in the U.S. We are unable to sponsor or take over sponsorship of an employment visa at this time.
Upbound is an equal opportunity employer committed to ensuring that all employment decisions are made on a non-discriminatory basis, and without regard to actual or perceived race.
Upbound Group is an equal opportunity employer. We celebrate diversity and are committed to creating an inclusive environment for all employees.

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