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Data Warehouse Developer Jobs in Utah (NOW HIRING)

Data Engineer IV - AI & Data Products (Draper UT, In-Office) Upbound Group, Inc. (NASDAQ: UPBD) is ... Experience with data warehousing: Snowflake or similar systems * Strong Python experience * Strong ...

Relational databases and data warehousing platforms (e.g., Snowflake, SQL Server or similar) * ETL ... CI/CD pipelines and DevOps practices (e.g., Azure DevOps or equivalent) * Experience working in ...

Data Engineer

Lehi, UT · On-site +1

$107K - $129K/yr

As a Data Engineer , you will be the core engineering resource responsible for building, scaling ... Hands-on experience designing and maintaining data lakes or cloud-based data warehouses * Deep ...

Data Engineer

Lehi, UT · On-site

$107K - $129K/yr

As a Data Engineer , you will be the core engineering resource responsible for building, scaling ... Hands-on experience designing and maintaining data lakes or cloud-based data warehouses * Deep ...

Data Engineer

Lehi, UT · On-site +1

$107K - $129K/yr

As a Data Engineer , you will be the core engineering resource responsible for building, scaling ... Hands-on experience designing and maintaining data lakes or cloud-based data warehouses * Deep ...

Data Architects

Salt Lake City, UT · On-site

$95K - $115K/yr

Collaborate with Enterprise Data Warehouse architects to leverage existing institutional assets and ... architects and engineers for graduation into the gold-standard production layer. * Work with ...

Data Architects

Salt Lake City, UT · Hybrid

$95K - $115K/yr

Collaborate with Enterprise Data Warehouse architects to leverage existing institutional assets and ... architects and engineers for graduation into the gold-standard production layer. * Work with ...

... feature engineering and the development of reusable data assets - all while maintaining high ... Experience with cloud data warehouses (we use BigQuery) * Experience building batch-style inference ...

... feature engineering and the development of reusable data assets -- all while maintaining high ... Experience with cloud data warehouses (we use BigQuery) * Experience building batch-style inference ...

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Data Warehouse Developer information

See Utah salary details

$12

$49

$66

How much do data warehouse developer jobs pay per hour?

As of Jun 15, 2026, the average hourly pay for data warehouse developer in Utah is $49.55, according to ZipRecruiter salary data. Most workers in this role earn between $43.12 and $59.09 per hour, depending on experience, location, and employer.

What are the key skills and qualifications needed to thrive as a Data Warehouse Developer, and why are they important?

To thrive as a Data Warehouse Developer, you need expertise in data modeling, ETL processes, SQL, and a solid understanding of database systems, often supported by a degree in computer science or a related field. Familiarity with data warehousing tools (such as Informatica, Talend, or SSIS), OLAP systems, and cloud data platforms is highly valuable, along with relevant certifications. Strong analytical thinking, problem-solving abilities, and effective communication skills set standout professionals apart in this role. These skills are crucial for designing efficient data solutions, ensuring data integrity, and enabling business intelligence for informed decision-making.

What are some common challenges Data Warehouse Developers face when integrating data from multiple sources?

Data Warehouse Developers often encounter challenges with data consistency, varying data formats, and incomplete or poor-quality data when integrating information from multiple sources. Resolving these issues typically involves designing robust ETL (Extract, Transform, Load) processes, implementing data cleansing routines, and collaborating closely with data owners and business analysts to understand data lineage and requirements. Adapting to frequent changes in source systems and ensuring the warehouse remains scalable and performant can also be demanding, but they provide valuable opportunities to develop problem-solving skills and deepen technical expertise.

How much do data warehouse developers make?

Data warehouse developers typically earn a median annual salary ranging from $80,000 to $120,000, depending on experience, location, and industry. Professionals with skills in SQL, ETL tools, and cloud platforms like AWS or Azure may command higher salaries. Entry-level positions generally start lower, while senior roles with certifications can offer higher compensation.

What are Data Warehouse Developers?

Data Warehouse Developers are IT professionals who design, build, and maintain data warehouse systems that consolidate and organize data from multiple sources. They create data models, develop extraction, transformation, and loading (ETL) processes, and ensure data integrity and optimal performance for analytics and reporting. Their work supports business intelligence efforts by making large volumes of data accessible and useful for decision-making.

What Is a Data Warehouse Developer?

A data warehouse developer designs and implements data warehouses, which are meant to store large amounts of data for easy retrieval by a business or organization. In this role, your duties are to develop storage architecture, design big data models, and create ways to input transactions, such as sales, receipts, customer data, and user downloads. Working with other developers, you ensure that the warehouse can both receive customer and client data and return it as output to analysts who can make recommendations based on their interpretation.

Is SQL Server a DWH?

SQL Server is a relational database management system that can be used to build data warehouses (DWH) by integrating and storing large volumes of data for analysis. Data Warehouse Developers often use SQL Server along with tools like SSIS and SSRS to design, develop, and maintain data warehouse solutions. However, SQL Server itself is not a data warehouse but a platform that supports data warehousing tasks.

What is the difference between Data Warehouse Developer vs Data Analyst?

AspectData Warehouse DeveloperData Analyst
CredentialsBachelor's in Computer Science, Data Management, or related field; certifications like Microsoft Certified: Data Analyst AssociateBachelor's in Statistics, Mathematics, or related field; certifications like Microsoft Certified: Data Analyst Associate
Work EnvironmentDesigning, developing, and maintaining data warehouses; working with ETL tools and database systemsAnalyzing data sets, creating reports, and providing insights using BI tools
Industry UsageUsed across industries for data storage and managementUsed across industries for data analysis and reporting

The main difference is that Data Warehouse Developers focus on building and maintaining data storage systems, while Data Analysts interpret data to support business decisions. Both roles require strong technical skills and often overlap in data handling tasks, but their core responsibilities differ.

What is an ETL developer's salary?

An ETL developer's salary typically ranges from $70,000 to $120,000 annually, depending on experience, location, and industry. Skilled developers with expertise in tools like Informatica, Talend, or Apache NiFi and knowledge of SQL and data modeling tend to earn higher salaries.

What does a data warehouse developer do?

A data warehouse developer designs, builds, and maintains data storage systems that aggregate and organize large volumes of data from various sources. They use tools like SQL, ETL processes, and data modeling to ensure data is accessible, accurate, and optimized for analysis. Their work supports business intelligence and decision-making processes.
What are popular job titles related to Data Warehouse Developer jobs in Utah? For Data Warehouse Developer jobs in Utah, the most frequently searched job titles are:
Infographic showing various Data Warehouse Developer job openings in Utah as of June 2026, with employment types broken down into 66% Full Time, 31% Part Time, and 3% Contract. Highlights an 98% Physical, 1% Hybrid, and 1% Remote job distribution, with an average salary of $103,057 per year, or $49.5 per hour.
Data Engineer IV - AI & Data Products

Data Engineer IV - AI & Data Products

Upbound

Draper, UT

$107K - $128K/yr

Other

Medical, Dental, Vision, Retirement

Posted 26 days ago


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 visaat 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.