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Data Engineer IV – AI & Data Products

Job in Draper, Salt Lake County, Utah, 84020, USA
Listing for: Upbound Group
Full Time position
Listed on 2026-05-25
Job specializations:
  • IT/Tech
    Data Engineer, Data Analyst, Data Science Manager
Salary/Wage Range or Industry Benchmark: 80000 - 100000 USD Yearly USD 80000.00 100000.00 YEAR
Job Description & How to Apply Below

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. Upbound’s customer‑facing operating units include industry‑leading brands such as Acima, Brigit, and Rent‑A‑Center, which 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.

Job Description

Location:

Draper, UT (In‑Office). Sponsorship:
None.

Data Engineer IV – AI & Data Products

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, semantic 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 Linked In Learning.
  • Free car charging.
  • Onsite gym and showers.

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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