Data Engineer IV – AI & Data Products

Upbound Group•Draper, UT

7d•Onsite

About The Position

Upbound Group, Inc. is seeking a Data Engineer IV with a focus on AI & Data Products. This role is responsible for defining, building, validating, and maintaining domain-specific data product assets and data pipelines. The engineer will collaborate with analytics and business partners to create semantic layers and models for various user personas, including report consumers, self-service analysts, and data scientists. The position involves creating and maintaining data assets using Python, SQL, and other approved tools, ensuring solutions align with architectural guidelines, security, risk, and compliance requirements. The role also includes supporting analysts and product teams, assembling complex datasets, and identifying process improvements through automation and infrastructure optimization. Data governance, quality management, and stakeholder collaboration are key aspects of this position.

Requirements

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.

Nice To Haves

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.

Responsibilities

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.
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.
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.