Bi Developer Contract Jobs in Utah (NOW HIRING)

About the role

We are seeking a highly skilled Senior BI Engineer to take ownership of our Snowflake data platform and help evolve it into a scalable, well-governed foundation for analytics and AI. This is a hands-on engineering role responsible for shaping data architecture, enforcing standards, and building a clean, reliable data layer that supports both business intelligence and AI-driven use cases. You will report directly to the Director of BI and have significant autonomy in how the platform evolves. 

What You'll Do 

Own and Elevate the Data Platform 

• Own the design and evolution of our Snowflake data platform end-to-end 
• Refactor and enhance pipelines, dbt models, and transformations to meet high standards for scalability, performance, and maintainability 
• Make and drive architectural decisions-not just implement tasks 

Architect for Scale and Clarity 

• Implement and enforce medallion architecture (bronze/silver/gold) with clear separation of concerns 
• Design and build dimensional models (star schemas) that are intuitive, performant, and durable 
• Implement SCD Type 2 and other core warehousing patterns correctly and consistently 
• Establish and enforce standards for schemas, naming, and data contracts 
• Integrate and normalize data from a wide range of source systems (SaaS apps, operational databases, event streams, finance/CRM tools) into a coherent, well-modeled warehouse layer 

Build an AI-Ready Data Layer 

• Design data models optimized for semantic clarity and AI/LLM consumption 
• Implement semantic views in Snowflake to enable tools like Claude via MCP 
• Ensure data is traceable, explainable, and trustworthy 

Establish a Real Data Engineering SDLC 

• Implement a Git-driven development lifecycle (branching, PR reviews, testing, deployments) 
• Introduce and enforce: 
• Data quality testing and validation 
• Schema enforcement and regression safeguards 
• Clear promotion paths from dev prod 
• Raise the bar on engineering discipline across the data function 

Leverage AI as a Force Multiplier 

• Use AI tools to accelerate development while maintaining high standards 
• Guide and validate AI-generated code-never blindly trust it 
• Explore agent-based approaches for: 
• Data quality auditing 
• Pipeline validation 
• Anomaly detection and monitoring 

Collaborate and Lead Technically 

• Partner with BI analysts to deliver reliable, well-modeled datasets (Power BI downstream) 
• Translate ambiguous business requirements into clean, scalable data models 
• Provide technical direction to a supporting QA/offshore resource (planned) 

Documentation & Transparency 

• Build a culture of clear documentation, lineage, and data discoverability 
• Ensure systems are understandable and maintainable by others 
• Other duties as assigned 

What You'll Need to be Successful 

Data Engineering Depth & Ownership 

• 5+ years of hands-on data engineering experience, with a meaningful portion spent owning architecture and driving development - not just executing assigned tasks 
• Strong experience with Snowflake as a primary warehouse 
• Advanced SQL skills and experience building production-grade ELT pipelines 
• Strong hands-on experience with dbt for modeling, testing, and transformation - including macros, tests, snapshots, and managing a production dbt project at scale 
• Experience integrating and normalizing data from many disparate source systems - SaaS APIs, application databases, CRM/ERP, finance systems, event data - into consistent, analytics-ready models 
• Deep, hands-on experience with: 
  • Star schemas and dimensional modeling 
  • SCD Type 2 implementations 
  • Layered/medallion architectures 
• Ability to make tradeoffs and defend decisions (performance vs flexibility, normalization vs usability, etc.) 
• Track record of improving data quality, consistency, and trust 
• Experience implementing Git-based workflows and structured SDLC practices for data 
• Strong instincts around testing, governance, and maintainability 
• Comfortable setting and enforcing standards across a team 

AI-First Mindset

• Demonstrated ability to use AI tools to meaningfully increase output and velocity 
• Strong judgment to validate and refine AI-generated work 
• Interest in applying AI/agents to improve data engineering workflows 

What Will Make You Stand Out

• Familiarity with Power BI 
• Familiarity with Salesforce as a data source (objects, schema, Salesforce-to-warehouse pipelines) 
• Experience working with or leading offshore/support resources

What You'll Love About NetDocuments 

• The People! 
• 90% healthcare premiums company covered 
• HSA company contribution 
• 401K match at 4% with immediate vesting 
• Flexible PTO (typically 3 to 4 weeks a year) 
• 10 paid holidays 
• Monthly contributions for life activities & wellness 
• Access to LinkedIn learning with monthly dedicated time to explore 

Compensation Transparency 

The compensation range for this position is: $155,000-$165,000

The posted cash compensation for this position includeson target earnings, base salary and variable if applicable. Some roles may qualify for overtime pay. Individual compensation packages are determined based on various factors specific to each candidate, such as career level, skills, experience, geographic location, qualifications, and other job-related