Data & Analytics Engineer

Savage • Midvale, UT

19h • Onsite

About The Position

As a key Savage team member, you will own data products end-to-end — building and maintaining the pipelines that land and transform data in Snowflake, modeling that data into a governed semantic layer, and turning it into trusted Power BI reports that drive decisions across Savage’s business segments. You will treat AI as a standard part of the toolkit, using it to accelerate how data products are built, tested, documented, and maintained.

Requirements

• 2+ years building and maintaining production data pipelines, with strong Python and strong SQL
• Hands-on Snowflake development — data modeling, query and warehouse performance tuning, and day-to-day build work, not just exposure
• Proven Power BI development — reports, semantic/data models, and DAX measures built from scratch, plus ownership of refresh, workspaces, and permissions; not consuming or lightly editing reports someone else built
• Workflow orchestration with Apache Airflow, and transformation and modeling in dbt, including tests and documentation
• AWS, at minimum hands-on with S3
• Git-based development as a normal habit — branching, code review, CI/CD, and automated testing
• Practical use of AI assistants (Claude, Copilot, Cursor, or similar) to produce real production work — generating pipeline, transformation, and report code, then reviewing, correcting, and standing behind the result
• Comfortable owning work across the full stack — ingestion → transformation → modeling → semantic layer → report — rather than staying in one layer
• Clear, professional communicator who can turn an ambiguous business question into a defined deliverable
• An adaptable team player with an outcome-oriented mindset and a habit of sharing knowledge

Nice To Haves

• BA/BS degree in a technology discipline, or equivalent applicable work experience
• Snowflake Semantic Views and semantic-layer design, including making data reliably queryable by natural-language and AI tooling (Cortex Analyst, Power BI Copilot, or similar)
• Apache Airflow, specifically on Astronomer
• Dimensional modeling (Kimball), data mesh, or domain-driven design principles
• Semi-structured and event-driven data — JSON, Parquet, streaming
• T-SQL / SQL Server, MuleSoft, or other integration tooling
• Report and dashboard UX design sensibility
• Snowflake or dbt certifications
• Working in logistics, energy, agriculture, supply chain, finance, or safety domains

Responsibilities

• Build and maintain robust pipelines that land and transform data in Snowflake using Airflow (Astronomer), dbt, Python, and AWS
• Model data into governed, reusable semantic layers — including Snowflake Semantic Views — so one set of definitions serves Power BI, analysts, and AI-driven tools
• Design and build Power BI reports and semantic models that stakeholders trust and actually use
• Use AI tooling as a standard part of the workflow to accelerate build, refactoring, testing, and documentation, while remaining fully accountable for correctness
• Partner with stakeholders to understand needs, refine requirements, and ensure deliverables hit the mark
• Champion data quality, testing, and documentation across pipelines, models, and reports
• Enable self-service where it makes sense — act as the Power BI resource for report builders across the business
• Continuously sharpen your skills as the stack and the tooling evolve

Benefits

• Excellent benefits including medical, dental, vision, PTO, Holidays, Profit Sharing, and 401(k) with match.
• Uniform Services Time Off (USTO)
• Uniform Services Differential Pay
• A culture that appreciates team members

What This Job Offers

• Job Type: Full-time
• Career Level: Mid Level
• Education Level: Associate degree