Senior Analytics Engineer
$88,540–$88,540 year
HybridLehi, Utah, United States
Job Summary
Design, build, and maintain dbt models that transform raw source data into clean, analytics-ready datasets while defining and enforcing modeling standards across the team. Proactively identify data coverage gaps, resolve performance bottlenecks in BigQuery transformations, and partner with pipeline owners to ensure reliable DAGs. Bridge engineering and analytics by collaborating with BI developers to create well-modeled Looker data sources and evolve manual QA processes toward automated testing. Mentor junior members on best practices and document data lineage to accelerate onboarding. This high-ownership role sits at the center of Profitero+'s data stack, turning raw data into trusted models that power decisions for 4,000+ global brands.
Required Qualifications
- 5+ years of professional experience in data engineering, analytics engineering, or a similar role
- Expert-level dbt skills including experience building and maintaining production dbt projects at scale including tests, documentation, and incremental models
- Strong SQL and data modeling skills, particularly in BigQuery or another columnar cloud data warehouse
- Experience working across the full data pipeline from raw ingestion to BI-ready models
- Experience with Airflow or Dagster for pipeline orchestration
- Python for data pipeline tasks
- Experience and familiarity with data quality frameworks, automated testing, or observability tooling
- Comfort operating with a high level of ownership, autonomy, and accountability
- A natural sense of urgency with an ability to work quickly, efficiently, and accurately within tight deadlines and constantly-evolving project parameters, scope, and goals
- Flexible and adaptable with an ability to work successfully across multiple concurrent projects and competing priorities
- Highly collaborative but independently capable
- Exceptionally organized with a fanatical attention to detail
- Strong written and verbal communication skills, both with technical and non-technical audiences
- Must be local to or commutable to Lehi (including surrounding locations like Salt Lake City or other south Utah counties)
- Willing to commit to a hybrid schedule
- Willing to work a Mountain Time schedule
- No third-party staffing agencies
- No sponsorship support
Desired Qualifications
- Prior experience working alongside the CPG, retail, and/or marketing industries
- Bachelor's degree in computer science, data analytics, information systems, or a related field
- Experience with ecommerce, CPG, digital shelf, or retail media network data sources and analytics
- Familiarity with Looker or LookML
- Experience with Python for data pipeline tasks
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