
Senior Analytics Engineer
Virta Health12 days ago
Base Salary
$162k - $209k/yr
Responsibilities
- Build reusable analytical models and BigQuery datasets with accurate grain, keys, relationships, and historical behavior.
- Develop and maintain dbt transformations, LookML views, Explores, measures, dashboards, documentation, and shared business semantics.
- Implement data rearchitecture and Looker Core migration components, reconcile results, validate dependencies, and retire legacy models and content.
- Translate business requirements from Analytics, Finance, Growth, Customer Success, Clinical, and other stakeholders into reusable technical solutions.
- Implement automated tests, investigate discrepancies across source systems and BI outputs, resolve production issues, and improve data reliability.
- Optimize SQL, materializations, incremental processing, BigQuery partitioning, clustering, model structure, documentation, and lineage.
- Build governed datasets and semantic definitions for data agents and AI workflows, and validate generated answers against trusted metrics.
- Own work from technical scoping through deployment and iteration, review code, share reusable patterns, and use AI-assisted development tools responsibly.
Requirements
- 5+ years of experience in analytics engineering, data engineering, or a related technical role, with experience shipping and supporting production data solutions.
- Advanced SQL skills and strong judgment in data modeling, join cardinality, aggregation, historical state, and event sequences.
- Substantial hands-on dbt experience, including modular transformations, incremental models, testing, documentation, and dependency management.
- Experience developing LookML views, Explores, dimensions, and measures, including diagnosing join behavior and maintaining consistent metrics.
- Experience with BigQuery or a comparable cloud data warehouse, including query optimization and freshness, performance, and cost tradeoffs.
- Strong software engineering practices for data work, including version control, code review, automated testing, and controlled deployments.
- Working proficiency in Python or Go for scripting, validation, and automation.
- Ability to translate ambiguous business requirements into reusable technical solutions and carry implementation through completion.
- Strong debugging skills across source systems, transformation pipelines, and BI tools, with accountability for reliability and usability.
- Practical experience using AI-assisted development tools and validating generated SQL, code, and documentation against actual data behavior.
- Preferred experience includes analytical model or BI platform migrations, semantic layers, governed natural-language analytics, AI-agent data tools, ML datasets, Applied AI partnerships, GCP, dbt Cloud, Airflow, Dagster, automated data observability, and healthcare or sensitive-data controls.
Benefits
- Remote-first work arrangement with office hubs in Denver and San Francisco.
- Location-based compensation structure with a stated range of $161,500-$209,000.
- The role may involve sensitive patient information governed by HIPAA, with security and privacy training provided.
- Corporate roles are not currently hired in AK, DE, HI, ME, MS, OK, SD, or VT.
Tech Stack
Categories
Data Engineering
About Virta Health
Virta Health provides a virtual metabolic care program that uses personalized nutrition therapy, remote monitoring, and clinician and coach support to help people with type 2 diabetes, prediabetes, and obesity. The company sells its program as a benefit to large employers, health plans, PBMs, and government organizations, aiming to lower medication use and costs. Founded in 2014 and headquartered in Denver, it is privately held.