Virta Health

Senior Analytics Engineer

Virta Health
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12 days ago
Remote, United StatesSenior
H1B sponsor

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

Apache AirflowAWSdbtGoGoogle BigQueryGoogle Cloud PlatformPythonSQL

Categories

Data Engineering
Virta Health

About Virta Health

501-1,000 employees

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.

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