Senior Analytics Engineer

This is a fully remote position, open to applicants in United States.

📋 Description

• Construct reusable analytical models utilizing dbt and BigQuery.

• Design and sustain LookML views, Explores, measures, and associated dashboards.

• Execute data rearchitecture and components for Looker Core migration.

• Reconcile outcomes with existing systems and verify downstream dependencies.

• Collaborate with Analytics, Finance, Growth, Customer Success, and Clinical teams.

• Convert business inquiries and edge scenarios into reusable technical solutions.

• Establish automated tests for model functionality, relationships, data freshness, and business regulations.

• Investigate and remedy data inconsistencies and production challenges.

• Enhance SQL, materializations, incremental processing, as well as BigQuery partitioning and clustering.

• Refine model structure, documentation, and lineage.

• Contribute to governed datasets and semantic definitions for agents and AI.

• Provide Applied AI with dependable analytical data and interfaces for ML workflows.

• Manage technical scoping through deployment and iteration phases.

• Review code, disseminate reusable patterns, and utilize AI-assisted development tools.

• Achieve initial enhancements, analytical models, migration components, monitoring, and downstream validation within the first 90 days.

⛳️ Requirements

• Over 5 years of experience in analytics engineering, data engineering, or a similar technical field.

• Proven history of delivering and supporting production data solutions.

• Proficient SQL skills and strong data-modeling expertise.

• Practical experience with dbt, encompassing modular transformations, incremental models, testing, documentation, and dependency management.

• Experience in developing LookML views, Explores, dimensions, and measures.

• Familiarity with BigQuery or an equivalent cloud data warehouse.

• Strong software engineering principles, including version control, code reviews, automated testing, and controlled deployments.

• Working knowledge of Python or Go.

• Skill in translating vague business requirements into reusable technical solutions.

• Excellent debugging capabilities across source systems, transformation pipelines, and BI tools.

• Practical experience with AI-assisted development tools.

• Must adhere to security and privacy protocols for sensitive patient information as mandated by HIPAA.

• Legally authorized to work in the United States.

🏝️ Benefits

• Remote-first work environment.

• Office locations in Denver and San Francisco.

• Security and privacy training provided.

• Compensation structure based on location.

• AI-assisted recruitment process, with final hiring decisions made by Virta Health personnel.