Staff Data Analytics Engineer

✓ Verified Job

Canonical indexed version, validated from employer's careers page.

Source: Company careers pageValidated by: Fursa AI

Last checked: 3 hours agoStatus: Live

Job Summary

Own the semantic layer for a trusted data platform that powers dashboards, self-serve analytics, and AI-driven data agents. Design and maintain metrics, dimensions, and data models as the single source of truth, while structuring a Databricks and GCP-based platform for AI readiness via Unity Catalog, consistent naming, and strong data contracts. Drive end-to-end data quality with observability, testing, and alerting, enable self-serve analytics with stakeholders, and set modeling and documentation standards across the data org.

Location: United States

Workplace: Remote

Employment Type: Contract

Job Function: Data Analytics & Business Intelligence

Seniority: Mid level

Key Responsibilities

•Own the semantic layer by designing and maintaining metrics, dimensions, and data models as the single source of truth.
•Architect the data platform for AI readiness, including clean schemas in Unity Catalog and strong data contracts.
•Drive end-to-end data quality with observability, testing, and alerting in data pipelines.
•Enable self-serve analytics by partnering with product, clinical, and business teams to deliver dashboards and tooling.
•Set and enforce data modeling, documentation, and code review standards across the data org, collaborating cross-functionally to translate business questions into data solutions.

Key Requirements

•8+ years of analytics engineering or data engineering experience with clear progression to staff-level scope and impact.
•Deep SQL expertise and strong Python skills.
•Strong data modeling fundamentals; experience building and enforcing clean, extensible, well-documented models (dbt is a plus).
•Experience with modern data stack tools including Databricks, Snowflake or BigQuery, and Airflow (or similar orchestration), plus BI tools like Looker/Tableau.
•Track record building resilient, monitored, production-grade data systems.

Experience:Health techData engineeringAnalytics engineering

Skills:CommunicationCollaborationBias toward actionAdaptabilityContinuous improvement

Tech Stack:SQLPythonDatabricksGCPUnity CatalogSnowflakeBigQueryAirflowLookerTableauDbtDelta LakeSparkAILLMData agentsObservability

Company Brief

Function Health

Function Health develops digital health solutions to support chronic disease management, delivering personalized care pathways, remote monitoring, and patient engagement tools to improve outcomes and reduce healthcare costs for people with long-term conditions.

Industry: HealthTech

Website

Loading job details...

Preparing the role view and application actions.

Function Health

1 week ago

Staff Data Analytics Engineer

✓ Verified Job

Canonical indexed version, validated from employer's careers page.

Source: Company careers pageValidated by: Fursa AI

Last checked: 3 hours agoStatus: Live

Job Summary

Location: United States

Workplace: Remote

Employment Type: Contract

Job Function: Data Analytics & Business Intelligence

Seniority: Mid level

Key Responsibilities

•Own the semantic layer by designing and maintaining metrics, dimensions, and data models as the single source of truth.
•Architect the data platform for AI readiness, including clean schemas in Unity Catalog and strong data contracts.
•Drive end-to-end data quality with observability, testing, and alerting in data pipelines.
•Enable self-serve analytics by partnering with product, clinical, and business teams to deliver dashboards and tooling.
•Set and enforce data modeling, documentation, and code review standards across the data org, collaborating cross-functionally to translate business questions into data solutions.

Key Requirements

•8+ years of analytics engineering or data engineering experience with clear progression to staff-level scope and impact.
•Deep SQL expertise and strong Python skills.
•Strong data modeling fundamentals; experience building and enforcing clean, extensible, well-documented models (dbt is a plus).
•Experience with modern data stack tools including Databricks, Snowflake or BigQuery, and Airflow (or similar orchestration), plus BI tools like Looker/Tableau.
•Track record building resilient, monitored, production-grade data systems.

Experience:Health techData engineeringAnalytics engineering

Skills:CommunicationCollaborationBias toward actionAdaptabilityContinuous improvement

Tech Stack:SQLPythonDatabricksGCPUnity CatalogSnowflakeBigQueryAirflowLookerTableauDbtDelta LakeSparkAILLMData agentsObservability

Company Brief

Function Health

Industry: HealthTech

Website