Data Engineering Manager, Platform & Analytics (Remote)

Virta Health; Oregon; Hybrid; USD 175,000 - 228,000; Full time

Job summary

Virta Health seeks an Engineering Manager for Data Engineering to lead and grow the data foundations supporting care delivery and AI capabilities. You will supervise Data Engineers and Analytics Engineers, drive reliable pipelines and platform tooling, and shape the next growth stage.

You will collaborate with stakeholders to set priorities and measure adoption, while ensuring data trust and governance across the stack.

Qualifications

• 3+ years in engineering management across data and analytics teams.
• Strong judgment across data pipelines, cloud warehouses, SQL, modeling, orchestration.
• Experience leading a significant data platform migration with data validation and adoption.
• Experience owning stakeholder discovery and roadmap prioritization without a PM.
• Track record building reusable capabilities and enabling other teams.
• Experience hiring, coaching, and managing performance across distributed teams.
• Clear communication connecting priorities to outcomes with evidence.

Responsibilities

• Lead and grow both data engineering and analytics engineering teams; mentor engineers.
• Complete data and analytics migration, including BigQuery medallion architecture and Looker Core rollout.
• Own discovery, priorities, and delivery; translate needs into a focused roadmap.
• Expand self-service: reusable ingestion, transformation patterns, tooling, and standards.
• Oversee analytics engineering quality: dbt models, semantic definitions, LookML.
• Advance data capabilities for agents and ML; collaborate with Applied AI and MLOps.

Skills

Engineering management

Data pipelines

Cloud data warehouses

SQL

Data modeling

dbt Cloud

Looker/LookML

BI / semantic layers

Stakeholder management

Tools

BigQuery

dbt Cloud

Looker/LookML

GCP

Python

Go

Job description

Virta Health seeks an Engineering Manager for Data Engineering to lead and grow the data foundations supporting care delivery and AI capabilities. You will supervise Data Engineers and Analytics Engineers, drive reliable pipelines and platform tooling, and shape the next growth stage.

You will collaborate with stakeholders to set priorities and measure adoption, while ensuring data trust and governance across the stack.