Engineering Manager, Data Engineering
New
V
Virta HealthDigital health
Location: Remote; Workplace: Remote. Corporate roles: We currently do not hire in the following states: AK, DE, HI, ME, MS, OK, SD, VT.Full-TimeManager
Salary175,000 - 228,000 USD per year
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Job Details
- Experience
- 3+ years of engineering management experience
- Required Skills
- SQLData engineeringData modelingBigQuery
Requirements
- Have 3+ years of engineering management experience, including direct leadership of both data engineering and analytics engineering work.
- Bring deep expertise in one discipline and experience successfully leading and developing engineers in the other.
- Demonstrate technical judgment across data pipelines, cloud warehouses, SQL, data modeling, transformation frameworks, orchestration, and BI or semantic layers.
- Be able to review designs and code, investigate difficult problems, and make sound tradeoffs with experienced engineers.
- Have led a significant data platform or analytics migration, including data validation, stakeholder adoption, and operational continuity.
- Have experience owning stakeholder discovery and roadmap prioritization without relying on a dedicated product manager.
- Have a track record of building reusable capabilities and helping other teams adopt them.
- Have experience hiring, coaching, and managing performance across different engineering skill sets.
- Have experience building collaborative teams in a remote or asynchronous environment.
- Communicate clearly with technical and business audiences and use evidence to guide decisions.
- Bonus: Experience with BigQuery, dbt Cloud, Looker/LookML, GCP, Python, Go, or infrastructure as code.
- Bonus: Experience with data agents, governed natural-language analytics, AI semantic layers, production ML data capabilities, AI-assisted development workflows, or sensitive-data governance in healthcare or another regulated industry.
Responsibilities
- Lead and grow the data engineering and analytics engineering disciplines.
- Coach data engineers and analytics engineers, set expectations, and support technical and career growth.
- Complete the BigQuery medallion architecture and Looker Core rollout, including validation, stakeholder onboarding, and retirement of legacy paths.
- Build stakeholder relationships and translate needs into a focused roadmap, balancing priorities and operational support.
- Develop reusable ingestion and transformation patterns, tooling, documentation, and standards to expand self-service.
- Guide reusable dbt models, shared semantic definitions, and LookML in partnership with domain experts.
- Build and operate data agents, and provide governed datasets, semantic context, and tools for agents built by other teams.
- Partner with Applied AI and MLOps on data access, quality, and interfaces for ML workflows.
- Establish ownership, testing, freshness expectations, alerts, and incident practices; partner on access controls, sensitive-data protection, lineage, and cost management.
- Apply AI-assisted development and automation where they reduce toil, validating changes to protect data correctness.
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