Virta Health

Engineering Manager, Data Engineering

Undisclosed

Remote. The employer does not say where candidates may be based.

Location not stated

Employer listed it 3 days ago · Added 2 days ago

First listed 3 days ago and still open.

Salary

$175,000 to $228,000

Location

Location not stated

Work style

Async

Contract

Full-time

Experience

Mid

What the advert says

Quoted word for word from the employer's advert. Where it says nothing, we say so.

Working hours: Experience hiring, coaching, and managing performance across different engineering skill sets, and building collaborative teams in a remote or asynchronous environment.
Where you can work from: Location eligibility not confirmed
Contract: Not mentioned in the advert
Experience asked for: Not mentioned in the advert
Pay: Virta has a location based compensation structure.

Remote flexibility

Undisclosed

The listing is advertised as remote but does not state which countries or regions candidates may work from.

Why this role is Undisclosed

We only label a role Work from anywhere, Region restricted or Work from home when the employer's own wording says so. We checked this advert under our current rules and found no country or region eligibility requirement in it. We don't guess, so it stays Undisclosed until the employer publishes enough location information. Here is exactly what the advert left out.

Countries you can work from: Not stated. The advert only gives "Remote", which names no country you must live in.
Whether the work is remote: Confirmed by the employer: "building collaborative teams in a remote or asynchronous environment."
Working hours: Stated: Async.

Worth a look all the same. Missing wording is usually a rushed job posting rather than a closed door, so ask where you can be based in your first message, before you write a tailored application.

What the employer says

Source listing states candidate location: "Remote"

What Nomaders makes of it

No residency or region requirement found in the job description
Check with the employer before assuming you can work from abroad

The quotes above are the employer's own words; the reading is ours. Always check the original listing and employment terms before working from another country.

Before you apply

Experience: employer states

Written as a requirement

“You have no ego and understand that everyone has something to bring to the table regardless of experience”

Questions worth asking: Nomaders interpretation

The advert does not say where you can be based. Ask which countries they can legally employ or contract you from.
The advert does not say whether this is employment or a contractor arrangement. Ask, as it affects tax and benefits.

Produced automatically from this advert's text; not reviewed by a person. The employer's own page is the final word.

About the role

Virta Health is on a mission to reverse metabolic disease in one billion people. Current treatment approaches aren’t working—over half of US adults have either type 2 diabetes or prediabetes, and obesity rates are at an all-time high. Virta is changing this by helping people reverse their metabolic condition through innovations in technology, personalized nutrition, and virtual care delivery reinvented from the ground up. We have raised over $350 million from top-tier investors, and partner with the largest health plans, employers, and government organizations to help their employees and members restore their health and take back their lives. Join us on our mission to reverse metabolic disease in one billion people.

About the Role

As Engineering Manager for Data Engineering, you will lead and grow the team responsible for the data foundations that support Virta’s business, care delivery, and AI capabilities. You will take over an established team with deep technical and business knowledge and help shape its next stage of growth. The team is composed of both Data Engineers (platform) and Analytics Engineers (models). You will be accountable for reliable pipelines, platform tooling, and engineering standards, as well as reusable analytical models, semantic definitions, and the Looker experiences that help people make decisions. Both disciplines are core to the role, with distinct skills and career paths to develop.

Your initial priorities will be completing our data and analytics modernization, expanding self-service, and enabling agents and ML to use trusted data. Our stack includes BigQuery, dbt Cloud, and Looker/LookML. You will work directly with stakeholders to understand their needs, set priorities, and measure adoption. Strong engineers will be your partners in delivery; you should be comfortable getting into the technical details when decisions or problems require it.

Responsibilities:

Lead and grow both engineering disciplines. Coach data engineers and analytics engineers, set clear expectations, and support their technical and career growth. Assess the team’s needs and use additional planned hires to build the right mix of capabilities.

Complete the data and analytics migration. Lead the remaining BigQuery medallion architecture and Looker Core rollout, including validation, stakeholder onboarding, and retirement of legacy paths. Preserve confidence in business metrics throughout the transition.

Own discovery, priorities, and delivery. Build relationships with Engineering, Analytics, Finance, Commercial, and Clinical partners. Translate their needs into a focused roadmap, resolve competing priorities, and balance planned work with operational support.

Expand self-service. Build reusable ingestion and transformation patterns, tooling, documentation, and standards that help engineering and analytics teams produce and use trustworthy data with less central coordination.

Own analytics engineering quality. Guide the development of reusable dbt models, shared semantic definitions, and LookML. Partner with domain experts to establish consistent business meaning and create datasets that serve multiple use cases.

Advance data capabilities for agents and ML. 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 the data access, quality, and interfaces needed for their ML workflows.

Improve reliability and governance. Establish clear ownership, testing, freshness expectations, actionable alerts, and incident practices. Partner with Security and Infrastructure on access controls, PHI/PII protection, lineage, and cost management.

Improve how the team works. Apply AI-assisted development and automation where they reduce toil and improve delivery, with validation that protects data correctness. Use adoption, migration progress, reliability, and stakeholder feedback to assess impact.

Requirements:

3+ years of engineering management experience, including direct leadership of both data engineering and analytics engineering work. Deep expertise in one discipline is sufficient if you have successfully led and developed engineers in the other.

Strong technical judgment across data pipelines, cloud warehouses, SQL and data modeling, transformation frameworks, orchestration, and BI or semantic layers. You can review designs and code, investigate difficult problems, and make sound tradeoffs with experienced engineers.

Experience leading a significant data platform or analytics migration, including data validation, stakeholder adoption, and operational continuity.

Experience owning stakeholder discovery and roadmap prioritization without relying on a dedicated product manager. You can understand a business problem, challenge assumptions, and turn competing requests into an achievable plan.

A track record of building reusable capabilities and helping other teams adopt them. You can balance shared standards with the needs of different business domains.

Experience hiring, coaching, and managing performance across different engineering skill sets, and building collaborative teams in a remote or asynchronous environment.

Clear communication with technical and business audiences, with experience connecting team priorities to company outcomes and using evidence to guide decisions.

Bonus Points For…

Experience with BigQuery, dbt Cloud, Looker/LookML, GCP, Python, Go, or infrastructure as code.

Experience building data agents, governed natural-language analytics, semantic layers for AI, or data capabilities that support production ML systems.

Requirements

·Experience leading a significant data platform or analytics migration, including data validation, stakeholder adoption, and operational continuity.
·A track record of building reusable capabilities and helping other teams adopt them. You can balance shared standards with the needs of different business domains.
·Experience hiring, coaching, and managing performance across different engineering skill sets, and building collaborative teams in a remote or asynchronous environment.
·Clear communication with technical and business audiences, with experience connecting team priorities to company outcomes and using evidence to guide decisions.

Benefits

No benefits package published with this listing. Ask about it at first interview.

How to apply

1Check the flexibility label above, undisclosed, matches where you plan to live and work.
2Tailor your CV to the role at Virta Health, mentioning your remote working experience and working hours (Async).
3Apply directly on the employer's careers page using the button below. Nomaders never handles your application.

Found 3d ago. Last checked today. Always confirm the details on the original posting, salary and location can change after publication.

Listing sourced from Company boards.

$175,000 to $228,000 · You'll be taken to the employer's careers page.