[Hiring] Data Engineer @WorkOS

Role Description

The Data team at WorkOS plays a central role on the company operations to ensure information and insights are accurate and available from any surface, whether that's a visualization tool or an agent's response, to accelerate company growth and scale. The team owns WorkOS's internal data platform end to end:

• Ingestion
• Orchestration
• Snowflake warehouse
• dbt transformations
• Governance and access controls

We also own the consumption layer:

• The reverse-ETL syncs that land data in Salesforce and Slack
• The semantic views that agents query
• The definitions that keep reporting consistent across the company
• The visualization tooling the company uses

We're hiring a Data Engineer to own and evolve the systems that move, transform, protect, and serve data across our internal warehouse. This is a high-ownership role on a lean team:

• You will be the DRI for the platform and its core data models
• Partner directly with Product Engineering, RevOps, Finance, GTM Engineering, and Security
• Raise the bar on reliability, correctness, and operational rigor

The role spans the platform and what runs on it. You will own:

• Ingestion, orchestration, and access governance
• The dbt models and metric definitions that depend on them
• How AI is applied across the data stack

Responsibilities

• Own the reliability, freshness, and scaling of the ingestion and orchestration pipelines that land source data in Snowflake, including monitoring, alerting, runbooks, and backfill and reprocessing patterns
• Design, build, and scale the core dbt models (Bronze, Silver, Gold) for billing and usage, CRM, product events, and GTM funnel reporting
• Partner with Product, Finance, RevOps, and GTM to define metrics and codify them in the warehouse, and diagnose and resolve data quality and freshness issues at source, not just downstream
• Own Snowflake RBAC, dynamic masking, and PII classification for humans, agents, and service accounts
• Own the reverse-ETL layer and the runbooks that deliver warehouse data to Salesforce, Slack, and internal agents
• Extend the semantic views, context, and evaluations that let agents answer business questions accurately
• Build and advance the CI/CD review gates in the data-platform monorepo
• Own the infrastructure the data platform runs on

Qualifications

• 5+ years (or equivalent) building and operating production data platforms, including the transformation layer
• Deep experience with Snowflake, dbt, and an orchestrator such as Prefect, Airflow, or Dagster
• Experience running data systems in production: monitoring, alerting, debugging, incident response habits, and pragmatic SLO/SLA thinking
• Experience with warehouse access governance: RBAC, masking policies, and PII handling
• Strong data modeling judgment and an understanding of schema evolution
• Strong SQL and Python; disciplined engineering practices (tests, docs, reviews, CI/CD)
• Proven experience operating as the only engineer on a layer
• Working knowledge of how GTM, Finance, and Product teams operate
• Comfortable using LLMs and coding agents as part of your day-to-day development workflow
• A systems thinker who reasons carefully about freshness, correctness, and failure modes
• Pragmatic: you start with the simplest solution that works, prove it, then scale it
• You look for where AI can remove a bottleneck for the people and agents who depend on the warehouse

Benefits

• Healthcare coverage for you and your family, including medical, dental, and vision
• Parental leave
• Paid-time off and fully remote working arrangements
• 401k matching
• Competitive Equity
• FSA, ST/LT Disability, Voluntary Life
• Carrot fertility benefits
• 20 days paid vacation + 10 holidays + unlimited sick leave
• 12 weeks fully paid parental leave
• Fitness: Monthly stipend for gyms, yoga classes, race registrations
• Wellness: Monthly stipend for a massage, meditations class, therapy
• Commuter benefits for hybrid employees in SF/NYC
• Unlimited token usage!