WorkOS

WorkOS

Data Engineer

United States & Canada · Senior

Sponsorship not specifiedDetected 17 days ago
PythonSQLPostgreSQLSnowflakeAWSKubernetesTerraformCI/CDAirflowdbtData EngineeringLLMsAgentic AIA/B TestingIncident ResponseSalesforceCRMCollaboration

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odds of building a lasting career here

37Risky
Cap-exempt (no lottery)0
Sponsors this role80
Entry-level history0
PERM / green-card track0
Lottery odds40
Fits your clock70

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Employer immigration record

from this employer's Department of Labor filings

Files H-1B transfers

3 transfer filings in the last year, covering 3 workers. Median labor-condition decision: 7 days. An employer that already files transfers is one that can take over an existing H-1B.

Sourced from Department of Labor LCA, PERM and prevailing-wage disclosure data. Employer matching is by name, so figures may be split across an employer's legal entities. Absence of a filing means none appears in our copy of the data, not that none exists.

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About the role

  • 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.
  • We trust each other's expertise, we work out loud and in the open, and not opposed to rapid experimentation to get to the right solution for the business.
  • The role spans the platform and what runs on it.

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, so sensitive data is protected without blocking legitimate use, and review DDL and access requests from Engineering and GTM
  • Own the reverse-ETL layer and the runbooks that deliver warehouse data to Salesforce, Slack, and internal agents
  • Build and advance the CI/CD review gates in the data-platform monorepo, including the automated review that agent-authored pull requests pass through
  • Own the infrastructure the data platform runs on: the compute, deployments, secrets and access patterns, and environments behind ingestion and orchestration, with attention to availability and failure modes, in partnership with our infrastructure engineers
  • You look for where AI can remove a bottleneck for the people and agents who depend on the warehouse, and you build the durable tools and workflows they rely on every day

Requirements

  • Deep experience with Snowflake, dbt, and an orchestrator such as Prefect, Airflow, or Dagster, and with ingesting data from production databases and SaaS sources, including backfill and reprocessing patterns
  • 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
  • Proven experience operating as the only engineer on a layer, balancing foundational architecture with urgent business needs
  • Working knowledge of how GTM, Finance, and Product teams operate in addition to working with Engineering, and experience translating ambiguous business questions into technical specs
  • 5+ years (or equivalent) building and operating production data platforms, including the transformation layer

Skills

  • About WorkOS 🚀
  • WorkOS powers enterprise features for many of the fastest-growing AI companies, including OpenAI, Cursor, and Perplexity, Sierra, and Plaid.
  • As AI reshapes software, WorkOS is at the frontier of Human and Agent Authentication,
  • Identity, and Access Control helping companies answer a new critical question:
  • who are your agents, and what are they allowed to do?

Benefits

  • Competitive Equity
  • Healthcare, dental and vision coverage
  • FSA, ST/LT Disability, Voluntary Life
  • Carrot fertility benefits
  • 20 days paid vacation + 10 holidays + unlimited sick leave
  • 12 weeks fully paid parental leave
  • Automating masking coverage as new data sources arrive, so adding a new table no longer needs a human in the loop
  • Commuter benefits for hybrid employees in SF/NYC

Company info

  • ingestion, orchestration, the 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, and the visualization tooling the company uses (ask us about Flashboards https://workos.com/blog/reporting-tool-with-no-editor).
  • We run on an agent-first operating system:
  • we are a lean team that moves fast, we document so agents can execute, and AI agents query the warehouse, run our runbooks, and open pull requests alongside us.
  • We're hiring a Data Engineer to own and evolve the systems that move, transform, protect, and serve data across our internal warehouse.
  • We run on an agent-first operating system: we are a lean team that moves fast, we document so agents can execute, and AI agents query the warehouse, run our runbooks, and open pull requests alongside us.

Equal opportunity

  • Employer
  • WorkOS is an equal opportunity employer, committed to diversity and inclusiveness. We will consider all qualified applicants without regard to race, color, nationality, gender, gender identity or expression, sexual orientation, religion, disability or age.
  • We may use artificial intelligence (AI) tools to support parts of the hiring process, such as reviewing applications, analyzing resumes, or assessing responses. These tools assist our recruitment team but do not replace human judgment. Final hiring decisions are ultimately made by humans. If you would like more information about how your data is processed, please contact us.
  • WorkOS is an equal opportunity employer, committed to diversity and inclusiveness.
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This listing is sourced directly from WorkOS's careers page and normalized into a canonical job model.