Data Engineer - Snowflake, DBT & AI-Driven Platform

WorkOS; San Francisco (CA); Remote; USD 175,000 - 240,000; Full time

Benefits offered by this job

401k matching

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

Fitness stipend

Wellness stipend

Commuter benefits for hybrid employees

Unlimited token usage!

Job summary

WorkOS is hiring a Data Engineer to own and evolve the data platform that ingests, orchestrates, and serves data across Snowflake. You will partner with Product, RevOps, Finance, and GTM to define metrics, ensure data quality, and scale pipelines for reliable enterprise-ready insights.

The role emphasizes ownership of ingestion, orchestration, access governance, and the runbooks that feed Salesforce, Slack, and internal agents.

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, 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.
• Comfortable using LLMs and coding agents as part of your day-to-day development workflow, with the judgment to validate their output and scale it into shared processes, and embracing AI and automation to scale platform work and accelerate your teammates.

Responsibilities

• Own the reliability, freshness, and scaling of ingestion and orchestration pipelines landing source data in Snowflake.
• 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 issues at source.
• 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 semantic views, context, and evaluations for agents to 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: compute, deployments, secrets and access patterns, in partnership with infrastructure engineers.

Skills

SQL

Python

Data modeling

Monitoring & alerting

SLO/SLA thinking

RBAC & data governance

AI/agents experience

Tools

Snowflake

dbt

Prefect

Airflow

Dagster

Job description

WorkOS is hiring a Data Engineer to own and evolve the data platform that ingests, orchestrates, and serves data across Snowflake. You will partner with Product, RevOps, Finance, and GTM to define metrics, ensure data quality, and scale pipelines for reliable enterprise-ready insights.

The role emphasizes ownership of ingestion, orchestration, access governance, and the runbooks that feed Salesforce, Slack, and internal agents.