WorkOS
Data Engineer
$175K–$240K
United States & Canada · Remote · Full-time · Posted Oct 6, 2026
- Experience
- 5+ years (or equivalent) building and operating production data platforms, including the transformation layer.
About the job
Own and evolve WorkOS’s internal data platform, from ingestion and warehouse models to governance, reverse ETL, and AI-enabled data access.
What you'll do
- Operate reliable ingestion and orchestration pipelines, including monitoring, alerting, runbooks, backfills, and reprocessing.
- Build and maintain Snowflake and dbt models, metric definitions, and access governance; resolve data quality issues with business teams.
- Deliver warehouse data to Salesforce, Slack, and agents, and improve semantic views and CI/CD workflows for AI-assisted data operations.
What they ask for
- 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, plus production database and SaaS data ingestion.
- Production operations experience, including monitoring, alerting, debugging, incident response, and SLO/SLA thinking.
- Experience with warehouse access governance, including RBAC, masking policies, and PII handling.
Pay
$175K – $240K (base salary)
Tools
Snowflake, dbt, Prefect, Airflow, Dagster, SQL, Python, Terraform
AI focus
Apply AI across the data stack so agents can discover and use trusted data, answer business questions through semantic views, operate runbooks, and contribute pull requests; use LLMs and coding agents in development workflows.
Model-written summary · the original posting is authoritative