Data Engineer

🕒 September 22

🌐 United States, Canada – Remote

🇺🇸 United States – Remote 🇨🇦 Canada – Remote

💵 $175k - $240k / year

⏰ Full Time

🟡 Mid-level

🟠 Senior

🚰 Data Engineer

🦅 H1B Visa Sponsor

This company has sponsored H1B visas in the past.

👻 Ghost score 20%

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WorkOS

WebsiteLinkedInAll Job Openings

11 - 50 employees

Founded 2020

☁️ SaaS

🔐 Security

🏢 Enterprise

SaaS • Security • Enterprise

WorkOS is a company that provides enterprise-level software solutions designed to help developers integrate single sign-on (SSO), directory synchronizations, and user management into their applications. By offering a developer-first approach with modern APIs, WorkOS enables companies to implement enterprise features like authentication and authorization quickly and with fewer resources, thereby facilitating expansion into the enterprise market. WorkOS serves as a comprehensive platform catering to the security and administrative needs of enterprise customers, offering services such as multi-factor authentication, fine-grained authorization, and robust API documentation to streamline integration processes for businesses.

📋 Description

• Own reliability, freshness, and scaling of ingestion and orchestration pipelines landing source data in Snowflake • Build monitoring, alerting, runbooks, and backfill/reprocessing patterns • Design, build, and scale Bronze, Silver, and Gold dbt models for billing, usage, CRM, product events, and GTM funnel reporting • Define metrics with Product, Finance, RevOps, and GTM teams and codify them in the warehouse • Diagnose and resolve data quality and freshness issues at the source • Own Snowflake RBAC, dynamic masking, PII classification, DDL reviews, and access requests • Own reverse-ETL delivery of warehouse data to Salesforce, Slack, and internal agents • Extend semantic views, context, and evaluations for accurate agent answers • Expand agent-operated workflows from runbooks and ingestion to pull requests • Build and advance CI/CD review gates, including automated review for agent-authored pull requests • Own data-platform infrastructure, including compute, deployments, secrets, access patterns, and environments • Partner with Product Engineering, RevOps, Finance, GTM Engineering, Security, and infrastructure engineers

🎯 Requirements

• 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 ingesting data from production databases and SaaS sources, including backfill and reprocessing patterns • Experience with 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 understanding of schema evolution • Strong SQL and Python • Disciplined engineering practices including tests, documentation, reviews, and CI/CD • Proven experience operating as the only engineer on a layer • Working knowledge of GTM, Finance, and Product team operations • Experience translating ambiguous business questions into technical specifications • Comfortable using LLMs and coding agents in day-to-day development, validating their output and scaling it into shared processes • Systems thinking around freshness, correctness, and failure modes • Pragmatic approach to building and scaling solutions • Legally authorized to work in the United States or Canada

🏖️ Benefits

• Healthcare coverage for you and your family, including medical, dental, and vision • Parental leave • Paid time off • 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 • Monthly fitness stipend • Monthly wellness stipend • Commuter benefits for hybrid employees in SF/NYC • Unlimited token usage

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