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

51 - 200 employees

Founded 2019

🔌 API

🏢 Enterprise

🤝 B2B

💰 $80M Series B - WorkOS on 2022-05

API • Enterprise • B2B

WorkOS is a developer-focused platform that provides APIs, SDKs, and hosted admin tools to help SaaS applications become enterprise-ready. It abstracts and normalizes enterprise integrations — including Single Sign-On (SAML/OIDC), SCIM/HRIS directory sync, multi-factor auth, role-based access control, audit logs, and encryption key management — so engineering teams can add enterprise features quickly with minimal custom work. WorkOS targets B2B SaaS companies selling to enterprise customers, offering developer-first docs, sample SDKs, and a hosted Admin Portal for IT admins.

📋 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