Staff Backend Engineer - Data Platform
Full-time
Haus Analytics
Responsibilities
- Access, ingest, normalize, and validate customer data.
- Build and maintain long-running workflows, APIs, data pipelines, customer-facing UIs, and ingestion scripts.
- Contribute to AI MCP services owned by the team.
- Partner with Customer Success to create custom customer data models.
- Participate in an on-call rotation.
Requirements
- At least 4 years of experience building backend services and APIs as a backend engineer, full-stack engineer, data engineer, or similar.
- Proficiency in Python and SQL/dbt.
- Strong fluency with a modern orchestrator such as Dagster, Airflow, or Temporal.
- Experience with cloud data lakehouses or warehouses such as BigQuery or Databricks.
- Experience with Google Cloud or AWS.
- React or another frontend framework is a bonus.
- Fivetran, Airbyte, Terraform, commerce platform integrations, and earlier-stage startup experience are bonus qualifications.
Benefits
- Flexible PTO.
- Equity in a startup environment.
- Health, dental, and vision insurance with multiple plan options.
- WFH stipend.
- Events and offsites.
- Free lunch when working from the office.
- New parent leave.
- Preference for candidates within commuting distance of offices in San Francisco, Seattle, or New York City, with an emphasis on in-person collaboration.
Vacancy posted 2 days ago
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