Staff Backend Engineer - Data Platform- San Francisco
Haus Analytics4 hours ago
Base Salary
$180k - $220k/yr
Responsibilities
- Access, ingest, normalize, and validate customer data.
- Build and maintain long-running workflows, APIs, data pipelines, customer-facing UIs, and scripts for automated and manual ingestion.
- Contribute to the team’s AI MCP services.
- Partner with Customer Success to build 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 lakehouse or warehouse platforms such as BigQuery or Databricks.
- Experience with cloud infrastructure on Google Cloud and AWS.
- Preferred experience with React or other frontend frameworks, Fivetran or Airbyte, Terraform, and commerce platforms such as Shopify or Amazon Seller/Vendor.
- Startup experience is a bonus.
Benefits
- Flexible PTO.
- Equity.
- 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; the company values in-person collaboration.
Categories
BackendData Engineering
About Haus Analytics
Haus is the causal marketing platform top businesses trust to optimize billions in ad spend worldwide. With support from PhD economists, data scientists, and growth experts, Haus’ AI-driven technology translates complex marketing measurement into clear action and outcomes, enabling brands like Dyson, Wayfair, Sonos, Fanduel, SharkNinja, and Intuit to optimize spend, accelerate growth, and make smarter marketing decisions at scale. Haus was named a LinkedIn Top Startup in 2024 and 2025 and has been featured in outlets like AdExchanger, Axios, Business Insider, Marketing Brew, and Wall Street Journal.