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Staff Backend Engineer - Data Platform

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Staff Backend Engineer - Data Platform in USA

  • Haus Analytics
  • Full time
  • Email
  • San Francisco, CA

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.

Salary: $180k - $220k/yr

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 Dy...

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