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Senior Software Engineer - Data Onboarding - Seattle

Haus Analytics - Seattle, WA, United States - Hybrid - posted 2026-08-27

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Haus Analytics is a causal marketing platform that helps top businesses optimize billions in ad spend worldwide using AI-driven technology and insights from PhD economists and data scientists. Customers include Dyson, Wayfair, Sonos, FanDuel, SharkNinja, and Intuit. You will join the Data Onboarding team, part of Haus's Data Platform, which powers the entire incrementality platform—every causal experiment, marketing mix model, and ad spend optimization decision runs on systems this team builds. The platform consists of distributed backend services handling ingestion from dozens of ad-network APIs, customer warehouses, and partner tools; normalization and validation layers; orchestration and observability infrastructure; and BigQuery models that drive million-dollar customer decisions. In this role, you will: - Build, maintain, and extend long-running workflows, APIs, data pipelines, customer-facing UIs, and scripts for automatic and manual data ingestion - Access, ingest, and validate customer data as part of the core onboarding experience - Contribute to AI (MCP) services owned by the team - Partner with Customer Success teams to build custom data models for customers - Participate in an on-call rotation Haus operates as a high-performance, low-ego team in a fast-moving environment with small, mission-driven teams prioritizing inclusion, collaboration, and growth. The company values full ownership, raising the bar, and working alongside top-tier peers. In-person collaboration is valued; the company has hub offices in San Francisco, Seattle, and New York City and gives preference to candidates within commuting distance. QUALIFICATIONS: - 5+ years experience building backend services & APIs (backend engineer, full stack engineer, data engineer, or similar) - Proficiency in Python and SQL/dbt, with strong fluency in a modern orchestrator (Dagster, Airflow, Temporal, etc.) - Experience with cloud data lakehouse/warehouse (BigQuery, Databricks, etc.) - Experience with cloud infrastructure (Google Cloud, AWS) BONUS: - React and/or other frontend frameworks - Fivetran/Airbyte and Terraform - Commerce platform integrations (Shopify, Amazon Seller/Vendor) - Earlier-stage startup experience

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