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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 within 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 Data 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
You'll be a key part of scaling Haus's ability to efficiently onboard and service an expanding customer base. The team operates in a high-performance, low-ego environment with small, mission-driven squads that prioritize inclusion, collaboration, and growth. Haus values in-person collaboration and gives preference to candidates within commuting distance of SF, Seattle, or NYC offices.
QUALIFICATIONS:
- 5+ years experience building backend services and 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
- Integrations with commerce platforms (Shopify, Amazon Seller/Vendor)
- Earlier-stage startup experience
