Senior Software Engineer - Data Onboarding - Seattle

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.

This backend role is centered on developing workflows to help customers connect their data and to configure the ingestion of that data with little to no human intervention. You will be a key part of the onboarding experience for customers as well as Haus’s efforts to scale and efficiently service an ever-expanding customer base.

The Data Onboarding team is part of Haus's Data Platform, which powers the entire incrementality platform: every causal experiment, every marketing mix model, every dollar of ad spend we help customers reallocate runs on systems this team builds. Under the hood, that platform is a set of distributed backend services — ingestion from dozens of ad-network APIs, customer warehouses, and partner tools; normalization and validation layers; orchestration and observability infrastructure — feeding a BigQuery whose models must be correct, because our customers make million-dollar decisions on the outputs.

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  Join the team responsible for accessing, ingesting, and validating customer data

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  Build, maintain and extend long-running workflows, APIs, data pipelines, customer-facing UIs, and scripts used in automatic and manual data ingestion flow

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  Contribute to AI (MCP) services owned by the team

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  Partner with Customer Success teams to build custom data models for customers

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  Participate in an on-call rotation

   

• 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

• Experience with React and/or other frontend frameworks

• Experience with Fivetran/Airbyte and Terraform

• Experience integrating with commerce platforms: Shopify, Amazon Seller / Vendor

• Earlier stage startup experience

• You're passionate about automating data ingestion and processing workflows

• You're equally strong at backend engineering: production services, APIs, distributed systems.

• You are passionate about customer experience and think deeply about solving customer pain points in an efficient and scalable way