Senior Software Engineer - Data Onboarding - Seattle

Uncover; Seattle (WA); On-site; USD 120,000 - 180,000; Full time

Benefits offered by this job

Flexible PTO

Equity

Health, dental, vision insurance

WFH stipend

Team events & offsites

Free Lunch

New Parent Leave

Job summary

Haus is building the data onboarding workflows and data platform powering ingestion from dozens of sources. You will implement scalable backend services and data pipelines to onboard customer data with minimal human intervention.

As a Backend Engineer on the Data Onboarding team, you will work with DP and AI services, support onboarding, and help scale processes for a growing customer base, including on-call rotation and close collaboration with Customer Success.

Qualifications

• 4+ years of experience building backend services & APIs.
• Proficiency in Python and SQL/dbt with modern orchestrators.
• Experience with cloud data lakehouse/warehouse (BigQuery, Databricks).
• Experience with cloud infrastructure (Google Cloud, AWS).

Responsibilities

• Join the team responsible for accessing, ingesting, and validating customer data.
• Build, maintain and extend long-running workflows, APIs, data pipelines, and dashboards.
• Contribute to AI (MCP) services owned by the team.
• Partner with Customer Success to build custom data models for customers.
• Participate in an on-call rotation.

Skills

Python

SQL/dbt

Backend APIs

Orchestrator workflows

BigQuery

Cloud infrastructures

Tools

Dagster

Airflow

Temporal

Databricks

Job description

About HausHaus 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.

The Role

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.

What you’ll do

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

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

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

Qualifications

• 4+ 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 Points

• 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 Might be a Great Fit If

• 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

What We Offer

We’re a high-performance, low-ego team operating in a fast-moving environment. We care deeply about our customers and expect everyone to take full ownership of their work — this is a place where high expectations fuel even higher growth.

If you thrive in ambiguity, take pride in raising the bar, and want to work alongside top-tier peers who challenge and support you, you'll find unmatched opportunities here. If you're looking for predictability or rigid structure or you prefer order-taking to go-getting, we’re probably not the right fit — and that’s okay. We work in small, mission-driven teams that prioritize inclusion, collaboration, and growth over hierarchy or red tape.

Some of our benefits include:

• Flexible PTO - take time when you need it!
• Equity – Startup environment with part-ownership in our successes
• Top of the line health, dental, and vision insurance - multiple plan options so you can pick what fits you best
• WFH stipend to support the set up you need to be productive
• Events & Offsites – opportunities to connect and celebrate in real life!
• Free Lunch – Grab a bite on us when you choose to work from the office (hub locations include SF, NYC and Seattle)
• New Parent Leave – take time to welcome your newest Hausmate

We value in-person collaboration at Haus and give preference to candidates within commuting distance of our offices in San Francisco, Seattle, and New York City.

Haus is an equal opportunity employer.

We make hiring decisions without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, age, disability, veteran status, or any other protected status.

We believe diverse perspectives make us stronger and are committed to an inclusive culture where everyone feels seen, heard, and empowered to contribute.

Bring your authentic self — we would love to hear from you.