The Role

Haus's data engineering team powers the entire incrementality platform - every causal experiment, every marketing mix model, every dollar of ad spend we help our customers reallocate runs on the pipelines this team builds. We are looking for a Staff Software Engineer to set the technical direction for how Haus ingests data from ad networks, customer warehouses, and partner tools, and how we normalize it into a clean, trustworthy foundation for our data science research and customer-facing products. You will be the senior-most IC on a 6-10 person team, partnering directly with engineering leadership, data science, and product teams to make Haus's data platform a durable competitive advantage.

What you'll do

• Be the tech-lead and architect for Haus's data ingestion and normalization platform - ad network APIs (Google, Meta, TikTok, Amazon, etc.), Fivetran connectors, and customer warehouses (Snowflake, BigQuery) - balancing throughput, cost, and reliability.
• Design and lead implementation of high-leverage systems: schema evolution, data contracts, DQ frameworks, idempotent backfills, lineage, time-travel, data reproducibility and pipeline observability.
• Drive architectural decisions in our GCP / BigQuery / dbt stack - build vs. buy, what to standardize, what to deprecate - and write the design docs that align Engineering, DS, and Product teams.
• Raise the engineering bar through code review, design review, and mentorship; level up Senior engineers and unblock the team on the hardest problems.
• Partner with data science to translate fuzzy modeling and research needs into pipeline contracts and SLAs that downstream teams can trust.
• Own incident response and post-mortems for critical pipeline failures; turn one-off fires into systemic fixes.
• Drive design and implementation of AI (Agentic) workflows for data quality and analytics
• Influence the broader engineering org's data strategy.

Qualifications

• 10+ years of software engineering experience, with at least 4 years building production data platforms at meaningful scale (terabytes/day, hundreds of pipelines, or comparable).
• Track record of Staff-level technical leadership: setting direction across multiple workstreams, writing design docs others build from, and mentoring senior engineers.
• Deep expertise in Python and SQL/dbt, with strong fluency in a modern orchestrator (Dagster, Airflow, Temporal, etc) and a cloud data warehouse (BigQuery, Snowflake, etc).
• Demonstrated ownership of a non-trivial data platform - schema design, schema evolution, data quality, lineage, cost, and reliability - not just writing pipelines, but designing the system the pipelines live in.
• Strong product judgment - comfortable working with DS, ML, or analytics consumers and translating their needs into clean data contracts.
• Excellent written and verbal communication; able to defend technical decisions to engineering, product, and exec stakeholders.

Bonus Points

• Background contributing to or maintaining open-source data tooling/frameworks (Apache Spark, Apache Beam, Apache Iceberg).
• Experience building AI Agents in a data platform setting.

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.