Staff Backend Engineer – Data Platform

Haus

Staff Backend Engineer building backend services and data pipelines for Haus’s causal marketing platform. Owning BigQuery/dbt architecture, reliability, and data trust at scale.

Posted 8/25/2026full-timeSeattle • Washington • 🇺🇸 United StatesLead💰 $240,000 - $260,000 per yearWebsite

Core Competencies

Role fit

Core Competencies

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Demonstrates extensive expertise in backend service architecture, cloud data warehouse design, and data modeling, with a strong focus on BigQuery and dbt. Proven ability to lead technical initiatives, mentor teams, and communicate effectively with stakeholders across engineering and product domains.

Highest-signal resume keywords

Backend Service ArchitectureBigQuery Data Warehouse DesignSQL/dbt Schema DesignExpert Python DevelopmentTechnical Leadership

ATS Keywords

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Applicant Tracking System Keywords

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Hard Skills

Backend EngineeringData ModelingCloud Data WarehouseSQLDbtPythonAPI DesignData Quality FrameworksObservability StandardsCI/CD Practices

Soft Skills

Excellent CommunicationMentoringInfluencing Stakeholders

Tools & Technologies

BigQueryGCPSnowflakeDatabricksIceberg

Industry Keywords

Data PlatformDistributed SystemsData ContractsIngestion from APIsSchema Evolution

Tech Stack

Tools & technologies

BigQueryCloudGoogle Cloud PlatformPythonSQL

About the role

Key responsibilities & impact

Architect and build backend services powering Haus’s data platform
Build high-throughput ingestion from third-party APIs
Develop normalization services, data contracts, and the orchestration control plane
Solve distributed-systems problems including exactly-once semantics, idempotent reprocessing and backfills, schema evolution, and resilient third-party API handling
Own lakehouse/warehouse schema and data-model design
Establish dbt architecture, data quality frameworks, lineage, and BigQuery cost/performance practices
Set testing, API design, code review, observability, and CI/CD standards
Drive architectural decisions across the GCP, BigQuery, dbt, and Python stack
Align with downstream engineering and data science teams
Mentor senior engineers and influence the broader organization’s data strategy
Partner with engineering leadership, product engineering, and data science as the senior-most individual contributor on a 6–10 person team

Requirements

What you’ll need

10+ years of software engineering experience, with deep backend and data expertise
Solid, hands-on experience with a cloud data warehouse or lakehouse; BigQuery preferred, or Snowflake, Databricks, or Iceberg-based stacks
Deep SQL/dbt experience, including schema design, correctness, and performance of complex analytical queries
Expert-level Python experience for building production services
Track record of Staff-level technical leadership across multiple workstreams
Experience writing design documents others build from
Excellent written and verbal communication; able to defend technical decisions to engineering, product, and executive stakeholders
Strong backend engineering and data experience
Contributions to open-source data frameworks or tooling are a bonus

Benefits

Comp & perks

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
New Parent Leave - take time to welcome your newest Hausmate
Small, mission-driven teams that prioritize inclusion, collaboration, and growth over hierarchy or red tape