Staff Backend Engineer - Data Platform- San Francisco
Haus Analytics4 hours ago
Base Salary
$240k - $260k/yr
Responsibilities
- Architect and build high-throughput backend ingestion services, normalization services, data contracts, and the platform control plane.
- Solve distributed-systems problems involving exactly-once semantics, idempotent reprocessing and backfills, schema evolution, and flaky third-party APIs.
- Own lakehouse and warehouse schema design, data models, dbt architecture, data quality frameworks, lineage, and BigQuery cost and performance.
- Set the team’s engineering standards for testing, API design, code review, observability, and CI/CD.
- Drive architectural decisions across the GCP, BigQuery, dbt, and Python stack.
- Partner with engineering leadership, product engineering, and data science teams; mentor senior engineers and influence broader data strategy.
Requirements
- 10+ years of software engineering experience with deep backend and data expertise.
- Hands-on experience with a cloud data warehouse or lakehouse; BigQuery is preferred, with Snowflake, Databricks, or Iceberg-based stacks also accepted.
- Deep SQL and dbt experience, including designing evolving schemas and optimizing complex analytical queries.
- Expert-level Python experience building production services.
- Track record of Staff-level technical leadership across multiple workstreams, including setting direction and writing design documents.
- Strong written and verbal communication skills for defending technical decisions to engineering, product, and executive stakeholders.
- Candidates should be strong in both backend engineering and data engineering; experience limited to SQL/dbt transformations, BI, analytics engineering, or operating data tools without building underlying production systems is not sufficient.
- Open-source contributions to Apache Spark, Beam, Iceberg, Arrow, or similar data frameworks are a bonus.
Benefits
- Flexible PTO.
- Equity in the startup.
- Health, dental, and vision insurance with multiple plan options.
- WFH stipend.
- Events and offsites.
- Free lunch when working from the San Francisco, New York, or Seattle office hubs.
- New parent leave.
- In-person collaboration is valued, with preference for candidates within commuting distance of offices in San Francisco, Seattle, and New York City.
Tech Stack
Apache AirflowApache BeamApache SparkDatabricksdbtGoogle BigQueryGoogle Cloud PlatformPythonSnowflakeSQL
Categories
BackendData Engineering
About Haus Analytics
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. Haus was named a LinkedIn Top Startup in 2024 and 2025 and has been featured in outlets like AdExchanger, Axios, Business Insider, Marketing Brew, and Wall Street Journal.