Staff Backend Engineer - Data Platform- San Francisco
Haus Analytics4 hours ago
Base Salary
$240k - $260k/yr
Responsibilities
- Architect and build backend services for high-throughput data ingestion, normalization, data contracts, and orchestration.
- Solve distributed-systems problems involving exactly-once semantics, idempotent reprocessing and backfills, schema evolution, and unreliable third-party APIs.
- Own lakehouse and warehouse schema design, data models, dbt architecture, data quality, lineage, and BigQuery cost and performance.
- Set engineering standards for testing, API design, code review, observability, and delivery practices.
- Drive architectural decisions across the GCP, BigQuery, dbt, and Python stack.
- Set technical direction, 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 considered.
- Deep SQL and dbt experience, including designing schemas for evolution and reasoning about analytical query correctness and performance.
- Expert-level Python experience building production services rather than only scripts or notebooks.
- 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.
- Experience spanning both production backend services and data pipelines is required; strength in only one area is insufficient.
- Contributions to Apache Spark, Beam, Iceberg, Arrow, or similar open-source data frameworks are a bonus.
Benefits
- Flexible PTO.
- Equity participation in the startup's success.
- Health, dental, and vision insurance with multiple plan options.
- WFH stipend.
- Events and offsites.
- Free lunch when working from the office in San Francisco, New York City, or Seattle.
- New parent leave.
- Preference for candidates within commuting distance of offices in San Francisco, Seattle, or New York City; the company values in-person collaboration.
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.