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Staff Backend Engineer - Data Platform

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Staff Backend Engineer - Data Platform in USA

  • Haus Analytics
  • Full time
  • Email
  • Seattle, WA

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.

Salary: $240k - $260k/yr

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 Dy...

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