1 день назад
Staff Software Engineer (Data Engineering)
240 000 - 260 000$
Мэтч & Сопровод
Для мэтча с этой вакансией нужен Plus
Описание вакансии
Текст:
TL;DR
Staff Software Engineer (Data Engineering): Building and directing Haus's data ingestion and normalization platform for ad networks, customer warehouses, and data science products with an accent on reliability, data quality, and scalable architecture. Focus on designing schema evolution, data contracts, observability, reproducible pipelines, and AI Agent workflows for data quality and analytics.
Location: Hybrid in Seattle, Washington, with preference for candidates within commuting distance of offices in San Francisco, Seattle, or New York City
Salary: $240,000–$260,000 annual base salary, excluding equity and benefits
Company
provides an AI-driven causal marketing platform that helps businesses measure and optimize advertising spend.
What you will do
- Set the technical direction and architect the data ingestion and normalization platform for ad networks, Fivetran connectors, and customer warehouses.
- Design systems for schema evolution, data contracts, data quality, idempotent backfills, lineage, time-travel, reproducibility, and pipeline observability.
- Lead architectural decisions across the GCP, BigQuery, and dbt stack, including build-versus-buy decisions and platform standardization.
- Translate data science and research needs into reliable pipeline contracts and SLAs.
- Raise engineering standards through design reviews, code reviews, mentorship, and technical leadership across multiple workstreams.
- Own incident response and post-mortems for critical pipeline failures and drive AI Agent workflows for data quality and analytics.
Requirements
- 10+ years of software engineering experience, including at least 4 years building production data platforms at meaningful scale.
- Staff-level technical leadership experience, including setting direction, writing design documents, and mentoring senior engineers.
- Deep expertise in Python and SQL/dbt, plus fluency with a modern orchestrator such as Dagster, Airflow, or Temporal.
- Strong experience with cloud data warehouses such as BigQuery or Snowflake and ownership of data platform architecture, quality, lineage, cost, and reliability.
- Strong product judgment and the ability to work with data science, machine learning, analytics, product, and executive stakeholders.
- Excellent written and verbal communication skills.
Nice to have
- Experience contributing to or maintaining open-source data tooling such as Apache Spark, Apache Beam, or Apache Iceberg.
- Experience building AI Agents in a data platform setting.
Culture & Benefits
- High-performance, low-ego environment with small, mission-driven teams.
- Flexible PTO, equity, and health, dental, and vision insurance with multiple plan options.
- Work-from-home stipend and opportunities for in-person events and offsites.
- Free lunch when working from the office in San Francisco, New York City, or Seattle.
- New parent leave and a culture focused on inclusion, collaboration, ownership, and growth.
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