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2 дня назад

Principal Backend Data Engineer (Python/BigQuery/dbt)

240 000 - 260 000$
Формат работы
hybrid
Тип работы
fulltime
Грейд
senior
Английский
b2
Страна
US
Вакансия из списка Hirify.GlobalВакансия из Hirify Global, списка международных tech-компаний
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Описание вакансии

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TL;DR
Principal Backend Data Engineer (Python/BigQuery/dbt): Building high-throughput ingestion services, distributed data pipelines, and trustworthy BigQuery/dbt warehouse models for a causal marketing platform with an accent on backend systems engineering and data engineering. Focus on designing exactly-once processing, idempotent backfills, schema evolution, data quality, lineage, and cost-effective analytical workloads.

Location: Hybrid in Seattle, Washington; preference for candidates within commuting distance of offices in San Francisco, Seattle, or New York City

Base salary: $240,000–$260,000 per year, excluding equity and benefits

Company

hirify.global provides an AI-driven causal marketing platform that helps businesses measure marketing performance, optimize advertising spend, and accelerate growth.

What you will do

  • Architect and build high-throughput backend services for ingesting data from ad-network APIs, customer warehouses, and partner tools.
  • Develop normalization, validation, data-contract, orchestration, and observability systems for the data platform.
  • Design and operate BigQuery and dbt warehouse models, data-quality frameworks, lineage, and cost/performance improvements.
  • Solve distributed-systems challenges including exactly-once semantics, idempotent reprocessing, backfills, schema evolution, and unreliable third-party APIs.
  • Set standards for testing, API design, code review, observability, and CI/CD across the engineering team.
  • Set technical direction, mentor senior engineers, and align architecture with engineering, product engineering, and data science.

Requirements

  • 10+ years of software engineering experience with deep backend and data expertise.
  • Expert-level Python experience building production services and strong experience with APIs and distributed systems.
  • Hands-on experience with a cloud data warehouse or lakehouse; BigQuery is preferred, with Snowflake, Databricks, or Iceberg-based stacks also relevant.
  • Deep SQL and dbt experience, including schema design, analytical query correctness, performance, and schema evolution.
  • Staff-level technical leadership experience, including setting direction across workstreams and writing design documents.
  • Excellent written and verbal communication with engineering, product, and executive stakeholders.

Nice to have

  • Contributions to open-source data frameworks or tooling such as Apache Spark, Beam, Iceberg, or Arrow.

Culture & Benefits

  • High-performance, low-ego environment with strong ownership and a focus on customer impact.
  • Small, mission-driven teams that prioritize inclusion, collaboration, and growth.
  • Flexible paid time off, equity, and health, dental, and vision insurance.
  • Work-from-home stipend and opportunities for in-person events and offsites.
  • Free lunch when working from the office and new parent leave.

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