2 дня назад
Principal Backend Data Engineer (Python/BigQuery/dbt)
240 000 - 260 000$
Мэтч & Сопровод
Для мэтча с этой вакансией нужен Plus
Описание вакансии
Текст:
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
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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