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4 дня назад

Staff Engineer (Data Systems)

236 000 - 339 200$
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

Staff Engineer (Data Systems/AI): Building and optimizing declarative streaming transformation primitives for Dynamic Tables with an accent on incremental view maintenance and query optimization. Focus on designing high-performance incrementalization semantics and scaling database systems to petabyte-scale data.

Location: Hybrid (Bellevue, WA, US)

Salary: $236K – $339.2K

Company

hirify.global is a cloud-based data platform powering the agentic enterprise era through AI-native data solutions.

What you will do

  • Lead the design and implementation of performance improvements for the incremental view maintenance engine, including multi-join incrementalization and window functions.
  • Define the roadmap for the incremental view maintenance engine, prioritizing scalability and correctness milestones.
  • Collaborate across teams to co-design architecture improvements that benefit incremental pipelines.
  • Mentor engineers and lead design reviews to raise the technical bar for the team.
  • Contribute to research and publications for top-tier database conferences such as SIGMOD and VLDB.

Requirements

  • 10+ years of experience building and optimizing large-scale data systems.
  • Deep expertise in query optimization, incremental/stream processing, or materialized view maintenance.
  • Strong computer science fundamentals in algorithms, data structures, and distributed systems design.
  • Proficiency in C++ or Java with experience in systems-level performance analysis (profiling, benchmarking).
  • Experience operating multi-tenant SaaS systems at cloud scale with petabyte-scale data.
  • Must be based in or able to work from Bellevue, WA

Nice to have

  • Experience with major analytical DBMS such as BigQuery, Redshift, Databricks, or Oracle.
  • Familiarity with stream processing algorithms and CDC pipelines.
  • Experience with data lake architectures (Iceberg, Delta) or the data engineering ecosystem (dbt, Airflow).
  • Advanced degree (MS or PhD) in Computer Science focusing on database systems.

Culture & Benefits

  • Opportunity to work on one of the fastest-growing products within the hirify.global ecosystem.
  • Active presence in the academic research community and top-tier database conferences.
  • Dynamic and fast-moving environment that encourages an experimental mindset and AI-collaboration.
  • Equal opportunity employer providing a scalable growth environment.

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