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2 дня назад

Senior Data Engineer (AI)

150 000 - 190 000$
Формат работы
onsite
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

Senior Data Engineer (AI): Architecting and operating next-generation data platforms that empower research, systematic trading, AI, and risk analytics with an accent on 24x7 reliability, IaC-driven deployments, and high-throughput pipelines. Focus on building high-performance Lakehouse tables, exposing curated datasets via robust APIs, and optimizing workflows for aggressive SLAs.

Location: New York, New York, United States (Onsite)

Salary: $150,000–$190,000

Company

hirify.global is a global multi-manager hedge fund that strives to deliver industry-leading risk-adjusted returns for investors.

What you will do

  • Architect and operate the data platform with 24x7 reliability, IaC-driven deployments, and tight cost controls.
  • Build and evolve batch and streaming pipelines ingesting billions of market-data events daily.
  • Architect high-performance, cost-efficient Lakehouse tables.
  • Expose curated datasets via robust, versioned APIs for quants and AI agents.
  • Optimize workflows to meet aggressive SLAs, embedding observability and automated data quality checks end-to-end.
  • Champion Infrastructure-as-Code with Git-driven CI/CD for every data asset.
  • Mentor junior engineers and enforce best-in-class coding standards.

Requirements

  • 7+ years building production data platforms with Python and SQL.
  • Deep expertise in big-data architecture: partitioning, sharding, columnar formats.
  • Hands-on experience with SingleStore/MemSQL, Spark/Flink/EMR, and event buses (Kafka/Kinesis).
  • Proven AWS skills plus Terraform / CloudFormation infrastructure-as-code mastery.
  • Experience delivering data services for AI/ML workloads and feature pipelines.
  • Performance-tuning Postgres, SingleStore/MemSQL, or KDB for sub-second queries.
  • Proficient in API design, versioning, and OpenAPI/Swagger documentation.

Nice to have

  • Market-data domain expertise (tick, options, macro).
  • Mastery of Iceberg, Delta Lake, or Hudi on S3.
  • Experience building AI/ML feature stores or RAG pipelines.

Culture & Benefits

  • Inclusive culture that values diverse backgrounds and voices.
  • Investment in talent, fostering continuous learning, innovation, and the pursuit of ambitious goals.
  • Teamwork-oriented, collaborative environment that encourages ideas at all levels.
  • Learning and educational offerings and opportunities to make an impact.
  • Community building through internal networks, external partnerships, and service initiatives.
  • Competitive benefits package.

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