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12 дней назад

Senior Data Engineer (Fintech)

Формат работы
remote (только USA)
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 (Fintech): Designing and building Alpaca's next-generation data platform for hundreds of millions of daily financial and operational events with an accent on low-latency streaming, CDC ingestion, lakehouse infrastructure, and open-source data technologies. Focus on operating Kubernetes-based infrastructure, scaling Apache Iceberg pipelines and distributed query engines, and ensuring platform reliability through monitoring, alerting, and incident response.

Location: Remote - Americas; 100% distributed and remote

Company

hirify.global provides agent-first brokerage infrastructure and developer-friendly APIs for stocks, ETFs, options, crypto, fixed income, and 24/5 trading.

What you will do

  • Design, build, and evolve core data platform infrastructure, including distributed query engines, orchestration, warehousing, and cataloging.
  • Own lakehouse infrastructure as code and manage deployments with Terraform and Ansible on Kubernetes.
  • Build and maintain low-latency streaming, CDC, and batch ingestion pipelines landing data in Apache Iceberg.
  • Develop a performant, self-service BI landscape for downstream teams and AI/agent interfaces.
  • Implement reliability practices covering monitoring, alerting, on-call rotations, incident response, maintenance windows, runbooks, and SLAs.
  • Partner with DevOps, Analytics Engineering, and other stakeholders to support new data requirements.

Requirements

  • 5+ years of Data Engineering experience, including 2+ years operating scalable, low-latency data platforms handling more than 100 million events per day.
  • Hands-on experience running data infrastructure on Kubernetes with Docker and Helm.
  • Production experience with Terraform, Ansible, and ArgoCD or equivalent tools.
  • Knowledge of distributed systems, open-source query engines such as Trino or Presto, object storage, and Apache Iceberg.
  • Experience with Kafka, Redpanda, Debezium, Airflow, Airbyte, Python, SQL, and Google Cloud Platform data services.
  • Ability to adapt infrastructure to rapidly changing requirements in a fast-paced startup environment.

Nice to have

  • Experience with semantic or metrics layers such as Cube, dbt, or Looker.
  • Familiarity with reverse ETL, data catalog and lineage, and data governance tooling, including Hightouch, OpenMetadata, DataHub, or Apache Ranger.

Culture & Benefits

  • Work in a globally distributed team of more than 400 members.
  • Competitive salary and stock options.
  • Health benefits.
  • One-time USD $500 home-office setup allowance for new hires.
  • USD $150 monthly stipend through a Brex Card.

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