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1 день назад

Senior Data Engineer (AI/ML)

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
Senior Data Engineer (AI/ML): Designing and scaling data pipelines, ingestion frameworks, and platform components for analytics, reporting, and downstream AI/ML use cases with an accent on distributed processing, data governance, and platform reliability. Focus on optimizing mature data platforms, resolving complex production issues, building infrastructure as code, and providing technical leadership through architecture reviews and mentoring.

Location: Cincinnati, Ohio; hybrid

Company

hirify.global provides insurance products and operates a regulated enterprise data environment.

What you will do

  • Design, build, and optimize data pipelines, ingestion frameworks, and platform components for analytics, reporting, and AI/ML use cases.
  • Own complex engineering initiatives from technical design through implementation and rollout.
  • Identify and resolve performance, scalability, reliability, and production issues across the data platform.
  • Improve data models, governance, access patterns, and AI/ML readiness, including feature stores, curated datasets, and streaming access.
  • Write tested, documented code and infrastructure as code while maintaining engineering standards.
  • Review architecture and code, mentor engineers, and partner with the Director of Data Engineering and cross-functional stakeholders.

Requirements

  • Applicants must be authorized to work for any employer in the United States.
  • Visa sponsorship and takeover of existing work authorization are not available now or in the future.
  • Seven or more years of data engineering experience with large-scale, mature data platforms.
  • Strong expertise in data pipelines, distributed processing, cloud data platforms, and modern warehouse or lakehouse architectures.
  • Proficiency in at least two of Python, Scala, and SQL, plus experience with Snowflake or Databricks and Azure Synapse Analytics or Microsoft Fabric.
  • Experience with infrastructure as code, CI/CD, modular notebook-based development, data governance, security, and compliance.

Nice to have

  • Experience designing agentic workflows for data engineering.
  • Experience with Property & Casualty insurance carriers.
  • Experience with Data Vault 2.0 or Ensemble data modeling.

Culture & Benefits

  • Hybrid work environment with a small, focused Data Engineering team.
  • Opportunities for professional development, advancement, mentoring, and technical influence.
  • Medical, dental, vision, and life insurance.
  • Short- and long-term disability coverage, Employee Assistance Plan, wellness program, HSA, FSA, and HRA.
  • Company match of 100% on employee contributions up to 6% of a 401(k) plan.

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