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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): Building and scaling data pipelines, ingestion frameworks, and platform components for analytics, reporting, and downstream AI/ML use cases with an accent on distributed data processing, governance, and platform reliability. Focus on optimizing mature data platforms, solving complex scalability and production issues, and designing governed datasets, feature stores, and streaming access for model training and inference.

Location: Hybrid in Dallas, Texas. Applicants must be authorized to work for any employer in the United States.

Company

hirify.global provides insurance products and operates a regulated enterprise data environment supporting analytics and AI/ML initiatives.

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, feature stores, curated datasets, and streaming access for AI/ML readiness.
  • Review code and designs, establish engineering standards, and mentor other data engineers.
  • Partner with data, product, and engineering stakeholders on platform architecture, tooling, and roadmap decisions.

Requirements

  • U.S. work authorization for any employer is required; visa sponsorship is not available.
  • Bachelor’s degree in a related field or equivalent experience.
  • 7+ years of data engineering experience with large-scale, mature data platforms.
  • Deep experience in data pipeline design, distributed processing, performance optimization, and cloud data platforms.
  • Strong working proficiency in at least two of Python, Scala, and SQL.
  • Hands-on experience with Snowflake or Databricks, Azure Synapse Analytics or Microsoft Fabric, infrastructure as code, and CI/CD.

Nice to have

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

Culture & Benefits

  • Hands-on senior technical ownership with opportunities to mentor engineers and influence engineering practices.
  • Medical, dental, vision, and life insurance.
  • Short- and long-term disability coverage and an Employee Assistance Plan.
  • Company match of 100% on a 6% contribution to a 401(k) plan.
  • Health Savings Account, Flexible Spending Account, Health Reimbursement Account, and wellness program.
  • Professional development and advancement opportunities.

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