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4 дня назад

Manager, Engineering (Data Platform)

310 000 - 385 000$
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

Текст:
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TL;DR
Manager, Engineering (Data Platform) (AI/Healthcare Data): Building reusable data abstractions, high-throughput pipelines, and distributed infrastructure for complex healthcare data with an accent on scalability, operational excellence, and AI-native development. Focus on leading data platform architecture, integrating batch and stream processing systems, and translating ambiguous business requirements into composable technical roadmaps.

Location: New York City office; attendance required three days per week on Tuesday, Wednesday, and Thursday

Salary: $310,000–$385,000 per year, plus equity and benefits

Company

hirify.global is a healthcare technology company that uses clinical metrics, large-scale patient data, incentives, and AI to help employers improve care quality and reduce healthcare costs.

What you will do

  • Lead and manage the Data Platform Engineering team.
  • Own the design, implementation, and operational excellence of systems processing complex healthcare data.
  • Build scalable data abstractions, pipelines, and frameworks for growing enterprise data volumes.
  • Provide hands-on technical contributions, architecture guidance, data modeling standards, and design reviews.
  • Promote AI-native engineering practices and automate development and data operations with AI tools.
  • Partner with Engineering and Product, align priorities with OKRs, and mentor engineers through coaching and root cause analysis.

Requirements

  • 5+ years of hands-on engineering experience focused on big data, distributed systems, and infrastructure.
  • 2+ years of experience managing engineering teams and building high-performing teams.
  • Expertise with batch processing frameworks such as Hadoop, Spark, and EMR.
  • Experience with stream processing systems such as Kafka and RedPanda.
  • Proficiency with Temporal, Apache Iceberg, AWS Glue, dbt, and Soda, plus experience with Python, Snowflake, Airflow, Kubernetes, AWS, Terraform, or related platform technologies.
  • Willingness to work from the New York City office three days per week; healthcare data standards such as HIPAA and EDI are preferred.

Culture & Benefits

  • Mission-driven work focused on improving the U.S. healthcare system at scale.
  • High ownership, autonomy, urgency, and accountability in a fast-growing startup environment.
  • Consistent coaching and opportunities to develop through ambitious technical challenges.
  • Equity incentive plan and competitive benefits.
  • Flexible PTO and medical, dental, and vision plan options.
  • 401(k) and Teladoc Health benefits.

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