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1 день назад

Senior Data Engineer (AI)

130 000 - 170 000$
Формат работы
remote (только USA)
Тип работы
fulltime
Грейд
senior
Английский
b2
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): Building scalable data infrastructure, pipelines, and orchestration for predictive analytics in health insurance with an accent on healthcare datasets, compliance, and ML model support. Focus on designing ETL systems from diverse sources like EHRs and claims, transforming complex medical data into modeling-ready formats, and ensuring data quality and reliability.

Location: Fully remote

Salary: $130,000-170,000 base salary annually

Company

hirify.global revolutionizes group health and P&C insurance with AI-powered SaaS solutions using large data lakes for accurate risk prediction, profitability improvement, and underwriting automation.

What you will do

  • Design, build, and implement data systems supporting ML and AI models for health insurance clients, ensuring HIPAA compliance.
  • Develop tools for extracting, processing, and profiling healthcare data from EHRs, claims, pharmacy, and genomic sources.
  • Collaborate with data scientists to transform large health and bioinformatics datasets into modeling-ready formats with high data quality.
  • Build and maintain ETL infrastructure using SQL, AWS, Spark, and healthcare big data technologies.
  • Ensure pipelines handle unique requirements of medical and biological data processing.

Requirements

  • BS in Computer Science, Bioinformatics, or quantitative discipline with 4+ years relevant experience.
  • Deep expertise in health, medical, and bioinformatics data, including real-world healthcare datasets.
  • Proficiency in Python and SQL in professional settings.
  • Hands-on with big data tools like Apache Spark (PySpark), Databricks, Snowflake.
  • Experience with data orchestration: Airflow, Dagster, or Prefect.
  • Modern DevOps: CI/CD, IaC (Terraform), Docker/Kubernetes, AWS preferred.

Nice to have

  • Knowledge of data transformation tools like dbt.

Culture & Benefits

  • Fun, team-oriented startup culture.
  • Generous stock options.
  • Unlimited vacation days and flexible schedule supporting remote work.
  • Full benefits: medical, dental, vision, 401k, paid parental leave.
  • Ample learning opportunities and new responsibilities.

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