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6 дней назад

Data Engineer II (Healthcare)

138 000 - 160 000$
Формат работы
hybrid
Тип работы
fulltime
Грейд
middle
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
Data Engineer II (Healthcare): Building and optimizing data pipelines and reusable datasets for healthcare analytics, business intelligence, marketing, and data science with an accent on scalable data processing, data quality, and privacy. Focus on designing federated validation frameworks, tuning SQL and warehouse queries, and protecting sensitive healthcare data across AWS-based systems.

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

Salary: $138,000–$160,000 per year, plus equity incentives and benefits.

Company

hirify.global uses clinical metrics, healthcare data, incentives, and AI to help employers and members access higher-quality care while reducing healthcare costs.

What you will do

  • Build, optimize, and maintain data pipelines powering business operations.
  • Define reusable, abstracted datasets for Business Intelligence, Marketing, and Data Science Research.
  • Design and promote a federated data validation framework to identify potential inconsistencies.
  • Apply data privacy and security best practices to protect user information.

Requirements

  • 2+ years of software or data engineering experience.
  • Expertise in Python, SQL, scalable data pipelines, query optimization, data modeling, and reusable datasets.
  • Experience with Airflow, PostgreSQL, and Snowflake.
  • Knowledge of distributed data processing, data warehousing, governance, quality, privacy, SQL tuning, medallion or event-driven architectures, and telemetry.
  • Familiarity with healthcare or insurance and data security, including HIPAA compliance.
  • Must work from the New York City office three days per week. Employment visa sponsorship is not available.

Nice to have

  • Experience with healthcare or insurance data.
  • Familiarity with Terraform, Argo, Spark, DuckDB, Iceberg, Airbyte, dbt, OpenSearch, OpenTelemetry, or Looker.

Culture & Benefits

  • Work on healthcare problems involving AI and systemic healthcare reform.
  • High ownership, autonomy, individual accountability, and mission-driven collaboration.
  • Ongoing coaching and feedback in a high-performance environment.
  • Flexible paid time off and medical, dental, and vision plan options.
  • 401(k) with company match, flexible spending accounts, Teladoc Health, and equity incentives.

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