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Senior Data Engineer (Healthcare)

180 000 - 220 000$
Формат работы
remote (только USA)
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 (Healthcare): Building and scaling production data pipelines that transform high-volume healthcare files into trusted canonical datasets with an accent on Python, Spark SQL, Airflow, data quality, and observability. Focus on onboarding customer data, tuning distributed processing, designing resilient transformations, and supporting ML models, dashboards, and near-real-time streaming needs.

Location: Remote - US; work from anywhere in the US

Salary: $180k–$220k base salary per year, plus equity and benefits.

Company

hirify.global is a healthcare intelligence company providing an AI-powered platform for health plans to improve payment outcomes, transparency, and operational efficiency.

What you will do

  • Design and implement production-grade pipelines with Python, Spark SQL, and Airflow for high-volume CSV, Parquet, and JSON datasets.
  • Canonicalize healthcare claims, EHR, partner, and customer data into internal models.
  • Own pipeline lifecycles from ingestion through validated, queryable datasets, including reliability, performance, and observability.
  • Onboard customers by integrating non-standard external data and collaborating with SMEs, Account Managers, Product, and customer teams.
  • Build resilient, idempotent transformations with validation, schema enforcement, versioning, testing, and data quality checks.
  • Tune distributed processing, monitor production pipelines, participate in on-call rotations, and develop streaming pipelines with Kafka, SQS, or similar tools.

Requirements

  • 6+ years of experience as a Data Engineer or equivalent, building production-grade pipelines.
  • Strong expertise in Python, Spark SQL, and Airflow.
  • Experience processing large-scale file-based datasets and mapping raw external data into canonical models.
  • Experience with AWS or another cloud platform, including file storage and distributed computing concepts.
  • Experience onboarding customers and integrating external data in non-standard formats.
  • Must be based in the United States; strong written and verbal communication skills are required.

Nice to have

  • Familiarity with healthcare data formats and concepts such as 837, 835, EHR, UB04, and claims normalization.
  • Experience building or willingness to learn streaming pipelines with Kafka or SQS.

Culture & Benefits

  • Digital-first remote work within the US.
  • Full medical, dental, and vision coverage for employees and their families.
  • Flexible, trusting work environment with high ownership.
  • Unlimited flexible time off.
  • Competitive salary, equity, and 401(k) with employer match.

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