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1 день назад

Technical Solutions Engineer (Healthcare)

103 500 - 155 500$
Формат работы
onsite
Тип работы
fulltime
Грейд
senior
Английский
b2
Страна
US
Вакансия из списка Hirify.GlobalВакансия из Hirify RU Global, списка компаний с восточно-европейскими корнями
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Описание вакансии

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TL;DR

Technical Solutions Engineer (Healthcare): Designing and implementing scalable data pipelines and curation strategies for healthcare and life sciences data with an accent on interoperability standards like FHIR and OMOP. Focus on building cloud-native ingestion architectures, normalizing clinical concepts, and enabling customers to operationalize complex biomedical datasets.

Location: Must be based in Dallas, Texas (Onsite)

Salary: $103,500–$155,500

Company

hirify.global is a data platform and technology company building AI-enabled precision health solutions to accelerate research and improve patient care.

What you will do

  • Design implementation architectures and scalable cloud-native data ingestion pipelines for structured and unstructured healthcare data.
  • Partner with customers to onboard, integrate, and harmonize data sources including EHRs, genomic, and imaging systems.
  • Collaborate with clinical informatics teams to map and normalize clinical concepts and terminology systems.
  • Build and optimize data processing workflows from discovery through production deployment.
  • Develop reusable technical assets, reference architectures, and implementation playbooks to improve delivery scalability.

Requirements

  • Must be authorized to work in the United States without employer sponsorship.
  • 6+ years of experience in healthcare technology, data engineering, or technical consulting.
  • Hands-on experience with major cloud platforms (GCP, AWS, or Azure).
  • Proficiency in Python, Golang, Terraform, YAML, and SQL.
  • Strong analytical, problem-solving, and project management skills.
  • BA/BS degree in Computer Science, Engineering, Biomedical Informatics, or related field.

Nice to have

  • Experience with EHR systems like Epic or Cerner.
  • Familiarity with healthcare standards such as FHIR, HL7, ICD, SNOMED, and LOINC.
  • Experience with data warehousing technologies like BigQuery, Snowflake, or Databricks.
  • Knowledge of NLP, AI/ML workflows, or biomedical data abstraction.

Culture & Benefits

  • Competitive base salary with bonus and equity components.
  • Comprehensive benefits package.
  • Opportunity to work at the intersection of technology, data science, and healthcare.
  • Collaborative environment working with cross-functional product, engineering, and clinical teams.

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