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Lead Data/Cloud Engineer

Salary undisclosed

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Dice
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Job Title: Lead Data/Cloud Engineer

Experience: 7+ years of experience in data engineering, cloud platforms, and API development.
Location - Remote
What's in it for you?
As a Lead Data/Cloud Engineer, you will be part of an Agile team working on healthcare applications, developing and implementing new features while adhering to the best coding and development standards. This role is central to building scalable, robust, and secure data infrastructure in a healthcare interoperability platform.
Mandatory Skills:
  • Expertise in managing multi-cloud infrastructures (50% Google Cloud Platform, 25% Azure, 25% on-premises).
  • Strong knowledge of container orchestration (Kubernetes, Docker).
  • Experience with StreamSets, Azure Data Factory, and Databricks for ETL processes.
  • Proficiency in API development with .NET and familiarity with Python.
  • API Gateway management (e.g., Apigee, Datapower).
  • Hands-on experience with Kafka and StreamSets for event streaming.
  • Expertise in databases such as Snowflake, MongoDB, and FHIR servers.
  • Understanding of Firely and Azure FHIR services.
Good-to-Have Skills:
  • Familiarity with healthcare payer systems and regulatory standards like HIPAA.
  • Knowledge of programming languages such as .NET and Python, along with healthcare standards like HL7 V2/V3, ADT, FHIR, and CCDA.
  • Experience with other Google Cloud Platform and Azure cloud services.
Responsibilities:

We are seeking an experienced Lead Data/Cloud Engineer to join our healthcare interoperability team. The ideal candidate will have a strong background in data engineering, cloud infrastructure (primarily Google Cloud Platform and Azure), ETL processes, and API development. Your role will focus on managing and optimizing data pipelines across multi-cloud environments and on-premises infrastructure.

Key responsibilities include:

  • Design, build, and maintain scalable data pipelines using StreamSets, Azure Data Factory, and Google Cloud Platform-related services.
  • Manage multi-cloud environments with 50% on Google Cloud Platform, 25% on Azure, and 25% on-premises infrastructure.
  • Lead API development within the .NET framework, with some work in Python.
  • Develop and maintain event streaming services using Kafka and StreamSets.
  • Administer databases, including Snowflake, MongoDB, and FHIR servers (Firely, Azure FHIR).
  • Ensure compliance with healthcare standards such as UDAP, CDEX, FHIR, HL7, and ADT.
  • Collaborate with internal and external applications to ensure seamless integration using healthcare protocols such as FHIR, CCDA, HL7, etc.
  • Implement and manage API gateways using tools like Apigee and Datapower.
  • Provide technical guidance and mentorship to junior engineers.
  • Monitor and optimize the performance and scalability of data solutions.
  • Stay updated with the latest healthcare interoperability trends and cloud technologies.
Educational Qualifications:
  • Bachelor's or Master's degree in Engineering, Computer Science, or a related field.
  • Technical certifications in multiple technologies are a plus.
Employers have access to artificial intelligence language tools (“AI”) that help generate and enhance job descriptions and AI may have been used to create this description. The position description has been reviewed for accuracy and Dice believes it to correctly reflect the job opportunity.
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