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Senior Data Engineer
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Senior Data Engineer

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Job Location drjobs

Charlotte - USA

Monthly Salary drjobs

Not Disclosed

drjobs

Salary Not Disclosed

Job Description

We are looking for a Senior Data Engineer with Sr. Data Engineer with Apigee experience. Below are the details:

Job title: Sr. Data Engineer

Location: Charlotte NC preferred Remote available

Duration: long term contract

Job Title: Senior Data Engineer

End Client is the platform for high performing health plans. We help selfinsured employers advisors and vendors achieve cost savings better benefit utilization and improved member outcomes. If you are passionate about data and improving the US healthcare system help us rewrite the rules leveraging our proprietary Smart Hub. The ideal candidate will thrive in a fastpaced entrepreneurial environment where your voice is expected to be heard

Role Overview:

The Senior Data Engineer will play a pivotal role in designing and developing Wend Clients strategic data ingestion platform. This individual will be responsible for architecting scalable solutions for transforming raw healthcare data including medical claims and/or pharmacy claims into an enterprisestandard format. Key responsibilities include gathering requirements from technology leadership designing data pipelines and implementing solutions that meet the needs of End Clients healthcare data initiatives.

Key Responsibilities:

  • Design and implement functionality for End Clients SilkRoad data ingestion platform.
  • Architect scalable solutions for transforming healthcare data including medical claims pharmacy claims and enrollment data.
  • Implement eventdriven architecture and utilize Python expertise to build robust data pipelines and workflows.
  • Develop Google Cloud Functions to support data processing and integration activiites.
  • Drive DevOps practices including CI/CD pipelines using tools like GitHub Actions and Terraform.
  • Utilize Docker for containerization of data processing components (nicetohave).

Required Experience:

  • Expert level proficiency in Python programming.
  • Experience with eventdriven architecture and building Flask applications.
  • Strong understanding of DevOps principles and handson experience with CI/CD pipelines using tools like GitHub Actions and Terraform.
  • Familiarity with Google Cloud Platform (GCP) services particularly Google Cloud Functions and Google Cloud Pub/Sub.
  • Understanding of of both relational and nonrelational DBMSs and the distinctive characteristics of each.
  • Experience working with healthcare data specifically medical claims and/or pharmacy claims.
  • Bachelors degree in Computer Science Engineering or a related field.

NicetoHave Experience:

  • Experience with HL7 specific data formats such as EDI files or FHIR files.
  • Experience with Docker for containerization.
  • Familiarity with Pydantic for data validation.
  • Direct experience with Google Big Query and MongoDB
  • Experience with EMPI systems.

Additional Requirements:

  • Strong communication and design skills.
  • Proven track record of delivering highquality solutions in a fastpaced environment.
  • Ability to gather requirements and guidance from technology leadership and implement accordingly.

Employment Type

Full Time

Company Industry

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