Senior Data Engineer

3 weeks ago

Arizona City, United States Saxon Global Full time

UnitedHealth Group, Inc. (UHG) is looking for a Senior Data Engineer to work 100% remote (will work 9am-5pm either AZ time zone or EST time zone) to design, develop, test, and maintain pipelines ingesting critical real-time claims data sets into OnePaaS (Cloud).

Project Initiative: There is need to ingest critical claims datasets (real time) into the cloud for Value-Based Reimbursement adds another layer of importance. Enhancements in encounter accuracy metrics and the encounter submission process through claims dataset ingestion into OnePaaS (Cloud) for all lines of business are not just desirable; they are essential for aligning with UHC's goals with delegated providers, impacting provider RAF (Risk Adjustment Factor) scores. Additionally, the 15-day lag from the clearinghouse causing delays in provider outreach for rejected encounters is not just an inconvenience; it is a critical issue that can be effectively addressed with the implementation of this new solution.

Responsibilities:

  • Accountable for data engineering lifecycle including research, proof of concepts, design, development, test, deployment, and maintenance.
  • Design, develop, implement and run cross-domain, modular, optimized, flexible, scalable, secure, reliable and quality data solutions that transform data for meaningful analyses and analytics while ensuring operability.
  • Design, develop, implement and run data solutions and implement data pipelines with petabyte scale of data.
  • Build processes and diagnostics tools to troubleshoot, maintain and optimize solutions and respond to customer and production issues.
  • Embrace continuous learning of engineering practices to ensure industry best practices and technology adoption, including DevOps, Cloud and Agile thinking.
  • Maintain high quality documentation of data definitions, transformations, and processes to ensure data governance and security.
  • Identifies solutions to non-standard requests and problems.
  • Solves moderately complex problems and/or conducts moderately complex analyses.
  • Ingest data from Hadoop sources to cloud.
  • Design and develop ETL workflows for migration of data from on-premise to Azure cloud.
  • Develop CI/CD workflows on Azure for continuous deployment for projects.
  • Work on Databricks, Azure data factory to migrate SSIS workflows into cloud.
Requirements:
  • 5 years of experience on Azure cloud
  • Python or Scala experience
  • Azure Databricks
  • Azure Data Factory (ADF)
  • UI or API build experience (React or Angular)
  • Kafka for real-time integration
  • Bachelor's Degree
Required Skills : - 5 years of Azure Cloud experience - Azure Data Factory - Azure Databricks - Python or Scala - Kafka for real-time integrations - Development experience with UI technologies (React or Angular)100% remote working either AZ time zone or EST time zone from 9am - 5pm. The interview process will be 2 rounds over video.
Background Check :Yes
Drug Screen :Yes
Notes :
Selling points for candidate :100% remote working either AZ time zone or EST time zone from 9am - 5pm. The interview process will be 2 rounds over video.
Project Verification Info :"The information provided below is for Apex Systems AV use only and is not to be distributed publicly, or to any third party. Any distribution of the below information will result in corrective action from Apex Systems Vendor Management. MSA: Blanket Approval Received Client Letter: Will Provide"
Candidate must be your W2 Employee :Yes
Exclusive to Apex :No
Face to face interview required :No
Candidate must be local :No
Candidate must be authorized to work without sponsorship ::No
Interview times set : :No
Type of project :
Master Job Title :
Branch Code :

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