Job Description :

Sr. Data Engineer

C2H role

Client: UHG

  • Need stronger candidates-- prefer heavy healthcare, that is what will win here and it is 100% remote. Manager's biggest issue is the candidates are not able to speak to their resume, some falling short on SQL problems and Python Issues.
  • Need Strong Health, SQL and Python.

What Project/Projects will the candidate be working on while on assignment?

Primary Responsibilities: Build scalable, fault-tolerant batch and real-time data pipelines to power internal applications, operational workflows, and business intelligence platforms Create and maintain data-driven APIs to support a wide range of integration with healthcare partners Recommend and implement best practices for data management and governance

Help set technical direction and provide guidance to more junior data engineers. Work as a partner with our product team to represent engineering interests and inform product decisions Solve technical problems, simple and complex, in a lean and efficient manner Follow engineering best practices and cultivate a best-practices culture Resolve to put the customer first, by chasing ROI in all engineering efforts, recognizing that doing something the fastest way possible, lets us do more for patients

Required Qualifications:

    • Prior experience working with UnitedHealth Group data or with medical claims data strongly preferred.

Bachelors degree in computer science, engineering or a similar field of study, or equivalent experience 5 + years of experience with software development 3 + years of experience professional data engineering, building and using data infrastructure, APIs, and integrations in a cloud-hosted setting. Demonstrate a keen awareness of the importance of security, scalability, reliability, and feasibility in solution design Fluent in at least one general-purpose programming language (Python, Java, Scala, Go, Ruby, C#, etc) Expert knowledge of SQL Familiarity with electronic health record (EHR) data and standards (HL7, FHIR, and similar protocols)

Preferred Qualifications: Experience with performance tuning tools and/or techniques Experience with AWS technologies such as Redshift, S3, Lambda, EMR, Kinesis, RDS Experience with QuickSights, PowerBI, Qlikview, Tableau or other Reporting Tools


Required Skills :
Basic Qualification :
Additional Skills :
Background Check :Yes
Drug Screen :Yes
Candidate must be your W2 Employee :No
Interview Process :
Additional Keywords :
Degree Requirements :
Certification Requirement :
Minimum Experience (In Years) :0
Travel Requirements :
             

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