Data Implementation Engineer

Data Implementation Engineer

This job is no longer open

We are looking for a Data Implementation Engineer to join 1upHealth and sit at the intersection of data engineering and implementation. 

You will:

  • Configure the 1up platform to deliver on our customer’s contractual obligations
  • Work on our 1up software products to ETL data and perform FHIR validation.  
  • Learn and deploy our new payer and provider solutions
  • Collaborate with data engineering, API, implementation, and customer success teams to ensure deliverables are met according to the project plan
  • Deploy and utilize tools created by our engineering and data teams
  • Deploy automation where possible

We are looking for people who have:

  • 3+ years of data engineering experience.
  • BS/MS Computer Science, Engineering, Bioinformatics, or a related field
  • Experience building and maintaining scalable batch and streaming data pipelines.
  • Skilled in Node.js and/or Python.
  • Proficient with Linux. 
  • Experience building and maintaining scalable batch and streaming data pipelines for terabyte scale data.
  • Experienced in database architecture, with professional experience using relational SQL (e.g. PostgreSQL, MySQL), and NoSQL (MongoDB, Elasticsearch).
  • Experience with large-scale data processing platforms such as Spark, EMR, and/or HPC computing experience with e.g. Apache nifi,
  • Working knowledge and experience with AWS infrastructure including DynamoDB, Athena/Glue, Lambda, EC2.
  • An adaptable mindset due to a rapidly changing environment

You may also have:

  • Bioinformatics experience in either the research or clinical space, as well as healthcare data experience in general - e.g. HL7, FHIR.  LOINC, ICD10, SNOMED, CPT.
  • Working JVM knowledge (any or all of Java/Kotlin/Scala).
This job is no longer open
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