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).