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As a Data Implementation Engineer at 1upHealth, you will play a crucial role in the onboarding and implementation of new clients. We are seeking a highly skilled and motivated individual with healthcare data experience who excels at data mapping/transformation and demonstrates a strong ability to make well-informed and independent decisions while working with strict deadlines.

In this role, you’ll get to:

• Configure the 1upHealth platform to deliver on our customers’ contractual obligations
• Work closely with the Implementation Manager to understand project timelines and execute tasks to meet required deadlines.
• Handle the extraction, transformation and loading (ETL) of various healthcare data, into a customer’s FHIR platform.
• Perform data mapping operations on and make independent, informed decisions
• Work cross-functionally across departments, including Product, Software Engineering, Customer Success and Support to report and address customer-reported product concerns..
• Document implementation steps, deploy and utilize tools created by our Product and Engineering teams
• Attend external customer-facing meetings and provide technical feedback in a manner that is easily understood by the customer
• Automation of file transfer and ETL processes

We are looking for people who have:

• 5+ years of data engineering experience.
• Healthcare data interoperability experience with data formats such as HL7v2, FHIR, and CCDA.
• Strong analytical skills and the ability to interpret and visualize data effectively.
• Excellent problem-solving and critical-thinking abilities.
• Demonstrated experience in making independent decisions, including those related to data mapping.
• BS/MS Computer Science, Engineering, Bioinformatics, or a related field
• Skilled in Node.js, Python, or at least one data-centric programming language.
• 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 Apache NiFi or similar large-scale data platforms. ,
• Working knowledge and experience with AWS infrastructure including DynamoDB, RDS, OpenSearch, Lambda, and EC2.
• An adaptable mindset due to a rapidly changing startup environment