Install back-end, automated data integrations to customer electronic medical records, billing, data warehouses or other applicable customer systems.
Create, manage, and optimize ETL from multiple internal data systems to provide a foundation for internal analytic dashboards.
Lead data discovery and validation projects to ensure accurate data is delivered in a timely manner for business users.
Bridge the gap between business and technology by leading technical requirements gatherings and establishing integration approaches for each unique project.
Clearly communicate technical processes to non-technical business leaders and non-technical business requirements to technical process owners.
Assemble large data sets of clinical outcomes.
Gather business requirements and work with users in an agile fashion to build dashboard outputs based on ETL sourced data.
Establish access to electronic medical records across multiple platforms using FHIR, HL7, API, or other methods.
Adhere to documented departmental and corporate standards.

Bachelor's degree in related field required.
3+ years of experience in extract, transform, and load (ETL) programming.
3+ years of experience working with relational databases.
Experience with Health Level Seven (HL7).
Ability to work independently solving application software problems.
Experience with establishing external access and extract, transform, and load (ETL) strategies with multiple types of data sources, particularly a variety of electronic medical record systems.
Ability to assemble and query complex data from databases, perform in depth analysis and decipher computational data.
Working experience with relational databases including Microsoft SQL, and/or MySQL.
Proficient in Microsoft Office Suite, specifically Word, Excel, Outlook, and general working knowledge of Internet for business use.

Data Integration Engineer

Key skills