EDI Engineer

EDI Software Engineer


Location Denver CO - 100% Remote
Duration: 1 year contract


M-F 8-5pm


Responsibilities:
Performs data analysis to evaluate and confirm business requirements.
Assists in developing/validating source target mappings and transformation logic required to support information requirements.
Creates re-usable transformations and robust mappings.
Coordinates with BA, Operations, internal stakeholders and when appropriate external clients to ensure on-time quality delivery of integrations.
Develops test cases and test plans to complete the unit testing.
Identifies or gathers data quality issues and implements remediation processes for both data quality edits and data quality analytics issues and risks.
Works with the diverse technologies, operating systems, languages, and functionality which are used in the existing applications and systems.
Works with the custom client integrations for specific clients to provide enhanced business logic prior to processing in downstream production platforms.
Prioritizes and works on multiple tasks across multiple projects.
Provides input for project / work effort costing to include resource and hardware/software estimation.



Skills:


Redpoint
Demonstrates an understanding of release management concepts, such as continuous integration and continuous deployment.
Adept at designing and implementing large scale data integrations.
Subject matter expert for the IT department's source control system, application lifecycle management toolset, and the release management process.
Familiar with issue resolution, coupled with high level of solutioning.



Education and training:
Bachelor's Degree required.
Five (5) plus years of experience in full life-cycle development of ETL workflows, data and systems integrations.
Experience with one or more mapping/ETL tools (e.g. RedPoint Data Management, Alteryx, Data Stage, Dataflux, Informatica, SSIS, or Sterling Integrator).
Experience with X12 EDI standards for healthcare data.
Experience with one or more traditional development languages (e.g. C#, Java, Python).
Experience processing data including validation techniques, processing efficiencies, file processing (hierarchical, flat, delimited), and retrieving or populating data within a DBMS.
Experience writing SQL queries and stored procedures.
Or equivalent combination of education and/or experience.