Source description
About the role
EDI Software Engineer
Location Denver CO - 100% Remote
Duration : 1 year contract
M-F 8-5pm
Responsibilities
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Performs data analysis to evaluate and confirm business requirements.
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Assists in developing/validating source target mappings and transformation logic required to support information requirements.
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Creates re-usable transformations and robust mappings.
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Coordinates with BA, Operations, internal stakeholders and when appropriate external clients to ensure on-time quality delivery of integrations.
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Develops test cases and test plans to complete the unit testing.
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Identifies or gathers data quality issues and implements remediation processes for both data quality edits and data quality analytics issues and risks.
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Works with the diverse technologies, operating systems, languages, and functionality which are used in the existing applications and systems.
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Works with the custom client integrations for specific clients to provide enhanced business logic prior to processing in downstream production platforms.
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Prioritizes and works on multiple tasks across multiple projects.
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Provides input for project / work effort costing to include resource and hardware/software estimation.
Skills
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Redpoint
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Demonstrates an understanding of release management concepts, such as continuous integration and continuous deployment.
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Adept at designing and implementing large scale data integrations.
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Subject matter expert for the IT department's source control system, application lifecycle management toolset, and the release management process.
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Familiar with issue resolution, coupled with high level of solutioning.
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Education and training:
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Bachelor's Degree required.
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Five (5) plus years of experience in full life-cycle development of ETL workflows, data and systems integrations.
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Experience with one or more mapping/ETL tools (e.g. RedPoint Data Management, Alteryx, Data Stage, Dataflux, Informatica, SSIS, or Sterling Integrator).
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Experience with X12 EDI standards for healthcare data.
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Experience with one or more traditional development languages (e.g . C#, Java, Pytho n).
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Experience processing data including validation techniques, processing efficiencies, file processing (hierarchical, flat, delimited), and retrieving or populating data within a DBMS.
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Experience writing SQL queries and stored procedures.
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Or equivalent combination of education and/or experience.
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