Data Integration Developer

Nexiva•Austin, TX
•Hybrid

About The Position

Support modernization of the Texas Birth Defects Registry (TBIRDS) through data integration, automation, dashboards, and electronic case reporting. Assess business requirements and develop solutions to ingest electronic initial case reports (eICRs), populate registry fields, and reduce manual review. The position is based in Austin, Texas, with a hybrid schedule of four days remote and one day onsite; the schedule is subject to change. Candidates must currently live within 50 miles of Austin; relocation candidates will not be considered. The engagement is scheduled from December 1, 2026, through April 30, 2027. The listed rate is $60 per hour on C2C. Interviews are in person.

Requirements

  • At least 8 years of experience developing, testing, maintaining, and troubleshooting SAS, Python, R, or similar scripts.
  • Experience with system integration, dashboard development, and workflow automation.
  • Experience working with complex health, public health, or administrative data, including databases and querying.
  • Ability to translate business needs into technical requirements and solutions.
  • Experience testing and validating automated data integrations.
  • Experience documenting code, specifications, and procedures.
  • Strong analytical, communication, and collaboration skills.
  • Must currently live within 50 miles of Austin; relocation candidates will not be considered.
  • Candidates must not have a green card (GC).

Nice To Haves

  • At least 2 years of experience with eCR/eICR, EHR, or Health Information Exchange.
  • Experience with HL7, XML, FHIR, SNOMED CT, or other clinical terminology standards.
  • Experience with SQL, relational databases, public health registries, data matching, and automated ETL pipelines.

Responsibilities

  • Assess integration needs and document business and technical requirements.
  • Develop and maintain programs using SAS, Python, R, or similar tools.
  • Build dashboards and automate data ingestion, validation, and clinical-review workflows.
  • Test data accuracy, completeness, matching, and integration reliability.
  • Document code, workflows, and technical specifications.
  • Collaborate with program, epidemiology, and technical teams.
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