Developer/Programmer Analyst 3 – Public Health Data Automation

ZipStaff•Austin, TX

2d•Hybrid

About The Position

ZipStaff is hiring a senior Developer/Programmer Analyst 3 for a state public health agency to lead programming automation, system integration, and data modernization. The role will assess business and technical requirements for ingesting electronic Initial Case Reports (eICRs) and auto-populating registry data fields to reduce manual record abstraction. This is a four-month hybrid contract based in Austin, Texas, starting December 1, 2026. The schedule is Monday through Friday, 8:00 AM to 5:00 PM, excluding State holidays. The position involves developing and maintaining automated data pipelines, validation procedures, dashboards, and system integrations, as well as documenting requirements, code, technical specifications, workflows, and procedures. The Developer/Programmer Analyst 3 will collaborate with epidemiological, program, and IT teams to advance public health data interoperability.

Requirements

At least 8 years developing, testing, maintaining, and troubleshooting SAS, Python, R, or similar programming scripts.
At least 8 years in system integration, dashboard creation, and automation for interoperability workflows.
At least 8 years working with structured or semi-structured health, public health, or other complex administrative data, with strong database and querying knowledge.
At least 8 years documenting system requirements and translating business needs into technical solutions.
At least 8 years testing and validating automated data-integration solutions and documenting code and technical specifications.
Strong analytical and problem-solving skills.
Ability to explain technical concepts to technical and non-technical staff.
Ability to work on-site in Austin, Texas, on a hybrid schedule.

Nice To Haves

At least 2 years with electronic case reporting (eCR/eICR), Electronic Health Records, or Health Information Exchange.
Experience with HL7, XML, or FHIR, and SNOMED CT or other clinical terminology standards.
At least 2 years with SQL and relational databases, public health surveillance systems or registries, and data linkage and matching.
Experience building automated data pipelines or ETL processes.

Responsibilities

Conduct a comprehensive needs assessment to define requirements for eICR ingestion and registry auto-population.
Develop, test, and maintain automated data pipelines and validation procedures using SAS, Python, and R.
Build interactive dashboards and system integrations to improve interoperability workflows.
Test and validate automated data-integration solutions.
Write reports documenting system requirements and translate programmatic and business needs into technical solutions.
Document code, technical specifications, workflows, and procedures.
Collaborate with epidemiological, program, and IT teams to advance public health data interoperability.