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SAS/R/Python Developer

Bansar Technologies Inc.Austin, TX🇺🇸United States

Quick overview

SeniorityMid Senior
Work modeHybrid
LocationAustin, TX, United States
SQLETLPython

Job description

DirectClient: Texas Health and Human Services Commission(HHSC)
Solicitation Number: 537701803
Title: SAS/R/Python Developer
Location: 1100 W. 49th Street, Austin, Texas 78756
Duration: Until 8/31/2027 with possible extension
Last date for submission: November 10, 2026 (12.00 PM-CST)
Important Note: Position will be 4 days remote with 1 day required to be onsite. In-person interview mandatory. Texas local candidates only.

CANDIDATE SKILLS AND QUALIFICATIONS
Minimum Requirements:
Years    Required/Preferred    Experience
8    Required    Experience developing, testing, maintaining, and troubleshooting SAS, Python, R, or other similar programming language scripts.
8    Required    Experience with system integration, dashboard creation, and automation for improved interoperability workflows.
8    Required    Experience working with structured or semi-structured health, public health, or other complex administrative data and knowledge of databases and database querying.
8    Required    Ability to develop reports that documents system requirements to identify programmatic and business needs and translate them into technical solutions.
8    Required    Experience testing and validating automated data-integration solutions.
8    Required    Ability to document code and technical specifications for improved workflows and procedures.
8    Required    Strong analytical and problem-solving skills, ability to communicate technical concepts to both technical and nontechnical staff, and Ability to work collaboratively with other staff.
2    Preferred    Experience with electronic case reporting (eCR/eICR), Electronic Health Records or Health Information Exchange, healthcare interoperability standards such as HL7, XML, or FHIR, SNOMED CT or other clinical terminology standards.
2    Preferred    Experience with SQL and relational databases, public health surveillance systems or registries, data linkage and matching, and development of automated data pipelines or ETL processes.

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