Senior Data Integration & Health Analytics Engineer

Valiant Technologies LLC; Austin (TX); On-site; USD 120,000 - 160,000; Full time

Job summary

Valiant Technologies LLC is seeking an experienced data integration engineer to develop, test, and maintain programs using SAS, Python, or R, with a focus on healthcare datasets. You will lead dashboard development, automate data workflows, and collaborate with epidemiologists and program staff to improve data interoperability.

Ideal candidates have 8+ years in data integration, strong database querying skills, and proven experience translating business needs into technical solutions.

Qualifications

• 8+ years developing, testing, and maintaining data programs in SAS, Python, or R.
• 8+ years in system integration, dashboard development, and process automation for data interoperability.
• 8+ years working with healthcare/public health datasets.
• Strong knowledge of databases and query techniques.
• 8+ years translating requirements into technical solutions.
• 8+ years validating automated data integration workflows for data accuracy.
• 8+ years documenting code and system requirements.
• Strong analytical, troubleshooting, and communication skills.
• Ability to collaborate with cross-functional teams including epidemiologists and program staff.

Responsibilities

• Develop, test, maintain, and troubleshoot data integration programs.
• Create dashboards and automate data processing workflows for public health applications.
• Collaborate with cross-functional teams to meet business needs.
• Document technical specifications and workflows.
• Ensure data accuracy and reliability of ETL processes.

Skills

SAS

Python

R

Data integration

Dashboard development

Data testing

Documentation

Cross-functional collaboration

Workflow automation

Tools

SQL

Relational databases

ETL processes

Healthcare data integration

Job description

Valiant Technologies LLC is seeking an experienced data integration engineer to develop, test, and maintain programs using SAS, Python, or R, with a focus on healthcare datasets. You will lead dashboard development, automate data workflows, and collaborate with epidemiologists and program staff to improve data interoperability.

Ideal candidates have 8+ years in data integration, strong database querying skills, and proven experience translating business needs into technical solutions.