Senior Data Engineer - Healthcare & Dashboards

Quantum Technologies. LLC; Austin (TX); On-site; USD 120,000 - 180,000; Full time

Job summary

Quantum Technologies LLC in Austin, TX is seeking an experienced data integration specialist to develop, test, and maintain pipelines using SAS, Python, or R. You will work on dashboard development and automate data processes to improve data interoperability for public health applications.

The role requires extensive experience with healthcare datasets, SQL databases, and ETL workflows, with strong communication to both technical and non-technical stakeholders.

Qualifications

• 8+ years building, testing, and maintaining data programs in SAS, Python, or R.
• 8+ years integrating data and automating dashboards to improve interoperability.
• 8+ years handling healthcare datasets and complex administrative data.
• Strong knowledge of databases and querying techniques.
• Experience translating business requirements into technical solutions.
• Experience validating automated data integration workflows for accuracy.
• Proficient documentation of code, specs, and workflows.
• Excellent analytical and communication skills for diverse stakeholders.
• Ability to collaborate with epidemiologists, program staff, and technical teams.

Responsibilities

• Develop and troubleshoot data integration workflows.
• Design dashboards and automate data processing.
• Collaborate with cross-functional teams including clinicians and epidemiologists.
• Translate requirements into technical solutions.
• Ensure data quality and interoperability across systems.

Skills

Programming languages

System integration

Data analysis

Documentation

Cross-functional collaboration

Tools

SQL databases

ETL pipelines

Job description

Quantum Technologies LLC in Austin, TX is seeking an experienced data integration specialist to develop, test, and maintain pipelines using SAS, Python, or R. You will work on dashboard development and automate data processes to improve data interoperability for public health applications.

The role requires extensive experience with healthcare datasets, SQL databases, and ETL workflows, with strong communication to both technical and non-technical stakeholders.