Senior Python & Privacy Analytics Engineer (Remote)

E Logic; Cheyenne (WY); Remote; USD 83,000 - 152,000; Part time

Job summary

E-Logic, Inc. is seeking a Senior Software Developer to support the development, testing, implementation, validation, and optimization of software applications and analytical tools for SOI.

The role focuses on Python-based analytics, differential privacy, and automated reporting within IRS-relevant environments. The candidate will contribute to pipelines, dashboards, and knowledge transfer, collaborating with data scientists and government stakeholders.

Qualifications

• Experience in software development for analytical or data-processing applications.
• Proficient in Python-based development and analytical tools.
• Experience with testing, debugging, validation, and production deployment.
• Familiarity with privacy-preserving computation or differential privacy is desirable.
• Experience with Federal datasets and governance standards.

Responsibilities

• Develop modular, reusable analytical applications supporting privacy-preserving QOZ statistical reporting.
• Develop Python-based code and applications for statistical analysis, testing, disclosure avoidance, and automated reporting.
• Support development and implementation of applications for future IRS and Treasury statistical reporting efforts.
• Develop software components that support production analytical workflows and statistical output generation.
• Support validation of code execution within IRS-approved environments.
• Troubleshoot and resolve software defects and technical issues.

Skills

Python development

Data analytics tooling

Testing & QA

Stakeholder collaboration

Technical documentation

Tools

Tumult Analytics

Job description

E-Logic, Inc. is seeking a Senior Software Developer to support the development, testing, implementation, validation, and optimization of software applications and analytical tools for SOI.

The role focuses on Python-based analytics, differential privacy, and automated reporting within IRS-relevant environments. The candidate will contribute to pipelines, dashboards, and knowledge transfer, collaborating with data scientists and government stakeholders.