Senior Python Developer for Privacy Analytics (Remote)

E Logic; Lincoln (NE); Remote; USD 96,000 - 165,000; Part time

Job summary

E-Logic, Inc. seeks a Senior Software Developer to support development, testing, implementation, validation, and optimization of Python-based analytic tools for the IRS RAAS SOI division. The role emphasizes differential privacy and privacy-preserving statistics.

You will build modular Python applications, support production pipelines, dashboards, and reproducible workflows while collaborating with government staff to ensure secure, compliant data processing in a fully remote US setting.

Qualifications

• Experience in Python-based development of analytical applications.
• Strong software development and testing, debugging, validation and production deployment.
• Familiarity with privacy-preserving computation and differential privacy.
• Experience with secure or regulated data environments.
• Ability to collaborate with cross-functional teams and Government stakeholders.

Responsibilities

• Develop modular Python-based analytical applications supporting privacy-preserving QOZ statistical reporting.
• Develop Python-based code for statistical analysis, testing, disclosure avoidance, and automated reporting.
• Support development and implementation of applications for future IRS and Treasury reporting efforts.
• Build software components that support production analytical workflows and outputs.
• Support dashboards, visualizations, and analytical outputs for internal and public reporting.
• Ensure reproducible code and documented testing procedures; validate code in IRS-approved environments.
• Troubleshoot defects and contribute to scalable, secure production pipelines.

Skills

Python

Software design

Differential privacy

Security awareness

Collaboration

Job description

E-Logic, Inc. seeks a Senior Software Developer to support development, testing, implementation, validation, and optimization of Python-based analytic tools for the IRS RAAS SOI division. The role emphasizes differential privacy and privacy-preserving statistics.

You will build modular Python applications, support production pipelines, dashboards, and reproducible workflows while collaborating with government staff to ensure secure, compliant data processing in a fully remote US setting.