Senior Python Engineer: Privacy & Data Analytics (Remote)

E Logic; Dover (DE); Remote; USD 96,000 - 152,000; Part time

Job summary

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

The role focuses on modular Python development, differential privacy tooling, and production pipelines. It involves dashboards, documentation, testing, and knowledge transfer, all within a fully remote US setting as a part-time contract.

Qualifications

• Experience with Python-based development and analytical applications.
• Experience developing software tools, pipelines, dashboards, or applications supporting data analytics.
• Experience with testing, debugging, validation, and production software deployment.
• Familiarity with privacy-preserving computation, differential privacy, disclosure avoidance, or statistical data protection is highly desirable.
• Ability to produce comprehensive technical documentation and support user training and knowledge transfer.

Responsibilities

• Develop modular, reusable Python analytical applications supporting privacy-preserving QOZ 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 components that support production analytical workflows and timely output generation.
• Support validation of code execution within IRS-approved environments and production pipelines.

Skills

Python development

Analytical applications

Testing & validation

Privacy/differential privacy

Documentation

Collaboration with government

Tools

Tumult Analytics

Job description

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

The role focuses on modular Python development, differential privacy tooling, and production pipelines. It involves dashboards, documentation, testing, and knowledge transfer, all within a fully remote US setting as a part-time contract.