Remote Senior Software Developer – Privacy-Preserving Analytics (Contract)

E Logic; Montgomery (AL); Remote; USD 117,000 - 172,000; Part time

Job summary

E-Logic, Inc. is seeking a Senior Software Developer to build modular Python-based analytics applications supporting the IRS RAAS SOI Division’s production of differentially private statistics.

You’ll contribute to privacy-preserving tools, testing, and documentation while ensuring reproducibility and scalable pipelines. The role involves developing dashboards and production-ready components, integrating with ETL pipelines, and training government personnel on technical environment usage.

Qualifications

• Demonstrated experience in software development supporting analytical, statistical, data-processing, or technical applications.
• Strong experience developing maintainable, transparent, and reproducible code.
• 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.
• Experience supporting secure or regulated data environments is highly relevant.
• Familiarity with privacy-preserving computation, differential privacy, disclosure avoidance, or statistical data protection is highly desirable.
• Experience working with Federal datasets and applicable confidentiality, security, and governance standards.
• Ability to collaborate with data scientists, data engineers, project managers, statistical analysts, and Government stakeholders.
• Ability to produce comprehensive technical documentation and support user training and knowledge transfer.

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.
• Develop software components that support production analytical workflows and statistical output generation.
• Support implementation of differential privacy and disclosure-avoidance functionality using Tumult Analytics or comparable frameworks.
• Develop and support an evaluation application estimating error rates and bias metrics across epsilon levels.
• Support privacy-budget management and validation across analytical outputs.
• Build software enabling SOI analysts to evaluate privacy-utility trade-offs and privacy-parameter selections.
• Integrate software with data-processing and analytical pipelines.
• Support end-to-end ETL, statistical analysis, automated output generation, and production workflows.
• Validate analytical codebases and production pipelines for TY 2026 data.
• Develop reproducible software components for IRS-approved environments.
• Troubleshoot and resolve software defects and issues.
• Develop visualizations, dashboards, statistical tables, and other outputs.
• Ensure outputs implement approved methodologies and privacy parameters.
• Test and validate software functionality, reproducibility, and reliability.
• Document testing procedures, results, defects, corrective actions, and changes.
• Develop transparent codebases compliant with Federal standards.

Skills

Python development

Analytical applications

Code maintainability

Stakeholder collaboration

Documentation

Tools

Tumult Analytics

Secure environments

Job description

E-Logic, Inc. is seeking a Senior Software Developer to build modular Python-based analytics applications supporting the IRS RAAS SOI Division’s production of differentially private statistics.

You’ll contribute to privacy-preserving tools, testing, and documentation while ensuring reproducibility and scalable pipelines. The role involves developing dashboards and production-ready components, integrating with ETL pipelines, and training government personnel on technical environment usage.