Senior Python Engineer – Privacy-Preserving Analytics Remote

E-Logic, Inc.; Phoenix (AZ); Remote; USD 83,000 - 124,000; Part time

Benefits offered by this job

Remote/Remote-friendly

Job summary

E-Logic, Inc. is seeking a Senior Software Developer to support Python-based analytical applications and tools for the IRS RAAS SOI Division, focusing on differential privacy, evaluation, and automated reporting.

You’ll develop modular code, support production pipelines, and contribute to privacy-preserving technologies in a remoteUnited States environment. You will collaborate with data scientists and Government stakeholders, ensure reproducibility and scalability, and aid in documentation,

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, and maintainable analytical applications supporting privacy-preserving QOZ statistical reporting.
• Develop Python-based code and applications used for statistical analysis, testing, disclosure avoidance, and automated reporting.
• Support development and implementation of applications that can be adapted for future IRS and Treasury statistical reporting efforts.
• 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 capable of estimating error rates and bias metrics across different epsilon levels and reporting granularities.
• Support privacy-budget management and validation across analytical outputs.
• Build software that enables SOI analysts to evaluate privacy-utility trade-offs and make informed privacy-parameter selections.
• Integrate software applications 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 upon receipt of TY 2026 data.
• Develop reliable and reproducible software components capable of executing within IRS-approved environments.
• Troubleshoot and resolve software defects and technical issues.
• Optimize software and analytical code for performance, reproducibility, maintainability, and scalability.
• Refine software and analytical processes based on stakeholder feedback, data characteristics, and evolving project requirements.
• Ensure improvements preserve approved statistical outcomes and privacy requirements.
• Fully document software architecture, technical changes, workflows, and operational procedures.
• Develop technical documentation, user guides, troubleshooting procedures, instructional materials, and code walkthroughs.
• Support training workshops and hands‑on knowledge‑transfer sessions for SOI analysts and data scientists.
• Explain software functionality, analytical workflows, operational procedures, and technical dependencies to Government personnel.
• Support delivery of the final technical environment and artifacts necessary for SOI to sustain independent production.

Skills

Python development

Analytical applications

Software testing

Data privacy concepts

Production deployment

Stakeholder collaboration

Tools

Tumult Analytics

Job description

E-Logic, Inc. is seeking a Senior Software Developer to support Python-based analytical applications and tools for the IRS RAAS SOI Division, focusing on differential privacy, evaluation, and automated reporting.

You’ll develop modular code, support production pipelines, and contribute to privacy-preserving technologies in a remoteUnited States environment. You will collaborate with data scientists and Government stakeholders, ensure reproducibility and scalability, and aid in documentation,