Senior Software Developer

E Logic•Lansing, MI

4d•Remote

About The Position

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 the IRS RAAS Statistics of Income (SOI) Division’s production of differentially private Qualified Opportunity Zone statistics. The role focuses on modular Python-based analytical applications and supporting software, differential privacy and disclosure-avoidance tools, evaluation applications, production analytical pipelines, automated output generation, dashboards, and technical tools. The developer will help ensure solutions are reproducible and scalable and will support documentation, testing, training, and Government knowledge transfer. This is a fully remote, part-time contract assignment within the United States. The estimated level of effort is 375 hours per contract year, approximately 7.2 hours per week on average; actual hours may vary according to project activities, technical requirements, meetings, testing, and deliverables. The work is primarily computer-based in Government-authorized remote-access and computing environments and includes participation in virtual meetings, code reviews, testing sessions, and training activities. The role requires compliance with federal, IRS, privacy, security, and data-governance requirements. The developer must protect Federal Tax Information, taxpayer information, and other sensitive Government information, work within IRS-approved environments and authorized Government systems, and review, validate, and obtain human approval for AI-assisted outputs before deployment or use. U.S. citizenship is required, and the individual must be able to obtain and maintain required federal clearance or security approval before receiving Government-furnished information.

Requirements

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.
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.
U.S. citizenship is required for this federal contract.
Must be able to obtain and maintain required federal clearance or security approval before receiving Government-furnished information.
Must be eligible to receive and use an IRS laptop and contractor PIV card, as applicable.
Must work within IRS-approved computing environments and authorized Government systems.
Must protect FTI, taxpayer information, and other sensitive Government information and comply with applicable Federal, IRS, privacy, security, and data-governance requirements.
AI-assisted outputs must be reviewed, validated, and approved by a human before deployment or use.

Nice To Haves

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.

Responsibilities

Develop modular, reusable, and maintainable analytical applications for privacy-preserving Qualified Opportunity Zone statistical reporting.
Develop Python-based code and applications for statistical analysis, testing, disclosure avoidance, and automated reporting.
Support applications adaptable for future IRS and Treasury statistical reporting efforts.
Develop software components supporting 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 that estimates error rates and bias metrics across epsilon levels and reporting granularities.
Support privacy-budget management and validation across analytical outputs, and enable SOI analysts to evaluate privacy-utility trade-offs and select privacy parameters.
Integrate 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, and develop reliable, reproducible components for IRS-approved environments.
Troubleshoot and resolve software defects and technical issues.
Support development of visualizations, dashboards, statistical tables, and other analytical outputs for internal review and public-facing reporting as required.
Ensure software-generated outputs accurately implement approved methodologies and privacy parameters.
Test and validate software for functionality, accuracy, reproducibility, and reliability, including execution in IRS-approved environments.
Document testing procedures, results, defects, corrective actions, and software changes; support quality assurance and resolve material deficiencies before Government acceptance.
Develop transparent and reproducible codebases consistent with Federal statistical and technical standards.
Optimize software and analytical code for performance, reproducibility, maintainability, and scalability, while preserving approved statistical outcomes and privacy requirements.
Refine software and analytical processes based on stakeholder feedback, data characteristics, and evolving project requirements.
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.
Protect FTI, taxpayer information, and other sensitive Government information, and comply with applicable federal, IRS, privacy, security, and data-governance requirements.
Review, validate, and obtain human approval for AI-assisted outputs before deployment or use.