Data Engineer

E-Logic, Inc. is seeking a Data Engineer to support the IRS RAAS Statistics of Income Division. The role focuses on preparing, validating, transforming, integrating, and processing tax and administrative data for privacy-preserving Qualified Opportunity Zone statistics, including ETL pipelines, synthetic data, reproducible workflows, automated outputs, documentation, testing, and optimization.

Responsibilities:

• Conduct comprehensive discovery and profiling of IRS tax and administrative datasets associated with Opportunity Zone investments and Qualified Opportunity Funds
• Support data analysis involving relevant Form 8996 and Form 8997 records
• Identify key data elements, variable definitions, data structures, relationships, and quality limitations relevant to OB3 reporting requirements
• Develop and maintain data inventories, schemas, data dictionaries, and technical data documentation
• Perform initial data cleaning, validation, transformation, and imputation testing
• Develop reproducible data-processing workflows
• Identify and document data-quality issues and support resolution of material discrepancies
• Validate processed data for use in statistical modeling and privacy-preserving analytical workflows
• Develop synthetic test data that reflects the structure and relevant statistical characteristics of underlying population data
• Support testing and validation of differential privacy algorithms using synthetic datasets
• Ensure synthetic datasets contain no identifiable real taxpayer information
• Document data-generation processes and maintain reproducibility within IRS-approved environments
• Develop and validate production-level end-to-end ETL and data-processing pipelines
• Integrate data engineering workflows with statistical analysis and automated output-generation processes
• Support implementation of the Year 1 analytical framework for TY 2026 production data
• Develop scalable and reusable data workflows supporting future IRS and Treasury statistical reporting projects
• Support automated generation of compliant aggregated statistical outputs
• Support implementation of privacy-preserving data workflows and analytical applications
• Provide data-engineering support for differential privacy and disclosure-avoidance processes
• Support evaluation of data outputs across privacy parameters and reporting granularities
• Assist with the production of datasets, tables, dashboards, and other analytical outputs while maintaining confidentiality requirements
• Produce transparent and reproducible data-processing code and technical documentation
• Document data sources, schemas, transformations, validation procedures, workflows, and quality controls
• Support methodology and QA documentation aligned with SOI requirements
• Maintain records and documentation necessary to support reproducibility, testing, and Government review
• Optimize data pipelines for performance, reproducibility, and scalability within IRS-approved computing environments
• Implement improvements based on data characteristics, stakeholder feedback, and technical requirements
• Support training, code walkthroughs, documentation, workshops, and knowledge-transfer sessions for SOI personnel
• Help prepare the data and technical artifacts necessary for transition to Government self-sustaining operations

Requirements:

• Demonstrated experience in data engineering, data processing, ETL, data validation, or related technical data activities
• Experience working with complex datasets and developing reproducible data workflows
• Experience developing data inventories, schemas, data dictionaries, and technical documentation
• Experience developing or supporting production-level data pipelines
• Experience working with Federal datasets and applicable confidentiality, security, and governance standards
• Familiarity with Privacy Act, CIPSEA, FISMA, OMB guidance, or comparable Federal data-governance requirements
• Experience supporting analytical tools, pipelines, dashboards, or privacy-preserving data workflows is highly desirable
• Ability to work closely with data scientists, software developers, statistical analysts, project managers, and Government stakeholders
• Strong documentation, troubleshooting, analytical, and problem-solving skills
• U.S. citizenship is required for this federal contract
• Must be able to obtain and maintain the required federal clearance/security approval before receiving GFI
• 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 accounts and systems
• Must protect FTI, taxpayer information, and other sensitive Government information
• Must comply with applicable Federal, IRS, security, privacy, and data-governance requirements
• AI-assisted tools may be used for appropriate coding, testing, documentation, and analytical activities, provided all outputs are reviewed, validated, and approved by a human before use
• Fully remote position within the United States
• Work is performed primarily at a computer using Government-authorized systems, remote-access tools, and collaboration platforms
• Ability to participate in virtual technical meetings and coordinate with distributed project teams
• Ability to manage and document technical data workflows and processes
• No routine physical labor is expected