{"schemaVersion":"jobsearcher.job.v1","id":"fc42375850fae37f2e0a7965","url":"https://jobsearcher.com/jobs/fc42375850fae37f2e0a7965","canonicalUrl":"https://jobsearcher.com/jobs/fc42375850fae37f2e0a7965","title":"Data Engineer","description":"Job Summary\n\nE-Logic, Inc. is seeking a Data Engineer to support the IRS RAAS Statistics of Income (SOI) Division in the discovery, preparation, validation, transformation, integration, and production processing of tax and administrative data used to produce privacy-preserving Qualified Opportunity Zone statistics.\n\nThe Data Engineer will support data profiling, data inventory and schema development, synthetic data preparation, data cleaning and validation, reproducible workflows, ETL development, production analytical pipelines, automated output generation, documentation, testing, and optimization within IRS-approved computing environments.\n\nWorking Hours\n\nRemote - United States\n\nEmployment Type: Part-Time Contract Assignment\n\nEstimated Level of Effort: 690.5 hours per contract year, approximately 13.3 hours per week on average.\n\nThe actual distribution of hours may vary based on project activities, technical requirements, meetings, and deliverables.\n\nKey Responsibilities\nData Discovery & Profiling\nConduct comprehensive discovery and profiling of IRS tax and administrative datasets associated with Opportunity Zone investments and Qualified Opportunity Funds.\nSupport data analysis involving relevant Form 8996 and Form 8997 records.\nIdentify key data elements, variable definitions, data structures, relationships, and quality limitations relevant to OB3 reporting requirements.\nDevelop and maintain data inventories, schemas, data dictionaries, and technical data documentation.\nData Preparation & Quality\nPerform initial data cleaning, validation, transformation, and imputation testing.\nDevelop reproducible data-processing workflows.\nIdentify and document data-quality issues and support resolution of material discrepancies.\nValidate processed data for use in statistical modeling and privacy-preserving analytical workflows.\nSynthetic Data & Testing\nDevelop synthetic test data that reflects the structure and relevant statistical characteristics of underlying population data.\nSupport testing and validation of differential privacy algorithms using synthetic datasets.\nEnsure synthetic datasets contain no identifiable real taxpayer information.\nDocument data-generation processes and maintain reproducibility within IRS-approved environments.\nETL & Analytical Pipelines\nDevelop and validate production-level end-to-end ETL and data-processing pipelines.\nIntegrate data engineering workflows with statistical analysis and automated output-generation processes.\nSupport implementation of the Year 1 analytical framework for TY 2026 production data.\nDevelop scalable and reusable data workflows supporting future IRS and Treasury statistical reporting projects.\nSupport automated generation of compliant aggregated statistical outputs.\nDifferential Privacy & Analytical Support\nSupport implementation of privacy-preserving data workflows and analytical applications.\nProvide data-engineering support for differential privacy and disclosure-avoidance processes.\nSupport evaluation of data outputs across privacy parameters and reporting granularities.\nAssist with the production of datasets, tables, dashboards, and other analytical outputs while maintaining confidentiality requirements.\nDocumentation, QA & Reproducibility\nProduce transparent and reproducible data-processing code and technical documentation.\nDocument data sources, schemas, transformations, validation procedures, workflows, and quality controls.\nSupport methodology and QA documentation aligned with SOI requirements.\nMaintain records and documentation necessary to support reproducibility, testing, and Government review.\nOptimization & Knowledge Transfer\nOptimize data pipelines for performance, reproducibility, and scalability within IRS-approved computing environments.\nImplement improvements based on data characteristics, stakeholder feedback, and technical requirements.\nSupport training, code walkthroughs, documentation, workshops, and knowledge-transfer sessions for SOI personnel.\nHelp prepare the data and technical artifacts necessary for transition to Government self-sustaining operations.\nQualifications\nDemonstrated experience in data engineering, data processing, ETL, data validation, or related technical data activities.\nExperience working with complex datasets and developing reproducible data workflows.\nExperience developing data inventories, schemas, data dictionaries, and technical documentation.\nExperience developing or supporting production-level data pipelines.\nExperience working with Federal datasets and applicable confidentiality, security, and governance standards.\nFamiliarity with Privacy Act, CIPSEA, FISMA, OMB guidance, or comparable Federal data-governance requirements.\nExperience supporting analytical tools, pipelines, dashboards, or privacy-preserving data workflows is highly desirable.\nAbility to work closely with data scientists, software developers, statistical analysts, project managers, and Government stakeholders.\nStrong documentation, troubleshooting, analytical, and problem-solving skills.\nFederal Project Requirements\nU.S. citizenship is required for this federal contract.\nMust be able to obtain and maintain the required federal clearance/security approval before receiving GFI.\nMust be eligible to receive and use an IRS laptop and contractor PIV card, as applicable.\nMust work within IRS-approved computing environments and authorized Government accounts and systems.\nMust protect FTI, taxpayer information, and other sensitive Government information.\nMust comply with applicable Federal, IRS, security, privacy, and data-governance requirements.\nAI-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.\nWork Environment & Physical Requirements\nFully remote position within the United States.\nWork is performed primarily at a computer using Government-authorized systems, remote-access tools, and collaboration platforms.\nAbility to participate in virtual technical meetings and coordinate with distributed project teams.\nAbility to manage and document technical data workflows and processes.\nNo routine physical labor is expected.\nEEO Employer Statement\n\nE-Logic, Inc. is an Equal Employment Opportunity Employer and considers all qualified applicants for employment without regard to race, color, religion, sex, national origin, age, disability, veteran status, or any other status protected by applicable federal, state, or local law.","company":"E Logic","rawCompany":"e logic","city":"Henrico","state":"VA","isRemote":false,"isActive":true,"createdAt":"2026-10-02T11:20:15.274Z","occupations":[{"code":"15-1243.01","title":"Data Warehousing Specialists","slug":"data-warehousing-specialists"},{"code":"15-2051.00","title":"Data Scientists","slug":"data-scientists"},{"code":"15-1252.00","title":"Software Developers","slug":"software-developers"}],"industries":[{"code":"541690","title":"Other Scientific and Technical Consulting Services","slug":"other-scientific-and-technical-consulting-services"},{"code":"541511","title":"Custom Computer Programming Services","slug":"custom-computer-programming-services"},{"code":"541512","title":"Computer Systems Design Services","slug":"computer-systems-design-services"}],"jobPosting":{"@context":"https://schema.org","@type":"JobPosting","title":"Data Engineer","description":"Job Summary\n\nE-Logic, Inc. is seeking a Data Engineer to support the IRS RAAS Statistics of Income (SOI) Division in the discovery, preparation, validation, transformation, integration, and production processing of tax and administrative data used to produce privacy-preserving Qualified Opportunity Zone statistics.\n\nThe Data Engineer will support data profiling, data inventory and schema development, synthetic data preparation, data cleaning and validation, reproducible workflows, ETL development, production analytical pipelines, automated output generation, documentation, testing, and optimization within IRS-approved computing environments.\n\nWorking Hours\n\nRemote - United States\n\nEmployment Type: Part-Time Contract Assignment\n\nEstimated Level of Effort: 690.5 hours per contract year, approximately 13.3 hours per week on average.\n\nThe actual distribution of hours may vary based on project activities, technical requirements, meetings, and deliverables.\n\nKey Responsibilities\nData Discovery & Profiling\nConduct comprehensive discovery and profiling of IRS tax and administrative datasets associated with Opportunity Zone investments and Qualified Opportunity Funds.\nSupport data analysis involving relevant Form 8996 and Form 8997 records.\nIdentify key data elements, variable definitions, data structures, relationships, and quality limitations relevant to OB3 reporting requirements.\nDevelop and maintain data inventories, schemas, data dictionaries, and technical data documentation.\nData Preparation & Quality\nPerform initial data cleaning, validation, transformation, and imputation testing.\nDevelop reproducible data-processing workflows.\nIdentify and document data-quality issues and support resolution of material discrepancies.\nValidate processed data for use in statistical modeling and privacy-preserving analytical workflows.\nSynthetic Data & Testing\nDevelop synthetic test data that reflects the structure and relevant statistical characteristics of underlying population data.\nSupport testing and validation of differential privacy algorithms using synthetic datasets.\nEnsure synthetic datasets contain no identifiable real taxpayer information.\nDocument data-generation processes and maintain reproducibility within IRS-approved environments.\nETL & Analytical Pipelines\nDevelop and validate production-level end-to-end ETL and data-processing pipelines.\nIntegrate data engineering workflows with statistical analysis and automated output-generation processes.\nSupport implementation of the Year 1 analytical framework for TY 2026 production data.\nDevelop scalable and reusable data workflows supporting future IRS and Treasury statistical reporting projects.\nSupport automated generation of compliant aggregated statistical outputs.\nDifferential Privacy & Analytical Support\nSupport implementation of privacy-preserving data workflows and analytical applications.\nProvide data-engineering support for differential privacy and disclosure-avoidance processes.\nSupport evaluation of data outputs across privacy parameters and reporting granularities.\nAssist with the production of datasets, tables, dashboards, and other analytical outputs while maintaining confidentiality requirements.\nDocumentation, QA & Reproducibility\nProduce transparent and reproducible data-processing code and technical documentation.\nDocument data sources, schemas, transformations, validation procedures, workflows, and quality controls.\nSupport methodology and QA documentation aligned with SOI requirements.\nMaintain records and documentation necessary to support reproducibility, testing, and Government review.\nOptimization & Knowledge Transfer\nOptimize data pipelines for performance, reproducibility, and scalability within IRS-approved computing environments.\nImplement improvements based on data characteristics, stakeholder feedback, and technical requirements.\nSupport training, code walkthroughs, documentation, workshops, and knowledge-transfer sessions for SOI personnel.\nHelp prepare the data and technical artifacts necessary for transition to Government self-sustaining operations.\nQualifications\nDemonstrated experience in data engineering, data processing, ETL, data validation, or related technical data activities.\nExperience working with complex datasets and developing reproducible data workflows.\nExperience developing data inventories, schemas, data dictionaries, and technical documentation.\nExperience developing or supporting production-level data pipelines.\nExperience working with Federal datasets and applicable confidentiality, security, and governance standards.\nFamiliarity with Privacy Act, CIPSEA, FISMA, OMB guidance, or comparable Federal data-governance requirements.\nExperience supporting analytical tools, pipelines, dashboards, or privacy-preserving data workflows is highly desirable.\nAbility to work closely with data scientists, software developers, statistical analysts, project managers, and Government stakeholders.\nStrong documentation, troubleshooting, analytical, and problem-solving skills.\nFederal Project Requirements\nU.S. citizenship is required for this federal contract.\nMust be able to obtain and maintain the required federal clearance/security approval before receiving GFI.\nMust be eligible to receive and use an IRS laptop and contractor PIV card, as applicable.\nMust work within IRS-approved computing environments and authorized Government accounts and systems.\nMust protect FTI, taxpayer information, and other sensitive Government information.\nMust comply with applicable Federal, IRS, security, privacy, and data-governance requirements.\nAI-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.\nWork Environment & Physical Requirements\nFully remote position within the United States.\nWork is performed primarily at a computer using Government-authorized systems, remote-access tools, and collaboration platforms.\nAbility to participate in virtual technical meetings and coordinate with distributed project teams.\nAbility to manage and document technical data workflows and processes.\nNo routine physical labor is expected.\nEEO Employer Statement\n\nE-Logic, Inc. is an Equal Employment Opportunity Employer and considers all qualified applicants for employment without regard to race, color, religion, sex, national origin, age, disability, veteran status, or any other status protected by applicable federal, state, or local law.","datePosted":"2026-10-02T11:20:15.274Z","dateModified":"2026-10-02T11:20:15.274Z","hiringOrganization":{"@type":"Organization","name":"E Logic","sameAs":"https://jobsearcher.com"},"jobLocation":{"@type":"Place","address":{"@type":"PostalAddress","addressLocality":"Henrico","addressRegion":"VA","addressCountry":"US"}},"identifier":{"@type":"PropertyValue","name":"JobSearcher","value":"fc42375850fae37f2e0a7965"},"url":"https://jobsearcher.com/jobs/fc42375850fae37f2e0a7965"}}