{"schemaVersion":"jobsearcher.job.v1","id":"8a57d17dda5ec440d8d94f2d","url":"https://jobsearcher.com/jobs/8a57d17dda5ec440d8d94f2d","canonicalUrl":"https://jobsearcher.com/jobs/8a57d17dda5ec440d8d94f2d","title":"Enterprise Data Integration Engineer (Python/ETL) - Senior","description":"Enterprise Data Integration Engineer (Python/ETL) - Senior\n\nLocation: On-location at Pentagon (Hybrid and Remote eligible)\nLevel: Senior\nClearance: Must be eligible for federal SECRET clearance\nCandidates must have the above clearance level and, at a minimum, be able to maintain this clearance during their employment with Montcure.\n\nMontcure, LLC is a Service-Disabled Veteran-Owned Small Business (SDVOSB) founded with a vision to revolutionize consulting and advisory services through innovative, data-driven solutions. The Montcure team recognizes the unique challenges faced by organizations and governments in today’s rapidly evolving business environment.\n\nJob Summary\nMontcure is seeking an Enterprise Data Integration Engineer (Python/ETL) – Senior to support enterprise financial data integration and modernization efforts. This role focuses on designing, developing, and maintaining robust ETL/ELT data pipelines that transform complex data from multiple enterprise systems into trusted, business-ready datasets for downstream reporting, analytics, and business applications. The successful candidate will work closely with functional stakeholders to understand business rules, translate inconsistent source data into standardized data models, and implement scalable transformation logic using Python, SQL, and modern data engineering practices.\n\nKey Responsibilities:\n\nData Pipeline Development\nDesign, develop, test, and maintain scalable ETL/ELT data pipelines using Python, SQL, and modern data engineering practices.\nMaintain and enhance existing data pipelines as enterprise data sources, business rules, and reporting requirements evolve over time.\nDevelop transformation logic that standardizes and integrates data from multiple enterprise source systems.\nBuild reusable data processing components that support enterprise reporting and analytics.\nMonitor and adapt pipeline logic to accommodate changes in source systems, data structures, and evolving business requirements while preserving data quality and integrity.\nOptimize pipeline performance, reliability, scalability, and maintainability.\n\nData Integration & Transformation\nAnalyze data from multiple enterprise systems and develop transformation logic that standardizes differing data structures, terminology, and business rules into consistent, business-ready datasets.\nCollaborate with functional subject matter experts to understand financial business rules, validate data interpretations, and ensure transformation logic accurately reflects business intent.\nIdentify and resolve data quality, reconciliation, and normalization issues to ensure accurate, trusted, and traceable enterprise datasets.\n\nData Modeling & Governance\nDevelop and maintain canonical datasets suitable for enterprise reporting and analytics.\nSupport the ongoing evolution of canonical data models as new source systems, business entities, and reporting requirements are introduced.\nMaintain data lineage and traceability throughout the transformation process.\nDocument transformation logic, mapping specifications, and business rules.\nSupport data validation, reconciliation, and quality assurance activities.\n\nTechnical Collaboration\nPartner with application engineers, data modelers, and functional stakeholders to deliver trusted, production-ready data assets supporting enterprise reporting and business applications.\nCollaborate with downstream development teams to ensure datasets support evolving reporting, analytics, and application requirements.\nParticipate in solution design, testing, troubleshooting, deployment, and continuous improvement activities.\nProvide technical recommendations that improve data quality, pipeline reliability, maintainability, and long-term scalability.\n\nRequired Qualifications:\nBachelor's degree in Computer Science, Information Systems, Data Engineering, Mathematics, or related field (or equivalent experience).\n5+ years of experience developing enterprise ETL/ELT or data integration solutions.\nStrong Python programming skills for data processing and automation.\nStrong SQL skills, including complex joins, aggregations, and query optimization.\nExperience integrating data from multiple enterprise systems.\nExperience with data profiling, cleansing, normalization, reconciliation, and transformation.\nExperience creating source-to-target mapping documentation.\nUnderstanding of data lineage, metadata management, and data governance principles.\nStrong analytical, troubleshooting, and problem-solving skills.\nStrong written and verbal communication skills.\n\nPreferred Qualifications:\nExperience working with Navy financial systems, financial data, or enterprise financial datasets (e.g., Navy ERP or other Department of the Navy financial applications).\nExperience supporting federal financial management, budget execution, accounting, audit readiness, or financial reporting.\nExperience with Jupyter notebooks, PySpark, Apache Spark, Databricks, or comparable data engineering technologies.\nActive Secret clearance or ability to obtain one.\n\nStatus: Contingency – This work is contingent upon award.\nSalary Range: $90-$115k per year\n\nMontcure, LLC is an Equal Opportunity Employer. Montcure, LLC does not discriminate on the basis of race, religion, color, sex, gender identity, sexual orientation, age, non-disqualifying physical or mental disability, national origin, veteran status or any other basis covered by appropriate law. All employment is decided on the basis of qualifications, merit, and business need.","company":"Montcure","rawCompany":"montcure","city":"Washington","state":"DC","isRemote":false,"isActive":false,"createdAt":"2026-08-06T10:23:43.079Z","occupations":[{"code":"15-1243.01","title":"Data Warehousing Specialists","slug":"data-warehousing-specialists"},{"code":"15-2051.00","title":"Data Scientists","slug":"data-scientists"},{"code":"15-1243.00","title":"Database Architects","slug":"database-architects"}],"industries":[{"code":"541512","title":"Computer Systems Design Services","slug":"computer-systems-design-services"},{"code":"541511","title":"Custom Computer Programming Services","slug":"custom-computer-programming-services"},{"code":"541690","title":"Other Scientific and Technical Consulting Services","slug":"other-scientific-and-technical-consulting-services"}],"jobPosting":{"@context":"https://schema.org","@type":"JobPosting","title":"Enterprise Data Integration Engineer (Python/ETL) - Senior","description":"Enterprise Data Integration Engineer (Python/ETL) - Senior\n\nLocation: On-location at Pentagon (Hybrid and Remote eligible)\nLevel: Senior\nClearance: Must be eligible for federal SECRET clearance\nCandidates must have the above clearance level and, at a minimum, be able to maintain this clearance during their employment with Montcure.\n\nMontcure, LLC is a Service-Disabled Veteran-Owned Small Business (SDVOSB) founded with a vision to revolutionize consulting and advisory services through innovative, data-driven solutions. The Montcure team recognizes the unique challenges faced by organizations and governments in today’s rapidly evolving business environment.\n\nJob Summary\nMontcure is seeking an Enterprise Data Integration Engineer (Python/ETL) – Senior to support enterprise financial data integration and modernization efforts. This role focuses on designing, developing, and maintaining robust ETL/ELT data pipelines that transform complex data from multiple enterprise systems into trusted, business-ready datasets for downstream reporting, analytics, and business applications. The successful candidate will work closely with functional stakeholders to understand business rules, translate inconsistent source data into standardized data models, and implement scalable transformation logic using Python, SQL, and modern data engineering practices.\n\nKey Responsibilities:\n\nData Pipeline Development\nDesign, develop, test, and maintain scalable ETL/ELT data pipelines using Python, SQL, and modern data engineering practices.\nMaintain and enhance existing data pipelines as enterprise data sources, business rules, and reporting requirements evolve over time.\nDevelop transformation logic that standardizes and integrates data from multiple enterprise source systems.\nBuild reusable data processing components that support enterprise reporting and analytics.\nMonitor and adapt pipeline logic to accommodate changes in source systems, data structures, and evolving business requirements while preserving data quality and integrity.\nOptimize pipeline performance, reliability, scalability, and maintainability.\n\nData Integration & Transformation\nAnalyze data from multiple enterprise systems and develop transformation logic that standardizes differing data structures, terminology, and business rules into consistent, business-ready datasets.\nCollaborate with functional subject matter experts to understand financial business rules, validate data interpretations, and ensure transformation logic accurately reflects business intent.\nIdentify and resolve data quality, reconciliation, and normalization issues to ensure accurate, trusted, and traceable enterprise datasets.\n\nData Modeling & Governance\nDevelop and maintain canonical datasets suitable for enterprise reporting and analytics.\nSupport the ongoing evolution of canonical data models as new source systems, business entities, and reporting requirements are introduced.\nMaintain data lineage and traceability throughout the transformation process.\nDocument transformation logic, mapping specifications, and business rules.\nSupport data validation, reconciliation, and quality assurance activities.\n\nTechnical Collaboration\nPartner with application engineers, data modelers, and functional stakeholders to deliver trusted, production-ready data assets supporting enterprise reporting and business applications.\nCollaborate with downstream development teams to ensure datasets support evolving reporting, analytics, and application requirements.\nParticipate in solution design, testing, troubleshooting, deployment, and continuous improvement activities.\nProvide technical recommendations that improve data quality, pipeline reliability, maintainability, and long-term scalability.\n\nRequired Qualifications:\nBachelor's degree in Computer Science, Information Systems, Data Engineering, Mathematics, or related field (or equivalent experience).\n5+ years of experience developing enterprise ETL/ELT or data integration solutions.\nStrong Python programming skills for data processing and automation.\nStrong SQL skills, including complex joins, aggregations, and query optimization.\nExperience integrating data from multiple enterprise systems.\nExperience with data profiling, cleansing, normalization, reconciliation, and transformation.\nExperience creating source-to-target mapping documentation.\nUnderstanding of data lineage, metadata management, and data governance principles.\nStrong analytical, troubleshooting, and problem-solving skills.\nStrong written and verbal communication skills.\n\nPreferred Qualifications:\nExperience working with Navy financial systems, financial data, or enterprise financial datasets (e.g., Navy ERP or other Department of the Navy financial applications).\nExperience supporting federal financial management, budget execution, accounting, audit readiness, or financial reporting.\nExperience with Jupyter notebooks, PySpark, Apache Spark, Databricks, or comparable data engineering technologies.\nActive Secret clearance or ability to obtain one.\n\nStatus: Contingency – This work is contingent upon award.\nSalary Range: $90-$115k per year\n\nMontcure, LLC is an Equal Opportunity Employer. Montcure, LLC does not discriminate on the basis of race, religion, color, sex, gender identity, sexual orientation, age, non-disqualifying physical or mental disability, national origin, veteran status or any other basis covered by appropriate law. All employment is decided on the basis of qualifications, merit, and business need.","datePosted":"2026-08-06T10:23:43.079Z","dateModified":"2026-08-06T10:23:43.079Z","hiringOrganization":{"@type":"Organization","name":"Montcure","sameAs":"https://jobsearcher.com"},"jobLocation":{"@type":"Place","address":{"@type":"PostalAddress","addressLocality":"Washington","addressRegion":"DC","addressCountry":"US"}},"identifier":{"@type":"PropertyValue","name":"JobSearcher","value":"8a57d17dda5ec440d8d94f2d"},"url":"https://jobsearcher.com/jobs/8a57d17dda5ec440d8d94f2d"}}