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Agent guide: [/agents.md](https://www.wearedevelopers.com/agents.md). --- # DoW Data Integration Engineer | 2+ yrs | DC - **Company:** Silverthorne Advisory Group LLC - **Location:** Arlington, VA, United States - **Experience:** Experienced - **Contract:** Permanent contract - **Skills:** Application Programming Interfaces (APIs), Artificial Intelligence, Amazon Web Services, Business Analytics Applications, Microsoft Azure, Batch Processing, Cloud Computing, Cloud Database, Cloud Engineering, Information Systems, Computer Engineering, Data Validation, Information Engineering, Data Governance, Data Infrastructure, Data Integration, Extract Transform Load (ETL), Data Mapping, Middleware, File Transfer, Python (Programming Language), Metadata, Meta-Data Management, Operational Data Store, Oracle (Applications), Scrum Methodology, Reference Data, Power BI, Cloud Services, OneStream, Standard Sql, SAP (Applications), Software Deployment, Software Engineering, SQL Databases, System Integration Testing, Systems Integration, Enterprise Data Management, Data Processing, Enterprise Software Applications, Cloud Platform System, Azure Data Factory, SAP Integration Solutions, Informatica Powercenter, Apache Spark, Boomi, Data Layers, Microsoft Fabric, Data Lakes, Information Technology, Apache Kafka, Data Management, Tools for Reporting, Virtual Agents, Cloud Integration, Restful APIs, Azure Synapse Analytics, Data Pipelines, Workday, Mulesoft, Databricks - **Published:** July 26, 2026 - **Apply:** https://www.clearancejobs.com/jobs/9057767/dow-data-integration-engineer-2-yrs-dc ## About the Role 2+ years of professional experience supporting enterprise data integration, financial systems, ERP modernization, cloud data engineering, software development, or related technical initiatives. - Bachelor's degree in Computer Science, Information Systems, Software Engineering, Data Engineering, Computer Engineering, Information Technology, or another STEM discipline. - Experience or academic/project experience developing or supporting APIs, ETL/ELT pipelines, batch processing, file-based integrations, or middleware platforms. - Working knowledge of SQL with experience querying, validating, and analyzing datasets. Experience or familiarity with source-to-target validation, data reconciliation, and enterprise data quality analysis. - Experience supporting or participating in System Integration Testing (SIT), User Acceptance Testing (UAT), production deployments, and post-production support. - Foundational understanding of enterprise integration patterns, data mapping, transformation logic, and interface controls. - Familiarity with cloud-based data platforms such as Azure, AWS, or Databricks. - Strong analytical, troubleshooting, and root-cause analysis skills. - Excellent communication skills with the ability to collaborate across technical and business teams. - Ability to manage multiple priorities within a fast-paced consulting environment. - Demonstrated ability to learn new technologies quickly and adapt to evolving client requirements. - U.S. citizenship with the ability to obtain and maintain a security clearance. - Experience supporting OneStream or other Enterprise Performance Management (EPM) platforms. - Experience with ERP systems such as SAP, Oracle, Workday, Momentum, or CGI Momentum. - Knowledge of federal financial management, including GTAS, USSGL, Treasury reporting, financial statement processes, audit readiness, and internal controls. - Experience supporting Advana, War Data Platform, or other Department of War enterprise data platforms. - Experience developing enterprise integrations using REST APIs, Azure Data Factory, Azure Integration Services, Informatica, MuleSoft, Boomi, Kafka, or similar integration technologies. - Experience with modern cloud data platforms including Databricks, Spark, Delta Lake, Microsoft Fabric, Synapse Analytics, or similar architectures. - Knowledge of ETL/ELT, API integration, middleware, data governance, metadata management, and master data management (MDM). - Experience applying AI, intelligent automation, or agentic AI to data validation, reconciliation, anomaly detection, interface monitoring, or operational efficiency. - Active Secret or Top Secret security clearance. - Professional certifications such as Microsoft Azure Data Engineer Associate, Databricks Data Engineer Associate, AWS Certified Data Engineer, Certified Scrum Master (CSM), or Certified Data Management Professional (CDMP). - Candidates with experience as Software Engineers, Cloud Engineers, Data Engineers, API Developers, Middleware Engineers, ETL Engineers, or ERP Integration Developers are encouraged to apply. - Compensation - We carefully consider a wide range of compensation factors, including but not limited to prior experience, skills, expertise, location, and other considerations permitted by law. ## Description Silverthorne Advisory Group is seeking a Data Integration Engineer to join an exciting and growing opportunity supporting Defense sector clients. This position is ideal for an engineer who enjoys solving complex enterprise data integration challenges while working at the intersection of financial management, cloud data platforms, enterprise applications, and emerging artificial intelligence technologies. The successful candidate will support enterprise modernization initiatives by supporting the design, validation, testing, implementation, and stabilization of data layer integrations across financial systems, ERP platforms, staging environments, analytics platforms, and reporting solutions. Working alongside technical developers, source system owners, data layer teams, finance stakeholders, and program management teams, you will assist in ensuring financial and operational data moves accurately, completely, and securely from source systems through transformation pipelines into downstream reporting platforms. This role places a strong emphasis on source-to-target validation, three-way reconciliation, interface reliability, data quality, traceability, and operational readiness. You will support enterprise platforms such as OneStream, ERP systems, GTAS reporting, War Data Platform, and other mission-critical financial systems while leveraging technologies including Power BI, Databricks, Palantir, Celonis Intelligence, SQL, Python, cloud-native integration services, and agentic AI solutions to automate validation, improve data quality, and accelerate issue resolution. The ideal candidate has a strong technical foundation in software development, data integration, or cloud technologies and is eager to expand their knowledge of enterprise financial systems while collaborating with experienced technical and functional teams. This role offers the opportunity to build technical expertise delivering modern integration architectures that improve financial reporting, strengthen internal controls, and enable data-driven decision-making across federal organizations. The position will be hybrid and based in the Washington, DC metropolitan area. Onsite work locations are in Rosslyn, the Mark Center, and Pentagon. Responsibilities: - Support the design, development, configuration, testing, and maintenance of enterprise data integrations supporting OneStream, ERP platforms, and financial reporting systems. - Assist with defining integration requirements, interface controls, source-to-target mappings, transformation logic, and validation criteria. - Support the development, testing, and validation of batch integrations, APIs, file transfers, ETL/ELT pipelines, and cloud-based data movement processes. - Validate end-to-end data movement across source systems, staging environments, transformation layers, enterprise data platforms, and downstream reporting solutions. - Perform source-to-target validation to verify the completeness, accuracy, timeliness, and traceability of financial and operational data. - Assist in executing three-way reconciliations between source systems, transformed datasets, and reporting platforms to identify and resolve data discrepancies. - Troubleshoot interface failures, schema changes, mapping defects, rejected records, transformation errors, and data processing exceptions while documenting root causes and working with senior engineers to implement technical resolutions. - Support synchronization of master data, reference data, metadata, mappings, and key business attributes required for reliable enterprise reporting. - Support System Integration Testing (SIT), User Acceptance Testing (UAT), cutover validation, production deployments, and post-implementation stabilization activities. - Collaborate with software developers, data engineers, finance organizations, source system owners, and business stakeholders to improve interface reliability and reduce manual processing. - Develop interface specifications, mapping documents, reconciliation procedures, operational runbooks, and technical documentation. - Support ERP modernization initiatives, enterprise system implementations, historical data conversions, and production cutovers. - Monitor production interfaces and assist in identifying opportunities to improve automation, performance, scalability, and operational resilience. - Utilize Power BI, Databricks, Palantir, Celonis Intelligence, SQL, and Python to analyze enterprise data, develop dashboards, and support data quality initiatives. - Support the use of AI-assisted analytics and agentic AI technologies to automate reconciliation, anomaly detection, interface monitoring, and operational support. - Prepare technical documentation, executive briefings, and client deliverables supporting project leadership and decision-making. ## Related Videos - [Why make use of an integration platform in today's software developments and infrastructure?](https://www.wearedevelopers.com/videos/758-why-make-use-of-an-integration-platform-in-today-s-software-developments-and-infrastructure) - [Modern Data Architectures need Software Engineering](https://www.wearedevelopers.com/videos/1030-modern-data-architectures-need-software-engineering) - [Destigmatizing the Workplace: Building Real Inclusion](https://www.wearedevelopers.com/videos/1492-destigmatizing-the-workplace-building-real-inclusion) - [From Messy Queries to Scalable Systems - How Data Engineering actually works](https://www.wearedevelopers.com/videos/100203-from-messy-queries-to-scalable-systems-how-data-engineering-actually-works) - [The Future of Employee Wellbeing: Benefits, Trust & Performance](https://www.wearedevelopers.com/videos/1808-the-future-of-employee-wellbeing-benefits-trust-performance) - [Employee Happiness: The Underrated Growth Engine](https://www.wearedevelopers.com/videos/1310-employee-happiness-the-underrated-growth-engine) ## Related Articles - [Highest Paying Tech Companies for Developers](https://www.wearedevelopers.com/magazine/220-highest-paying-tech-companies-for-developers) - [Making Data Warehouses Fast: A Developer’s Story](https://www.wearedevelopers.com/magazine/107-making-data-warehouses-fast-a-developer-s-story) - [Data Engineer Salary UK](https://www.wearedevelopers.com/magazine/253-data-engineer-salary-uk) - [Why Attend a Developer Event in 2026?](https://www.wearedevelopers.com/magazine/688-why-attend-a-developer-event-in-2026) - [Top-Paying Tech Jobs (with Salaries)](https://www.wearedevelopers.com/magazine/372-top-paying-tech-jobs-with-salaries) - [The 12 Best Jobs for Software Engineers](https://www.wearedevelopers.com/magazine/401-the-12-best-jobs-for-software-engineers)