Senior Financial Data Engineer

Location: Pentagon or Mark Center (approximately 2x a week)

Clearance: Active Secret Clearance Required

Employment Type: Fulltime Salaried

Experience Level: Experienced/Senior

Education: Bachelor’s or Master’s Degree

Years of

Experience:

3–10 years of directly related experience

Silverthorne Advisory Group is seeking an Senior Financial Data Engineer to support Department of War (DoW) financial management initiatives. The Financial Data Engineer will design, develop, integrate, and maintain data solutions that improve financial data quality, reconciliation accuracy, system integration, data governance, and mission-focused financial decision-making.

The successful candidate will apply both technical and functional expertise across the DoW financial management environment. This role will evaluate and structure diverse financial datasets, integrate and interpret information from multiple systems, and develop data solutions that support accurate financial execution and reporting.

The Financial Data Engineer will work directly with clients and stakeholders to define requirements, manage data acquisition activities, develop and validate datasets, and produce reliable, actionable financial data products. This position requires strong data engineering capabilities, financial data expertise, attention to detail, and the ability to operate effectively within secure environments.

• Design, develop, and maintain data pipelines and backend data solutions supporting DoW financial management and reconciliation activities.
• Evaluate, analyze, and structure diverse financial datasets to support accurate and complete financial reconciliation.
• Interpret, align, and synthesize complex data from multiple DoW systems and sources.
• Work with WDP/Advana, Foundry, Databricks
  , and other enterprise data platforms to develop and support financial data solutions.
• Support the integration of financial systems, datasets, and business processes to improve data accuracy and usability.
• Manage the data acquisition lifecycle, including identifying required data populations, sources, data elements, and requirements for developing supporting datasets.
• Collaborate directly with clients and stakeholders to define, refine, document, and implement business and data requirements.
• Engineer backend data solutions and manipulate large datasets using Python, SQL
  , and related technologies.
• Develop and implement programmatic business rules for data enrichment, cleansing, transformation, validation, and reconciliation.
• Automate recurring data and financial management processes to improve efficiency, accuracy, and scalability.
• Perform data quality assessments and identify discrepancies, gaps, anomalies, and reconciliation issues.
• Apply data governance principles and ensure appropriate security controls and compliance throughout the data lifecycle.
• Support financial analysis, reporting, reconciliation, audit readiness, and financial transformation activities.
• Communicate analytical findings, data quality issues, and recommendations clearly to technical and non-technical stakeholders.
• Support senior leaders and client organizations with accurate, reliable, and mission-focused financial data.

• 3–10 years of directly related professional experience.
• Bachelor’s or Master’s degree in Finance, Accounting, Business, Economics, Data Analytics, Information Systems, Computer Science, Data Engineering, or a related field.
• 3+ years of experience evaluating, transforming, and validating diverse datasets for financial reconciliation, reporting, or analytics.
• Demonstrated ability to interpret, align, and synthesize complex data from multiple DoW systems and sources.
• Hands‑on experience…