Senior Financial Data Engineer

Silverthorne Advisory Group, LLC.; Virginia; Hybrid; USD 130,000 - 170,000; Full time

Job summary

Silverthorne Advisory Group is seeking a Senior Financial Data Engineer to design, develop, and maintain data solutions for a federal client. You will work with DoD financial systems to improve data quality, reconciliation, and decision-making within secure environments.

Ideal candidates bring 3–10 years of directly related experience, a Bachelor’s or Master’s degree, and an active Secret Clearance. Proficiency with Python, SQL, WDP/Advana, Foundry, and Databricks is highly valued.

Qualifications

• 3–10 years of directly related experience.
• Active Secret Clearance required.
• Experience in DoD financial data or financial management preferred.
• Strong data engineering capabilities and attention to detail.

Responsibilities

• Design, develop, and maintain data pipelines for DoD financial management and reconciliation.
• Evaluate and structure diverse financial datasets from multiple DoD sources.
• Collaborate with clients and stakeholders to define and implement data requirements.
• Engineer backend data solutions and manipulate large datasets with Python and SQL.
• Automate recurring data processes to improve efficiency and accuracy.
• Apply data governance principles and ensure security controls throughout the data lifecycle.

Skills

Python

SQL

Data pipelines

Education

Bachelor’s or Master’s Degree

Tools

WDP/Advana

Foundry

Databricks

Job description

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

Position Overview

Silverthorne Advisory Group is seeking an Senior Financial Data Engineer to support a federal client's 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.

Key Responsibilities

• 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.

What You’ll Bring

The ideal candidate is a financial data engineering professional who can bridge the gap between financial management, technology, and data. You should be comfortable working with large and complex financial datasets, developing data pipelines and transformation processes, identifying data quality issues, and partnering with stakeholders to translate financial requirements into scalable technical solutions.

Experience with WDP/Advana, Foundry, and Databricks, combined with knowledge of DoD financial data, public accounting, or financial management, will be highly valuable in this role.

You will be successful in this position if you are analytical, detail-oriented, technically capable, and able to operate effectively in a secure federal environment while maintaining a strong focus on data quality, accuracy, governance, and mission outcomes.

Why Join Silverthorne Advisory Group?

Silverthorne Advisory Group provides professionals with the opportunity to support meaningful federal missions while working alongside experienced consultants and client organizations. Our team values innovation, collaboration, technical excellence, and delivering measurable results for our clients.