Senior Financial Data Engineer - Secure Federal Pipelines

Silverthorne Advisory Group; Arlington (VA); Hybrid; USD 120,000 - 180,000; Full time

Benefits offered by this job

Flexible work from home

Job summary

Silverthorne Advisory Group is seeking a Senior Financial Data Engineer to design, develop, and maintain data solutions that improve DoW financial data quality, reconciliation accuracy, and reporting. You will work with clients to define requirements, manage data acquisition, and produce reliable financial data products in secure environments.

The role emphasizes transforming diverse datasets, integrating multiple DoW systems, and delivering scalable data solutions using Python, SQL, and modern

Qualifications

• 3–10 years of directly related professional experience.
• Bachelor’s or Master’s degree in a related field (Finance, Accounting, Data Analytics, CS, etc.).
• 3+ years evaluating, transforming, and validating diverse datasets for financial reconciliation or analytics.
• Hands-on experience with DoW financial data and financial management systems.

Responsibilities

• Design, develop, and maintain data pipelines and backend data solutions for DoW financial management and reconciliation.
• Evaluate and structure diverse financial datasets to support accurate reconciliation.
• Collaborate with clients to define, refine, and implement data requirements.
• Automate data processes to improve efficiency and accuracy.
• Ensure data governance and security controls throughout the data lifecycle.

Skills

Python

SQL

Data modeling

Data governance

Secure environments

Education

Bachelor’s or Master’s degree

Tools

WDP/Advana

Foundry

Databricks

Job description

Silverthorne Advisory Group is seeking a Senior Financial Data Engineer to design, develop, and maintain data solutions that improve DoW financial data quality, reconciliation accuracy, and reporting. You will work with clients to define requirements, manage data acquisition, and produce reliable financial data products in secure environments.

The role emphasizes transforming diverse datasets, integrating multiple DoW systems, and delivering scalable data solutions using Python, SQL, and modern