Financial Management Data Analyst

United States

$113,126.27 USD / year

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Job details

Pay: $113,126.27 USD / year
Experience: 3-10 years of relevant experience and a Bachelor's degree in Computer Science, Information Systems, Engineering, or a related field
Posting language: English
Posted: Oct 28, 2026

Original job description

Overview

Intrepid, an SPA Company, brings more than 20 years of experience supporting the Department of Defense and U.S. Government, consistently setting the standard for excellence in the federal marketplace. Committed to advancing the mission of the U.S. Warfighter, Intrepid leverages technological superiority to deliver innovative solutions across air, space, land, and sea domains. We are proud to foster a collaborative, dynamic work environment, offering competitive compensation and an industry-leading 401k contribution. Our team is built through merit and achievement, and we’re always looking for the best and brightest to join us in our growth. We treat our people like family, we are mission-focused, and we give back! Join us today. Our Financial Management & Business Analysis Portfolio supports the U.S. Army Space and Missile Defense Command (USASMDC); the Office of the Assistant Secretary of the Army (ASA) Financial Management and Comptroller (FM&C); the U.S. Army Financial Management Command (USAFMCOM); the Defense Health Agency (DHA); and many other DoD customers. We ensure the Army FM systems and processes are modernized and integrated to provide a complete range of financial and cost information needed for the Army to conduct business transactions, provide accountability to the public, and to support performance reporting and decision making. We provide effective functional systems support, user technical support, training support, and governance support of the Army's modernized and deployed FM domain ERP systems (GFEBS / GFEBS-SA / GCSS-A (Finance)), ensuring technological capabilities maturation and evolution aligns with Army and FM domain goals and objectives. We are looking for a Financial Management Data Analyst to support the Defense Health Agency.

Responsibilities

Support the design, development, and maintenance of scalable, production-ready data pipelines and data products using Spark (Python/SQL) in a Databricks environment.
Support the integration and transformation of complex data from diverse DoW and federal financial management systems and sources into reliable, reusable data products.
Support the design of scalable approaches for data ingestion, integration, and exchange, including API-based integrations and services.
Establish and promote standards and best practices that improve consistency, scalability, and maintainability across data products.
Assist in monitoring, troubleshooting, and optimizing production workflows and data pipelines, identifying performance, reliability, and scalability improvements.
Define and implement data validation, quality, and governance practices that improve the reliability and usability of data products.
Collaborate with engineers, architects, analysts, and customer stakeholders to translate complex data needs into scalable technical solutions.
Proactively identify opportunities to improve tools, processes, and patterns and help drive their adoption across the team.
Take ownership of complex technical areas and help maintain data quality, consistency, and cohesion as the platform and portfolio of data products grow.

Qualifications

Required Qualifications

Possess an active DoD SECRET clearance
3-10 years of relevant experience and a Bachelor's degree in Computer Science, Information Systems, Engineering, or a related field
Experience in Python, SQL, PySpark, and Spark-based data processing
Experience building or supporting data solutions using Palantir Foundry, including pipelines, workshops, transformations, datasets, and data lineage
Experience working with relational and analytical data stores (e.g. Databricks, Oracle, Postgres, SQL Server) and applying sound data modeling principles
Experience handling federal financial data, including budget, execution, and accounting data, with an understanding of data controls and reconciliation needs
Possess analytical and problem-solving skills.
Travel Required up to 20% based on client needs

Desired Qualifications

Direct experience supporting DoW financial, PPBE, comptroller/CFO, or audit-related programs
Experience integrating Palantir with DoD Advana
Understanding of and experience with Federal financial systems (e.g., GFEBS, Navy ERP, DAI, DEAMS) and Federal financial management and accounting concepts, data structures, and policy (e.g., Treasury Financial Manual, OMB Circular A-123, SFFAS, USSGL)
Ability to operate independently in a fast-paced, mission-focused environment
Strong analytical, troubleshooting, and communication skills, including the ability to translate complex technical concepts for both technical and non-technical audiences
Familiarity with Git-based version control, CI/CD concepts, and Agile delivery methodologies in secure environments
Prior experience working directly within the Advana/Vantage ecosystems or adjacent DoD enterprise analytics platforms
Certifications (Palantir, AWS, Azure, Databricks)
Familiarity with data governance, metadata management, lineage, and access controls in classified or controlled unclassified environments.
Understanding of DoW data, security, and compliance frameworks (e.g., RMF, ATO processes)
Previous consulting experience supporting federal or defense clients

Pay Range Information

At SPA, we strive to deliver a robust total compensation package that will attract and retain top talent. Elements of the compensation package include competitive base pay and variable compensation opportunities. SPA provides eligible employees with an opportunity to enroll in a variety of benefit programs, generally including health insurance, flexible spending accounts, health savings accounts, retirement savings plans, life and disability insurance programs, and a number of programs that provide for both paid and unpaid time away from work. The specific programs and options available to any given employee may vary depending on eligibility factors such as geographic location, date of hire, etc. Please note that the salary information shown below is a general guideline only. Salaries are commensurate with experience and qualifications, as well as market and business considerations. , Pay Transparency Salary range: USD $113,126.27/Yr. - USD $130,732.84/Yr.

Support the design, development, and maintenance of scalable, production-ready data pipelines and data products using Spark (Python/SQL) in a Databricks environment.
Support the integration and transformation of complex data from diverse DoW and federal financial management systems and sources into reliable, reusable data products.
Support the design of scalable approaches for data ingestion, integration, and exchange, including API-based integrations and services.
Establish and promote standards and best practices that improve consistency, scalability, and maintainability across data products.
Assist in monitoring, troubleshooting, and optimizing production workflows and data pipelines, identifying performance, reliability, and scalability improvements.
Define and implement data validation, quality, and governance practices that improve the reliability and usability of data products.
Collaborate with engineers, architects, analysts, and customer stakeholders to translate complex data needs into scalable technical solutions.
Proactively identify opportunities to improve tools, processes, and patterns and help drive their adoption across the team.
Take ownership of complex technical areas and help maintain data quality, consistency, and cohesion as the platform and portfolio of data products grow.