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Agent guide: [/agents.md](https://www.wearedevelopers.com/agents.md). --- # Financial Management Data Analyst - **Company:** Systems, Inc - **Location:** Alexandria, VA, United States - **Salary:** $113,126.0 - $130,733.0 - **Contract:** Permanent contract - **Skills:** Agile Methodology, Amazon Web Services, Data Analysis, Microsoft Azure, Information Systems, Continuous Integration, Data Validation, Data Control, Data Governance, Data Structures, Data Systems, Python (Programming Language), PostgreSQL, Meta-Data Management, Microsoft SQL Server, Oracle (Applications), SQL Databases, Data Processing, Data Ingestion, Palantir Foundry, Apache Spark, Git, Pyspark, Information Technology, Data Lineage, Api Design, Software Version Control, Data Pipelines, Databricks - **Published:** October 31, 2026 - **Apply:** https://jobs.localjobnetwork.com/apply/add/88755133/1 ## About the Role * 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, SPA is committed to the principles and practices of equal employment opportunity (EEO) and Affirmative Action. It is, and will continue to be, the policy of the company to afford equal employment opportunities to all qualified individuals. We recruit, hire, train and promote persons in all job titles without regard to race, color, religion, sex, sexual orientation, gender identity, or national origin, age, disability or genetics. In addition to federal law requirements, SPA complies with applicable state and local laws governing nondiscrimination in employment in every location in which the company has facilities. ## Description * 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.