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Über
Design, develop, and maintain end-to-end data pipelines using Databricks (Spark, PySpark, SQL) to ingest, transform, and curate structured and semi-structured data from authoritative DoD source systems. Engineer and optimize data models, Delta tables, and curated datasets to support financial reporting, PPBE workflows, auditability, and mission analytics within Advana and downstream Foundry use cases. Develop, maintain, and deploy Foundry pipelines, transforms, and data products, enabling traceability, lineage, and repeatable analytics workflows for DoD stakeholders. Implement and manage CI/CD and version-controlled data engineering workflows using Git-based repositories and automated deployment patterns aligned with DoD security and ATO requirements. Build and deploy cloud-native solutions in secure AWS and Azure environments, supporting IL4/IL5 architectures as applicable, and leveraging containerization where approved. Partner with functional SMEs, financial analysts, platform engineers, and governance teams to ensure data pipelines conform to DoD financial data standards, business rules, and controls. Implement robust data quality, reconciliation, validation, and monitoring capabilities to support financial accuracy, audit readiness, and confidence in reported metrics. Support data integration, modernization, and migration efforts, including onboarding legacy financial systems and transitioning workloads to Databricks and Foundry within Advana. Troubleshoot and resolve pipeline, performance, and data integrity issues in production environments, ensuring high availability and reliability in mission-critical systems. Document data flows, engineering designs, and operational procedures to support compliance, knowledge transfer, and platform accreditation. Stay current on emerging data engineering, analytics platform, and DevSecOps best practices relevant to DoD enterprise data environments. Requirements:
US Citizenship is required. Must have an ACTIVE and MAINTAINED "SECRET" Federal or DoD security clearance with the ability to meet all client security and access requirements. Bachelor’s degree obtained Minimum FIVE (5) years of experience in data engineering, analytics engineering, or software development, preferably in regulated or federal environments. Strong proficiency in Python, SQL, PySpark, and Spark-based data processing. Demonstrated hands-on experience with Databricks, including Delta Lake, notebook development, performance tuning, and production pipelines; experience supporting or integrating with DoD Advana is highly desirable. Experience building or supporting data solutions using Palantir Foundry, including pipelines, transforms, 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. Familiarity with Git-based version control, CI/CD concepts, and Agile delivery methodologies in secure environments. Experience handling federal financial data, including budget, execution, and accounting data, with an understanding of data controls and reconciliation needs. 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. Benefits:
Medical, Rx, Dental & Vision Insurance Personal and Family Sick Time & Company Paid Holidays Position may be eligible for a discretionary variable incentive bonus Parental Leave and Adoption Assistance 401(k) Retirement Plan Basic Life & Supplemental Life Health Savings Account, Dental/Vision & Dependent Care Flexible Spending Accounts Short-Term & Long-Term Disability Student Loan PayDown Tuition Reimbursement, Personal Development & Learning Opportunities Skills Development & Certifications Employee Referral Program Corporate Sponsored Events & Community Outreach Emergency Back-Up Childcare Program Mobility Stipend
Sprachkenntnisse
- English
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