Job description

Description: • *Position Overview** The Department of Homeland Security (DHS) seeks a **Data Integration Specialist** to lead the unification of siloed data systems for the **Business Resource Integration Dashboard for Government Efficiency (BRIDGE)** initiative. This role will architect and deploy scalable data pipelines, ensuring seamless interoperability across financial, HR, procurement, and operational systems. The ideal candidate will bridge legacy platforms with modern AI-driven analytics while enforcing federal compliance standards. • *Key Responsibilities** • *1. Data Pipeline Development & Automation** • Design and implement **ETL/ELT workflows** to ingest, cleanse, and harmonize data from 100+ disparate sources (e.g., SAP, ServiceNow, custom databases). • Automate data validation rules to ensure accuracy for **budget execution, contract performance, and workforce analytics**. • Optimize pipelines for performance (e.g., Apache Spark, Databricks) and compliance with **NIST SP 800-53, FISMA, and Privacy Act**. • *2. System Interoperability** • Develop APIs and middleware to connect legacy systems with cloud platforms (**AWS, Azure**) and the BRIDGE analytics environment. • Map data lineages and metadata schemas to enable cross-domain reporting (e.g., procurement spend vs. HR staffing levels). • Partner with IT teams to enforce **FedRAMP** standards for cloud integrations. • *3. Governance & Compliance** • Document data flows, security controls, and audit trails for **A-123, CFO Act, and GAAP** requirements. • Conduct **FISMA-compliant** vulnerability scans on integrated systems. • Train stakeholders on data stewardship protocols and access governance. • *4. Emerging Technology Adoption** • Pilot **AI/ML models** (e.g., anomaly detection in financial transactions) using integrated datasets. • Recommend modernization roadmaps to replace manual processes (e.g., contract oversight tracking). Requirements: Education: Bachelor’s degree in Computer Science, Information Systems, or related technical field. • Experience: • 5+ years in data integration, including ETL development and API management. • Expertise in SQL, Python, Java, and integration tools (e.g., Informatica, MuleSoft). • Proven track record with federal data standards (NARA, FISMA, GAAP).

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