Data Integration Specialist - Department of Homeland Security

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).