Data / Pipeline Engineer-Banking Client Experience Required- GC & USC Only

Job Title: Data / Pipeline Engineer Location: Hybrid, Charlotte/NJ- US Duration: 6Months+ Rate: $60/Hr C2C GC & USC candidates only Position Summary The Data / Pipeline Engineer is responsible for designing, building, and supporting the data ingestion, normalization, correlation, and processing pipelines that power the Security Hub platform. This role will develop scalable, event-driven data services that collect, enrich, transform, and route telemetry from enterprise and DPC platforms into Security Hub for detection, analytics, workflow orchestration, compliance reporting, and AI-assisted operations. The Data / Pipeline Engineer will play a critical role in establishing Security Hub as the authoritative system of record for security findings by ensuring data quality, integrity, traceability, and operational reliability across all integrated systems. Key Responsibilities Data Pipeline Engineering · Design, develop, and maintain scalable data ingestion and processing pipelines. · Build telemetry collection, transformation, enrichment, and routing services. · Implement event-driven data processing architectures supporting real-time and batch workloads. · Ensure reliable and secure movement of data across enterprise and DPC platforms. Telemetry Ingestion & Normalization · Develop services to ingest security events, metrics, logs, findings, and scan results. · Normalize disparate data sources into a common Security Hub data model. · Implement data quality controls, validation rules, and reconciliation processes. · Support onboarding of new telemetry sources and data feeds. Event Correlation & Analytics Enablement · Develop correlation and enrichment services supporting detection and response workflows. · Implement data aggregation and contextualization capabilities. · Support creation of operational, compliance, and executive reporting datasets. · Enable analytics and AI-driven operational use cases. Enterprise Data Integrations Support ingestion and processing of data from: · Keycloak · Ranger · OpenShift APIs · Kafka · LGTM · StorageGRID · DataHub · Vault/Venafi · ServiceNow · Enterprise observability and monitoring platforms · Security scanning and compliance tools Security Hub System of Record · Support implementation of Security Hub as the centralized repository for security findings. · Ensure data traceability, lineage, retention, and auditability. · Implement lifecycle management processes for findings and related metadata. · Maintain data consistency across integrated platforms. AI & Automation Enablement · Develop datasets and services supporting AI-assisted triage and remediation. · Implement enrichment and contextualization pipelines for AI-enabled workflows. · Support risk prioritization and operational analytics capabilities. · Enable data-driven automation and decision support. Testing & Operational Support · Develop automated testing for data pipelines and processing services. · Validate pipeline performance, scalability, and resiliency. · Support production deployments and operational monitoring. · Participate in troubleshooting and post-production hypercare activities. Required Skills & Experience Experience · 5+ years of data engineering, ETL, streaming, or pipeline development experience. · Experience building large-scale data ingestion and processing solutions. · Experience supporting cloud-native and event-driven architectures. · Experience working with security, operational, or observability data. Technical Skills · Python · SQL · Kafka · Data Pipelines & ETL Frameworks · Event Streaming Platforms · REST APIs · JSON / XML · OpenShift / Kubernetes · Linux · Git · CI/CD Tools Data Technologies · Data Modeling · Data Transformation · Data Quality Management · Data Lineage · Data Correlation & Enrichment · Structured and Semi-Structured Data Processing Security & Operational Knowledge · Security Logging & Monitoring · SIEM/Security Operations Concepts · Identity & Access Management · Observability Platforms · Security Event Processing Preferred Qualifications · Experience building telemetry pipelines for security platforms, SIEMs, SOCs, CNAPP, or CSPM solutions. · Experience with Kafka-based architectures and event-driven processing. · Experience with OpenShift and cloud-native deployments. · Experience supporting AI/ML or advanced analytics initiatives. · Experience with ServiceNow integrations and workflow platforms. · Financial services or highly regulated industry experience. Key Deliverables · Telemetry Ingestion Pipelines · Data Normalization Services · Event Correlation & Enrichment Services · Security Findings Data Model · Data Quality & Validation Frameworks · Reporting & Analytics Datasets · AI Enablement Data Services · Pipeline Monitoring & Operational Dashboards · Data Flow Documentation · Operational Runbooks Success Measures · Reliable ingestion and processing of security telemetry across all integrated systems · Accurate normalization and correlation of security findings · High data quality, traceability, and audit readiness · Achievement of performance and scalability objectives · Successful enablement of reporting, automation, and AI-driven capabilities · Minimal production issues and operational disruptions · Successful support of Security Hub as the enterprise system of record Role Distinction Data / Pipeline Engineer · Designs, develops, and operates telemetry ingestion, normalization, correlation, enrichment, and analytics data pipelines that power Security Hub operations. Priyanka Sharma Senior Delivery Consultant Office: 02033759240 Email: psharma@vallumassociates.com