Data Pipeline Engineer

Data Pipeline Engineer – Join Our Team .job-posting-container {font-family: Arial, sans-serif; line-height: 1.6; color: #333; margin: 0; padding: 20px; background-color: #ffffff; box-sizing: border-box;} .job-posting-container * {box-sizing: border-box;} .job-posting-content {background-color: #ffffff; padding: 30px; max-width: 800px; margin: 0 auto; box-shadow: 0 0 10px rgba(0,0,0,0.1); border-radius: 10px;} .job-posting-container h1, .job-posting-container h2 {color: #004080; margin: 15px 0;} .job-posting-container h1 {font-size: 22px;} .job-posting-container h2 {font-size: 20px; border-bottom: 1px solid #ccc; padding-bottom: 5px; margin-top: 30px;} .job-posting-container ul {margin-left: 20px;} .job-posting-container .section {margin-bottom: 25px;} .job-posting-container .highlight {background-color: #eef6ff; padding: 15px; border-left: 4px solid #004080; margin-bottom: 15px; border-radius: 5px;} .job-posting-container strong {color: #333;} .job-posting-container li {margin-bottom: 8px;} Data Pipeline Engineer Location: Charlotte, North Carolina, USA | Employment Type: CTC, W2 | Pay Rate: $60/hour Position Overview This role focuses on designing, developing, and maintaining scalable data ingestion and processing pipelines that support security operations and enterprise data integration needs. Why Join Us? Work with cutting-edge security data technologies and event-driven architectures Contribute to enterprise-wide security operations and observability initiatives Develop solutions that enable AI-driven analytics and automated decision support Collaborate with cross-functional teams on high-impact data engineering projects Key Responsibilities 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 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 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 Qualifications 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 Proficiency in Python, SQL, Kafka, and data pipeline frameworks Experience with REST APIs, JSON/XML, OpenShift/Kubernetes, and Linux Strong understanding of data modeling, transformation, and quality management Knowledge of security logging, monitoring, and SIEM/SOC concepts Experience with identity and access management and observability platforms Ready to Apply? We're looking for a skilled Data Pipeline Engineer to join our growing team and contribute to enterprise security data initiatives. Contact: radhika@dprsolutionsinc.com Phone: 5713657168 Take the next step in your career!