

Vallum Associates
Data / Pipeline Engineer-Banking Client Experience Required
β - Featured Role | Apply direct with Data Freelance Hub
This role is for a Data / Pipeline Engineer with 5+ years of experience in data engineering, specifically within banking or financial services. It offers a hybrid location in Charlotte/Dallas, a 6-month contract at $60/hr, starting July 13, 2026.
π - Country
United States
π± - Currency
$ USD
-
π° - Day rate
480
-
ποΈ - Date
June 23, 2026
π - Duration
More than 6 months
-
ποΈ - Location
Hybrid
-
π - Contract
Unknown
-
π - Security
Unknown
-
π - Location detailed
Charlotte, NC
-
π§ - Skills detailed
#Observability #Automation #Data Integration #Documentation #Security #Cloud #Scala #JSON (JavaScript Object Notation) #REST API #XML (eXtensible Markup Language) #"ETL (Extract #Transform #Load)" #Kafka (Apache Kafka) #AI (Artificial Intelligence) #Automated Testing #Monitoring #Data Engineering #Deployment #Data Ingestion #Datasets #Compliance #GIT #REST (Representational State Transfer) #Data Processing #Data Quality #ML (Machine Learning) #Linux #SQL (Structured Query Language) #Data Pipeline #Kubernetes #Computer Science #Python
Role description
Job Title: Data / Pipeline Engineer-Banking Client Experience Required
Location: Hybrid, Charlotte/Dallas- US
Duration: 6Months+
Rate: $60/Hr
Start Date: 13 July 2026
Role Overview
We are seeking a Data / Pipeline Engineer to design, build, and maintain scalable data ingestion and processing pipelines supporting a strategic Security Hub platform.
This role will focus on telemetry ingestion, data transformation, event correlation, analytics enablement, and automation capabilities within a complex enterprise security ecosystem.
Key Responsibilities
Data Engineering
β’ Design and develop scalable data ingestion and processing pipelines.
β’ Build telemetry collection, transformation, enrichment, and routing services.
β’ Develop event-driven and streaming data processing solutions.
β’ Ensure secure and reliable movement of data across enterprise systems.
Data Processing & Analytics
β’ Develop correlation and enrichment services.
β’ Support reporting, analytics, and compliance requirements.
β’ Build datasets supporting operational intelligence and automation.
β’ Ensure data quality, traceability, and audit readiness.
Enterprise Data Integration
β’ Integrate data from security, monitoring, observability, cloud, and operational platforms.
β’ Support onboarding of new data sources.
β’ Maintain data consistency across multiple systems.
β’ Implement lifecycle management processes for operational data.
Testing & Operational Support
β’ Develop automated testing frameworks for data pipelines.
β’ Monitor performance, resiliency, and scalability.
β’ Support production deployment and troubleshooting activities.
β’ Create operational documentation and support runbooks.
Required Skills & Experience
β’ 5+ years of Data Engineering, ETL, Streaming, or Pipeline Development experience.
β’ Experience working within Banking, Financial Services, Capital Markets, Insurance, or other highly regulated environments.
β’ Strong hands-on experience with:
β’ Python
β’ SQL
β’ Kafka
β’ Data Pipelines & ETL Frameworks
β’ REST APIs
β’ JSON/XML
β’ OpenShift/Kubernetes
β’ Linux
β’ Git
β’ CI/CD Tools
Preferred Experience
β’ Security Operations, SIEM, SOC, CNAPP, or CSPM environments.
β’ Security telemetry and observability data pipelines.
β’ Kafka-based streaming architectures.
β’ AI/ML and advanced analytics initiatives.
β’ ServiceNow integrations.
β’ Enterprise-scale cloud-native platforms.
Education
Bachelorβs degree in Computer Science, Data Engineering, Information Technology, or related discipline.
Priyanka Sharma
Senior Delivery Consultant
Office: 02033759240
Email: psharma@vallumassociates.com
Job Title: Data / Pipeline Engineer-Banking Client Experience Required
Location: Hybrid, Charlotte/Dallas- US
Duration: 6Months+
Rate: $60/Hr
Start Date: 13 July 2026
Role Overview
We are seeking a Data / Pipeline Engineer to design, build, and maintain scalable data ingestion and processing pipelines supporting a strategic Security Hub platform.
This role will focus on telemetry ingestion, data transformation, event correlation, analytics enablement, and automation capabilities within a complex enterprise security ecosystem.
Key Responsibilities
Data Engineering
β’ Design and develop scalable data ingestion and processing pipelines.
β’ Build telemetry collection, transformation, enrichment, and routing services.
β’ Develop event-driven and streaming data processing solutions.
β’ Ensure secure and reliable movement of data across enterprise systems.
Data Processing & Analytics
β’ Develop correlation and enrichment services.
β’ Support reporting, analytics, and compliance requirements.
β’ Build datasets supporting operational intelligence and automation.
β’ Ensure data quality, traceability, and audit readiness.
Enterprise Data Integration
β’ Integrate data from security, monitoring, observability, cloud, and operational platforms.
β’ Support onboarding of new data sources.
β’ Maintain data consistency across multiple systems.
β’ Implement lifecycle management processes for operational data.
Testing & Operational Support
β’ Develop automated testing frameworks for data pipelines.
β’ Monitor performance, resiliency, and scalability.
β’ Support production deployment and troubleshooting activities.
β’ Create operational documentation and support runbooks.
Required Skills & Experience
β’ 5+ years of Data Engineering, ETL, Streaming, or Pipeline Development experience.
β’ Experience working within Banking, Financial Services, Capital Markets, Insurance, or other highly regulated environments.
β’ Strong hands-on experience with:
β’ Python
β’ SQL
β’ Kafka
β’ Data Pipelines & ETL Frameworks
β’ REST APIs
β’ JSON/XML
β’ OpenShift/Kubernetes
β’ Linux
β’ Git
β’ CI/CD Tools
Preferred Experience
β’ Security Operations, SIEM, SOC, CNAPP, or CSPM environments.
β’ Security telemetry and observability data pipelines.
β’ Kafka-based streaming architectures.
β’ AI/ML and advanced analytics initiatives.
β’ ServiceNow integrations.
β’ Enterprise-scale cloud-native platforms.
Education
Bachelorβs degree in Computer Science, Data Engineering, Information Technology, or related discipline.
Priyanka Sharma
Senior Delivery Consultant
Office: 02033759240
Email: psharma@vallumassociates.com





