Job 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

Design and develop scalable data ingestion and processing pipelines.
Build telemetry collection, transformation, enrichment, and routing services.
Develop event-driven and streaming data processing solutions.
Ensure secure and reliable movement of data across enterprise systems.

Data Processing & Analytics

Develop correlation and enrichment services.
Support reporting, analytics, and compliance requirements.
Build datasets supporting operational intelligence and automation.
Ensure data quality, traceability, and audit readiness.

Enterprise Data Integration

Integrate data from security, monitoring, observability, cloud, and operational platforms.
Support onboarding of new data sources.
Maintain data consistency across multiple systems.
Implement lifecycle management processes for operational data.

Testing & Operational Support

Develop automated testing frameworks for data pipelines.
Monitor performance, resiliency, and scalability.
Support production deployment and troubleshooting activities.
Create operational documentation and support runbooks.

Required Skills & Experience

5+ years of Data Engineering, ETL, Streaming, or Pipeline Development experience.
Experience working within Banking, Financial Services, Capital Markets, Insurance, or other highly regulated environments.
Strong hands-on experience with:
Python
SQL
Kafka
Data Pipelines & ETL Frameworks
REST APIs
JSON/XML
OpenShift/Kubernetes
Linux
Git
CI/CD Tools