

E-IT
Senior Data Engineer - BFSI Cloud & Payments Platform
⭐ - Featured Role | Apply direct with Data Freelance Hub
This role is for a Senior Data Engineer in Charlotte, NC (Hybrid) with a contract length of "unknown" and a pay rate of "unknown." Requires 8+ years in Data Engineering, expertise in Apache Kafka, Spark, Python, and BFSI domain experience.
🌎 - Country
United States
💱 - Currency
$ USD
-
💰 - Day rate
Unknown
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🗓️ - Date
August 11, 2026
🕒 - Duration
Unknown
-
🏝️ - Location
Hybrid
-
📄 - Contract
Unknown
-
🔒 - Security
Unknown
-
📍 - Location detailed
Charlotte, NC
-
🧠 - Skills detailed
#PySpark #ML (Machine Learning) #NoSQL #Python #Data Processing #Knowledge Graph #Azure #GCP (Google Cloud Platform) #Batch #Kafka (Apache Kafka) #AI (Artificial Intelligence) #Databases #Apache Kafka #Spark (Apache Spark) #Neo4J #SQL (Structured Query Language) #Graph Databases #Apache Spark #Computer Science #Data Engineering #Observability #Cloud #AWS (Amazon Web Services) #Monitoring
Role description
Role: Senior Data Engineer - BFSI Cloud & Payments Platform
Location: Charlotte, NC (Hybrid)
Role Summary
We are seeking an experienced Senior Data Engineer to design, develop, and optimize large-scale real-time data platforms supporting transaction tracing, reconciliation, observability, analytics, and graph-enabled investigations for Banking and Financial Services (BFSI) clients. The role requires expertise in streaming architectures, event-driven systems, distributed data processing, transaction lifecycle management, and modern cloud data platforms.
Required Qualifications
• Bachelor's or Master's degree in Computer Science, Engineering, Information Technology, or related field.
• 8+ years of experience in Data Engineering and distributed data processing.
• Strong hands-on expertise with:
• Apache Kafka
• Apache Spark/PySpark
• Python
• SQL
• NOSQL DB
• CDC Frameworks
• Event-Driven Architectures
• Graph Databases
• Experience building large-scale streaming and batch processing pipelines.
• Strong understanding of distributed systems and real-time data processing.
• Experience with Operational Data platforms
• Knowledge of transaction processing systems, event correlation, and log analytics.
• Strong troubleshooting, performance tuning, and optimization skills.
Preferred Qualifications
• Banking and Financial Services domain experience.
• Hands-on experience with Payments and Transaction Processing platforms.
• Knowledge of ISO 8583, ACH, RTP, SWIFT, and ISO 20022 standards.
• Experience with Neo4j and Graph Database technologies.
• Familiarity with Knowledge Graph and Graph Analytics solutions.
• Experience supporting observability and transaction monitoring platforms.
• Exposure to AI/ML and GenAI-enabled analytics solutions.
• Cloud certifications in Azure, AWS, or GCP preferred.
Role: Senior Data Engineer - BFSI Cloud & Payments Platform
Location: Charlotte, NC (Hybrid)
Role Summary
We are seeking an experienced Senior Data Engineer to design, develop, and optimize large-scale real-time data platforms supporting transaction tracing, reconciliation, observability, analytics, and graph-enabled investigations for Banking and Financial Services (BFSI) clients. The role requires expertise in streaming architectures, event-driven systems, distributed data processing, transaction lifecycle management, and modern cloud data platforms.
Required Qualifications
• Bachelor's or Master's degree in Computer Science, Engineering, Information Technology, or related field.
• 8+ years of experience in Data Engineering and distributed data processing.
• Strong hands-on expertise with:
• Apache Kafka
• Apache Spark/PySpark
• Python
• SQL
• NOSQL DB
• CDC Frameworks
• Event-Driven Architectures
• Graph Databases
• Experience building large-scale streaming and batch processing pipelines.
• Strong understanding of distributed systems and real-time data processing.
• Experience with Operational Data platforms
• Knowledge of transaction processing systems, event correlation, and log analytics.
• Strong troubleshooting, performance tuning, and optimization skills.
Preferred Qualifications
• Banking and Financial Services domain experience.
• Hands-on experience with Payments and Transaction Processing platforms.
• Knowledge of ISO 8583, ACH, RTP, SWIFT, and ISO 20022 standards.
• Experience with Neo4j and Graph Database technologies.
• Familiarity with Knowledge Graph and Graph Analytics solutions.
• Experience supporting observability and transaction monitoring platforms.
• Exposure to AI/ML and GenAI-enabled analytics solutions.
• Cloud certifications in Azure, AWS, or GCP preferred.






