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
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💰 - Day rate
Unknown
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🗓️ - Date
August 11, 2026
🕒 - Duration
Unknown
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🏝️ - Location
Hybrid
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📄 - Contract
Unknown
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🔒 - Security
Unknown
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📍 - Location detailed
Charlotte, NC
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🧠 - 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.