Senior Data Engineer: Real-Time Pipelines & Graph Analytics

Arkhya Tech. Inc.; Charlotte (NC); On-site; USD 130,000 - 180,000; Full time

Job summary

Arkhya Tech. Inc. seeks an senior Data Engineer with extensive experience to design and optimize real-time streaming and batch data pipelines. You will work across Kafka, Spark/PySpark, Python, SQL/NoSQL and graph tech to drive scalable analytics in a banking/fintech context.

The role emphasizes hands-on development, performance tuning, and collaboration with data platform teams on cloud platforms and operational data stores.

Qualifications

• Over a decade in data engineering with focus on large-scale architectures.
• Hands-on with real-time streaming and batch data pipelines.
• Experience in banking/financial services data platforms is a plus.

Responsibilities

• Build and optimize large-scale real-time streaming and batch data pipelines.
• Implement event-driven architectures and data quality controls.
• Work with graph databases and analytics to derive insights.

Skills

Kafka

Spark/PySpark

Python

SQL

NoSQL

CDC frameworks

Event-driven architectures

Tools

Neo4j

Job description

Arkhya Tech. Inc. seeks an senior Data Engineer with extensive experience to design and optimize real-time streaming and batch data pipelines. You will work across Kafka, Spark/PySpark, Python, SQL/NoSQL and graph tech to drive scalable analytics in a banking/fintech context.

The role emphasizes hands-on development, performance tuning, and collaboration with data platform teams on cloud platforms and operational data stores.