Technical Specialist, Data Engineering - Charlotte, NC (Hybrid)
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Role details
Tech stack
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Requirements
In this role, you’ll own the end-to-end data pipeline, moving data from OLTP (transactional) systems into OLAP (analytical) environments. You’ll design data models, implement Change Data Capture (CDC) solutions, build robust ETL/data transformation pipelines, and develop a scalable analytics platform using Apache Iceberg, Debezium, Apache Kafka, Apache Flink, and AWS.
We’re seeking an engineer with hands-on production experience designing and supporting enterprise data platforms-not candidates whose experience is limited to personal or side projects. The ideal candidate has strong expertise in OLTP-to-OLAP data movement, Apache Iceberg, CDC, data modeling, and AWS, with the ability to work across the entire solution-from infrastructure through the data layer.
Experience with Databricks, PostgreSQL, Python, PySpark, or the financial services industry is a plus but not required.
This role is perfect for someone who enjoys solving complex technical challenges, influencing architecture, and building solutions that make a lasting impact. Although this is an individual contributor position, there is a clear path to technical leadership for candidates who demonstrate exceptional technical ability, initiative, and leadership potential.
Benefits & conditions
4.04.0 out of 5 stars North Carolina Hybrid work $140,000 - $160,000 a year - Full-time
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