Technical Specialist, Data Engineering - Charlotte, NC (Hybrid)

TEEMA
United States
about 2 months ago
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Role details

Contract type
Permanent contract
Employment type
Full-time (> 32 hours)
Compensation
$140,000.0 - $160,000.0
Working hours
Regular working hours
Job source

Tech stack

Amazon Web Services Apache HTTP Server Information Engineering Extract Transform Load (ETL) Data Transformation Data Migration Python (Programming Language) PostgreSQL Online Analytical Processing Online Transaction Processing Enterprise Data Management Change Data Capture
+7 more
Data Layers Pyspark Debezium Apache Flink Apache Kafka Data Pipelines Databricks

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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