Senior Data Engineer

Location: Charlotte, NC (Hybrid – 3 Days Onsite)
Job Type: Full-Time

About the Role

We are seeking a highly skilled Senior Data Engineer to join a growing data platform team. This role will be instrumental in designing, building, and optimizing modern data solutions using open-source technologies. The ideal candidate will have hands-on experience across the entire data lifecycle, from data ingestion and transformation to analytics-ready data modeling and cloud deployment.

This is an excellent opportunity for a data engineering professional who enjoys owning solutions end-to-end and contributing to the architecture of scalable, reliable, and high-performance data platforms.

Key Responsibilities

• Design and implement data pipelines that move data from OLTP systems to OLAP/analytical environments.
• Develop and maintain Change Data Capture (CDC) solutions for real-time and near-real-time data movement.
• Build, optimize, and manage data transformation and ETL/ELT processes.
• Design and maintain data models for both transactional and analytical workloads.
• Work with Apache Iceberg to create scalable and efficient analytical datasets.
• Develop streaming and event-driven data solutions using Kafka, Flink, and related technologies.
• Deploy, monitor, and support data platform components within AWS environments.
• Collaborate with engineering and business teams to define scalable data architecture solutions.
• Troubleshoot, optimize, and improve platform performance, reliability, and scalability.
• Participate in technical design discussions and contribute to platform strategy.

Required Qualifications

• Bachelor''s degree in Computer Science, Information Technology, Engineering, or a related field.
• Strong experience in Data Engineering and modern data platform development.
• Hands-on production experience moving data from OLTP systems to OLAP environments.
• Practical experience with Change Data Capture (CDC) architectures and tools.
• Strong understanding of Apache Iceberg and analytical data modeling concepts.
• Experience with ETL/ELT development and data transformation processes.
• Hands-on experience with:
  • Apache Kafka
  • Apache Flink
  • Debezium
• Experience deploying and managing solutions in AWS.
• Strong understanding of both transactional and analytical data modeling.
• Ability to work across infrastructure, platform, and data layers.
• Excellent problem-solving and communication skills.

Preferred Qualifications

• Experience with Databricks.
• Experience with PostgreSQL.
• Background in Financial Services, FinTech, or related industries.
• Exposure to Python and/or PySpark.