Senior Data Engineer

Senior Data Engineering

Location: Charlotte, NC

Work Schedule: Hybrid – 3 days onsite required

OUT OF STATE CANDIDATES WILL AUTOMATICALLY BE REJECTED

This is a full-time role; Client will not provide sponsorship.

We are seeking a Technical Specialist, Data Engineering to join a strategic in-house data platform build. This role will be a key contributor to the development of AxeoS’ internal data platform as the team shifts away from a previous vendor partnership and moves toward an open-source, vendor-neutral technology approach.

The ideal candidate will bring strong hands-on production experience across data movement, CDC, data modeling, ETL, and open-source data technologies. This person should be comfortable working across the full solution, from infrastructure awareness to the data layer, and should be able to contribute both technical depth and a fresh industry perspective.

Key Responsibilities:

• Support the design and buildout of an internal data platform using open-source and vendor-neutral technologies.
• Move data from OLTP transactional systems into OLAP analytical environments.
• Design and support data models across both transactional and analytical databases.
• Implement and work with Change Data Capture processes and tools.
• Build and maintain ETL/data transformation workflows.
• Work with technologies such as Apache Iceberg, Debezium, Apache Flink, Apache Kafka, and
• AWS.Collaborate closely with internal product and engineering leads who bring deep AxeoS platform knowledge.
• Contribute to the overall architecture, scalability, and reliability of the data platform.

Required Qualifications:

• Hands-on production experience moving data from OLTP systems to OLAP platforms.
• Practical experience with Change Data Capture concepts and tools.
• Strong understanding of Apache Iceberg, including table formats and OLAP data modeling.
• Solid data modeling experience across both OLTP and OLAP environments.
• End-to-end ETL and data transformation experience.
• Experience working with open-source data tools such as Debezium, Apache Flink, and Apache Kafka.
• AWS experience, including the ability to deploy and manage data solutions with infrastructure awareness.
• Ability to understand and contribute across the full solution, from infrastructure to the data layer.

Nice-to-Have

• SkillsDatabricks experience, especially where it can bring efficiency to the platform.
• PostgreSQL experience.
• Financial services industry background.
• Python or PySpark familiarity; conceptual understanding is valued, though pure coding ability is not the main focus.