Data Engineer / Ops

This individual will apply data operations techniques to define and develop complex data models, flows, interfaces, and infrastructure. Designs databases, populates from multiple sources, and collaborates with architects, SMEs, and Data Scientists to curate/manage data. Ensures data is clean, reliable, and accessible.

Complies with data classification and security requirements. Coordinates implementation of program and system specifications and supports pipeline and LLM-related data preparation tasks.

• Bachelor’s in Data Engineering, CS, IT, or related field.
• Minimum 5 years in data operations, processing, cleansing.
• Strong DataOps, schema design, SQL, R, Python, Hive experience.
• Data mining, structured/unstructured data analysis.
• Experience developing Data Dictionaries.
• Strong communication and ability to work independently.