remote
Data Engineer- Full Time Opportunity, NOT C2C - Codoxo
Data Engineer
Data Engineer role focused on building scalable data pipelines and modeling for AI-driven fraud detection in healthcare, leveraging Python, SQL, AWS, and Big Data technologies.
About the role
Key Responsibilities
- Design, develop, and maintain robust ETL pipelines to ingest, transform, and load large volumes of healthcare data into cloud data warehouses.
- Implement data models and schemas that support advanced analytics and machine learning workflows for fraud, waste, and abuse detection.
- Collaborate with data scientists and product teams to optimize data quality, lineage, and performance across the data ecosystem.
- Utilize AWS services (S3, Redshift, Glue, Lambda) to build scalable, cost‑efficient data solutions.
- Monitor, troubleshoot, and tune data pipelines, ensuring high availability and reliability.
Requirements
- 3+ years of experience as a Data Engineer or similar role in a data‑centric environment.
- Experience with Big Data technologies (Spark, Hive, or similar) is a plus.
- Excellent problem‑solving skills and ability to work collaboratively in a fast‑paced setting.