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Data Engineer - Navitus Health Solutions / Lumicera Health Services
Data Engineer
Data Engineer building scalable data pipelines and models on AWS, transforming raw specialty drug data into actionable insights using Python, SQL, and advanced ETL techniques.
About the role
Key Responsibilities
- Design, develop, and maintain robust data pipelines that ingest, transform, and load large volumes of specialty drug benefit data into cloud data warehouses.
- Implement data modeling best practices to support analytics, reporting, and machine‑learning initiatives.
- Collaborate with data scientists, analysts, and product teams to understand data requirements and deliver high‑quality, reproducible datasets.
- Optimize pipeline performance, monitor data quality, and troubleshoot issues in a production environment.
- Leverage AWS services (S3, Redshift, Glue, Lambda) and Python to automate workflows and ensure data security and compliance.
Requirements
- 3+ years of experience as a Data Engineer or similar role in a data‑driven organization.
- Proficiency in Python, SQL, and ETL tooling.
- Hands‑on experience with AWS data services (Redshift, Glue, S3, Lambda).
- Strong understanding of data modeling, schema design, and performance tuning.
- Excellent problem‑solving skills and ability to work collaboratively in a fast‑paced environment.