onsite
Data Engineer III - LexisNexis Risk Solutions
Data Engineer
Senior data engineer building scalable, secure data pipelines and analytics platforms for healthcare risk solutions using Python, Spark, SQL, and AWS services.
About the role
Key Responsibilities
- Design, develop, and maintain high‑performance data pipelines that ingest, transform, and load large healthcare datasets.
- Implement scalable ETL processes using Python, SQL, and Apache Spark on AWS cloud infrastructure.
- Collaborate with data scientists, product owners, and security teams to ensure data quality, privacy, and compliance.
- Optimize data models and storage solutions for analytics, reporting, and machine‑learning workloads.
- Monitor, troubleshoot, and improve pipeline reliability and performance using cloud-native tools.
Requirements
- 5+ years of professional experience in data engineering or related fields.
- Strong proficiency in Python, SQL, and Apache Spark for large‑scale data processing.
- Hands‑on experience with AWS services such as S3, Redshift, Glue, and Lambda.
- Demonstrated ability to design robust ETL workflows and data models for complex domains.
- Solid understanding of data security, privacy regulations, and best practices in healthcare data handling.
Skills
pythonsqlapache sparkaws