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Responsibilities
Fully hands-on Data Engineering role within a large-scale healthcare data platform initiative.Responsible for building and maintaining AWS-based data pipelines for mainframe source data processing and validation.Requirements:5+ years of professional Data Engineering experience with data pipelines and ETL/ELT workflows.Hands-on experience with AWS services including S3, Glue, and RDS/Aurora.Proven experience with real-time data streaming pipelines using Kafka.Strong background in data reconciliation, quality checks, and validation processes.Experience with AWS RDS or Aurora PostgreSQL.Proficiency in GitHub repository management and CI/CD automation using GitHub Actions.Experience with AI tools for workflow automation is preferred.Familiarity with MongoDB or NoSQL databases is a plus.Knowledge of mainframe or legacy system data integration is a plus but not required.Benefits:Compensation of $65/hr (W2).Fully remote position (US).
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