Data Engineer-Snowflake, AWS and QNXT
Job description
We are seeking a skilled Data Engineer with expertise in Snowflake, AWS, and QNXT to design, build, and optimize scalable healthcare data platforms and analytics solutions. The ideal candidate will have strong experience developing end-to-end data pipelines, integrating healthcare data from QNXT, and enabling reporting, analytics, and operational insights through modern cloud technologies.
Key responsibilities
Design, develop, and maintain scalable data pipelines using AWS and Snowflake. Ingest, transform, and integrate healthcare and claims data from QNXT and related source systems. Build and optimize ETL/ELT workflows for large-scale data processing. Develop and maintain Snowflake data models, schemas, and data marts. Ensure data quality, governance, security, and compliance across the data lifecycle. Collaborate with business, analytics, and reporting teams to deliver trusted datasets and insights. Support performance tuning, monitoring, and troubleshooting of data platforms and pipelines. Implement data validation, reconciliation, and automation processes.
Requirements
5+ years of Data Engineering experience. Strong hands-on experience with: Snowflake AWS (S3, Lambda, Glue, Redshift, EMR, Step Functions) SQL and Data Modelling Python or Spark ETL/ELT Development Experience working with QNXT healthcare platforms, claims, eligibility, provider, and membership data. Strong understanding of data warehousing concepts and best practices. Experience with CI/CD, version control, and agile development methodologies.
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About
At RSNGINFO, we prioritize customer needs and dedicate ourselves to quality creations that aim to meet every aspect of our client’s requirements. We collaborate and contribute our expertise to adapt the best ways to improve our product services that are accessible, light, and easy to implement.