Data Engineer-QNXT | Remote role | USC Only.
About The Position
We are seeking a skilled Data Engineer to design, build, and optimize scalable healthcare data platforms and analytics solutions using Snowflake, AWS, and QNXT. The role focuses on developing end-to-end data pipelines, integrating healthcare data from QNXT, and enabling reporting, analytics, and operational insights through cloud technologies. The Data Engineer will build and maintain AWS- and Snowflake-based data pipelines, ingest and transform healthcare and claims data, develop Snowflake data models and data marts, and support data quality, governance, security, and compliance. The role also collaborates with business, analytics, and reporting teams and supports performance tuning, monitoring, troubleshooting, validation, reconciliation, and automation. Key deliverables include QNXT data integration and migration, Snowflake data warehouse development, AWS-based data pipelines and automation, processing claims, membership, and provider data, and data quality and reconciliation frameworks. Applicants must include a valid LinkedIn profile link; applications without one will not be considered.
Requirements
- At least 5 years of Data Engineering experience.
- Strong hands-on experience with Snowflake.
- Strong hands-on experience with AWS, including S3, Lambda, Glue, Redshift, EMR, and Step Functions.
- Strong hands-on experience with SQL and data modelling.
- Strong hands-on experience with Python or Spark.
- Strong hands-on experience with ETL/ELT development.
- Experience working with QNXT healthcare platforms and 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.
- A valid LinkedIn profile link must be included with the resume.
Nice To Haves
- Healthcare domain experience, particularly in Payer or Managed Care environments.
- Experience with data orchestration tools such as Airflow or AWS-native services.
- Knowledge of HIPAA and healthcare data compliance requirements.
- Exposure to Power BI, Tableau, or other BI platforms.
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.
- Integrate and migrate QNXT data; develop Snowflake data warehouses and AWS-based pipelines and automation.
- Process claims, membership, and provider data and develop data quality and reconciliation frameworks.
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What This Job Offers
Job Type
Full-time
Career Level
Mid Level
Education Level
No Education Listed
