Data/ETL Engineer
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Job Description
Data Engineer – Snowflake, QNXT
Experience: 5–8 Years
Location: All Ascendion Location
EF ID: 50343296
Role Summary
We are seeking a skilled Data Engineer with expertise in Snowflake, Azure, 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
QNXT Data Integration & Migration
Snowflake Data Warehouse Development
Azure-Based Data Pipelines & Automation
Claims, Membership & Provider Data Processing
Data Quality & Reconciliation Frameworks
Analytics-Ready Data Models and Data Marts
Experience: 5–8 Years
Location: All Ascendion Location
EF ID: 50343296
Role Summary
We are seeking a skilled Data Engineer with expertise in Snowflake, Azure, 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 Azure 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.
- 5+ years of Data Engineering experience.
- Strong hands-on experience with:
- Snowflake
- 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.
- Healthcare domain experience, particularly 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.
QNXT Data Integration & Migration
Snowflake Data Warehouse Development
Azure-Based Data Pipelines & Automation
Claims, Membership & Provider Data Processing
Data Quality & Reconciliation Frameworks
Analytics-Ready Data Models and Data Marts
More Info
About Company
Skills:
data reconciliation , snowflake , Defect Management, Uat Support, Qnxt, Etl Testing, Sql
Skills:
Continuous Integration, Database Technologies, Continuous Deployment, Data Warehouse ETL Testing, Data Validation Techniques, Automated Test Scripts for Data Pipelines, Query Languages
Skills:
Atlassian tools (Jira and Confluence), Bi Reporting, Azure Databricks, Sql, Data Warehouse Testing, Data Migration Testing, Informatica Powercenter, Python, Relational database models, Unix/Linux commands, AI-driven automation, Software test automation tools, XML data models, ETL validation and troubleshooting
Skills:
snowflake , Azure, Sql, Databricks, Etl, Python