This Data Engineer Consultant position is with a healthcare insurance industry client where you’ll join their Data Engineering development team. You’ll be responsible for the design, development, testing, and deployment of enterprise data solutions using both on-premises and cloud technologies.
Requirements
- Design, develop, and implement data integration pipelines and data warehouse solutions using Snowflake, dbt Cloud, and Azure technologies (ADLS, Synapse)
- Build and optimize production-ready data workflows, ensuring high performance, reliability, and scalability
- Create and maintain data pipelines following Data Vault architectural principles for warehouse modeling
- Work with Collibra for data governance, quality assurance, and metadata management
- Leverage Refuel.ai for data mastering and Striim for data validation processes
- Assist in troubleshooting and resolving data pipeline issues by analyzing end-to-end workflows
- Collaborate with client stakeholders to translate requirements into effective data solutions
- Support data visualization and reporting needs through Tableau
- Implement CI/CD practices using Git repositories and modern DevOps tools
- Participate in an Agile/DevSecOps pod model alongside solution architects, data modelers, analysts, and business partners
To apply for this job please visit recruiterflow.com.

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