CSpring - Enterprise Data Warehouse (EDW) ETL/Data Engineer

• Implement CI/CD processes for data pipelines using Azure DevOps, YAML pipelines, ARM templates, Bicep, and/or Terraform
• Build monitoring, logging, and auditing solutions using Azure Monitor, Log Analytics, and KQL
• Support code reviews, branching strategies, release management, and engineering standards across environments
• Participate in troubleshooting and production incident response for critical data pipelines

• Lead or contribute to cloud modernization initiatives, including Informatica PowerCenter to Azure Data Factory migrations
• Support migration efforts from on-premises Teradata, Oracle, or SQL Server environments to Azure Synapse or Microsoft Fabric
• Assist with workload assessments, capacity planning, and cloud cost optimization initiatives

• Deep hands-on expertise with Azure Data Factory, including pipelines, datasets, linked services, triggers, parameterization, mapping data flows, and Integration Runtime types (Azure, Self-hosted, and SSIS)
• Strong experience with Azure Databricks and PySpark
• Production experience with one or more of the following: Azure Synapse Analytics (Dedicated SQL Pools, Serverless SQL Pools, Spark Pools) Azure Databricks (Delta Lake, Unity Catalog) Microsoft Fabric (Warehouse, Lakehouse, OneLake)
• Azure Synapse Analytics (Dedicated SQL Pools, Serverless SQL Pools, Spark Pools)

• Strong understanding of Azure Data Lake Storage Gen2, including hierarchical namespace, RBAC/ACL security, lifecycle management, and governance
• Experience with Azure Key Vault, Azure AD / Entra ID, managed identities, service principals, and private networking concepts
• Experience monitoring and troubleshooting data solutions using Azure Monitor, Log Analytics, and KQL
• Advanced SQL skills including window functions, CTEs, query optimization, execution plan analysis, and performance tuning
• Strong Python skills for data engineering, including pandas, PySpark, REST API integration, and unit testing with pytest
• Proficiency with T-SQL and familiarity with Spark SQL, KQL, PowerShell, and Bash scripting

• 5+ years of enterprise data warehouse or data engineering experience
• 5+ years of data modeling experience using ERWIN or similar modeling tools
• 2+ years of experience with Azure Data Factory and Snowflake
• Experience working in healthcare or Medicaid environments

At CSpring, you’ll join a collaborative, mission-driven team focused on helping organizations use technology and data to improve outcomes and drive meaningful change.

We value curiosity, accountability, continuous learning, and building strong partnerships with our clients and communities.If you’re passionate about modern cloud data engineering and want to work on impactful enterprise initiatives, we’d love to hear from you.Source role provided by user: ?filecite?turn0file0?L1-L46?