CFS · 6 hours ago
Data Engineer
CFS is an organization based in South Bend, IN, seeking a Data Engineer to build and optimize a centralized enterprise data platform. The role focuses on engineering robust ETL/ELT processes and modernizing legacy data workflows to ensure reliable data delivery across the enterprise.
Responsibilities
Design, build, and maintain scalable data pipelines using Databricks, Azure, Python, and Spark
Migrate and modernize legacy SSIS/SSRS workflows into the centralized data platform
Develop robust ETL/ELT processes to integrate data from multiple enterprise systems
Support the design of a unified enterprise data model
Optimize data processing performance and reliability
Ensure data quality, validation, and integrity across pipelines
Partner with BI, analytics, and business teams to support enterprise reporting needs
Contribute to data standards, governance, and architectural best practices
Support the organization’s transition to a modern, centralized data ecosystem
Qualification
Required
Strong experience with Azure data services (Azure Data Factory, Azure SQL, Synapse, etc.)
Hands-on experience with Databricks
Strong proficiency in Python and Spark
Experience developing and optimizing ETL/ELT pipelines
Background working with legacy Microsoft tools such as SSIS and SSRS
Deep understanding of data modeling, transformation logic, and pipeline architecture
Experience consolidating data into centralized or cloud-based platforms
Strong SQL skills
Ability to troubleshoot performance issues and optimize large-scale datasets
Strong communication skills and ability to collaborate cross-functionally
Preferred
Experience supporting enterprise BI/reporting environments
Exposure to ERP, operational, or transactional data systems
Experience in manufacturing, agriculture, supply chain, or similar industries
Familiarity with data governance and best practices