Data Engineer
Location: South Bend, IN (Hybrid)
Salary: Up to $125,000 (Mid-Level) | Up to $150,000 (Senior-Level)
---
About the Role
An organization in South Bend, IN is seeking a Data Engineer to play a critical role in building and optimizing a centralized enterprise data platform. This position is ideal for a hands-on engineer who thrives in modern Azure environments and has strong experience designing scalable data pipelines using Databricks, Python, and Spark.
As the organization consolidates data into a single, unified platform, this role will focus on engineering robust ETL/ELT processes, modernizing legacy data workflows, and ensuring reliable, high-performance data delivery across the enterprise.
This is a highly visible role working closely with analytics, IT, and business stakeholders to support enterprise-wide reporting, operational intelligence, and long-term data strategy.
---
What We're Looking For
Must-Have Skills
* 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
Nice-to-Have
* 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
---
Key Responsibilities
Data Engineering & Platform Development
* 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
Data Architecture & Optimization
* Support the design of a unified enterprise data model
* Optimize data processing performance and reliability
* Ensure data quality, validation, and integrity across pipelines
Collaboration & Strategy
* 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
Click here to apply online (https://pcrecruiter2.cfstaffing.com/pcrbin/jobboard.aspx?JOBSHAREWUJ76DBH2PNUPEEYJ2WYXVRLGUGGPWLSJMJ4TX6CZIZGICLTGKIM4RDTRZHU4Y42GUC4ZZI)
Read Less