Data Engineer

About the role

At CSpring, we partner with public and private sector organizations to turn complex data into decisions that improve real lives across Indiana and beyond. As a Cloud Data Engineer, you will build the modern Azure data platform that powers analytics, AI/ML, and enterprise integration for the missions our clients care about most. Your work makes it easier for everyone who comes after you to build reliable, scalable data solutions — so good engineering becomes the default, not the exception.

What You'll Do

• Contribute directly to the design and implementation of data pipelines, transformations, and analytics-ready datasets across our Azure platform.
• Design, implement, and maintain reliable Azure-based data pipelines that support analytics, AI/ML, and enterprise integration use cases.
• Actively contribute code across the data platform — developing pipelines, writing transformations, optimizing SQL, and supporting production workloads.
• Own specific areas of the platform — pipelines, datasets, transformations, or integrations — ensuring quality, performance, and maintainability.
• Apply established patterns, frameworks, and standards to reinforce consistency and quality across the platform.
• Work closely with data engineers, analysts, product owners, and stakeholders to translate business requirements into effective technical solutions.
• Stay informed on Azure data services and evolving platform capabilities, applying new tools or approaches when appropriate.
• Contribute to CI/CD practices, testing, monitoring, and operational readiness for pipelines and the consumers downstream of them.
• Help reinforce sound engineering patterns through your day-to-day work, so teammates "fall into the pit of success" when building on Azure.

Requirements

• 4+ years of hands-on experience engineering data pipelines and data platforms.
• Demonstrated experience building and maintaining cloud-based data solutions in Azure (or comparable cloud environments).
• Practical, hands-on exposure to data lakes, data marts, and data warehouses; data pipelines and orchestration; and modern ELT/ETL patterns.
• Strong coding ability using modern data engineering tools and frameworks.
• Solid SQL skills for data transformation, optimization, and downstream consumption.
• Clear communication skills and the ability to collaborate effectively within cross-functional teams.
• Bachelor's degree in Computer Science, Data Science, Information Systems, or a related field OR equivalent experience.
• Located in or around Indianapolis, IN.
• Bonus Experience:
• Azure certifications (e.g., Azure Data Engineer / DP-203) or equivalent cloud credentials.
• Experience with CI/CD pipelines for data platforms.
• Familiarity with Agile delivery and iterative development practices.
• Exposure to streaming, near-real-time data, or observability/monitoring for data systems.
• A genuine interest in continuous learning and technical growth within data engineering.