Cloud Data Engineer

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.

• You'll do work that matters. The pipelines and datasets you build directly support programs that serve real people, not abstract business metrics.
• You'll grow technically. We invest in Fabric, Databricks, Synapse, and the patterns that keep teams moving fast without breaking things.
• You'll join a team that's warm and grounded. People here help each other, share what they know, and take pride in leaving the codebase better than they found it.
• You'll have real ownership. You won't be a cog filing tickets — you'll own meaningful parts of the platform and see your decisions shape how it evolves.
• You'll be set up to succeed. We believe in sound patterns and good defaults so that doing the right thing is also the easy thing.

You will 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.