We are seeking a Cloud Data Engineer —  an execution-focused engineer with strong design instincts — to help build and evolve our modern Azure-based data platform. You will contribute directly to the design and implementation of data pipelines, transformations, and analytics-ready datasets, while helping reinforce sound engineering patterns and practices through your day-to-day work. You will be writing high-quality code and collaborating closely with teammates so that data solutions are reliable, scalable, and easy to extend. This is an ideal role for a strong data engineer who wants to grow technically while working within a modern Azure data ecosystem, enabling current and future teammates to “fall into the pit of success” when building data solutions on Azure.

Key Responsibilities:

• Build: Design, implement, and maintain reliable Azure-based data pipelines that support analytics, AI/ML, and enterprise integration use cases.
• Hands-on Engineering: Actively contribute code across the data platform — developing pipelines, writing transformations, optimizing SQL, and supporting production workloads.
• Component Ownership: Own specific areas of the data platform (pipelines, datasets, transformations, or integrations), ensuring quality, performance, and maintainability.
• Engineering Best Practices: Apply established patterns, frameworks, and standards when building data solutions, helping reinforce consistency and quality across the platform.
• Collaboration: Work closely with data engineers, analysts, product owners, and stakeholders to translate business requirements into effective technical solutions.
• Platform Awareness: Stay informed on Azure data services and evolving platform capabilities, applying new tools or approaches when appropriate.
• Quality & Reliability: Contribute to CI/CD practices, testing, monitoring, and operational readiness for data pipelines and downstream consumers.

Core Technologies (experience with some or all of the following is expected):

• Microsoft Fabric 
• Azure Data Factory / Synapse Pipelines
• Databricks
• PySpark
• Microsoft Synapse Analytics
• SQL Server / Azure SQL
• Modern ELT / ETL practices

Required Qualifications:

• 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 related field.
• Located in or around Indianapolis, IN.

Preferred Qualifications:

• 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 models and iterative development practices.
• Exposure to streaming, near-real-time data, or observability/monitoring for data systems.
• Interest in continuous learning and technical growth within the data engineering discipline.

Come Collaborate with Us!

At CSpring, we believe that unlocking potential in others unlocks our own. You’ll join a collaborative, values-driven community where curiosity and connection thrive.  We come together regularly for team-building, service events, learning lunches, and more. We celebrate wins, support one another through challenges, and continually invest in each other’s growth.  If you're ready to join a positive, energetic, and purpose-driven team where your work truly matters — apply now and help us build what’s next.