Cloud Data Engineer (Central Indiana Residents Only)

CSpring • Indianapolis, IN

10d

About The Position

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.

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

Nice To Haves

• 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.

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.

What This Job Offers

• Job Type: Full-time
• Career Level: Mid Level
• Number of Employees: 51-100 employees