We are seeking a Cloud Data Engineer - an execution-focused engineer with strong design instincts - to help build and evolve modern Azure-based data platforms. 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.

CSpring jobs

Cloud Data Engineer