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.
