Databricks Data Engineer developing scalable data pipelines within the insurance domain. Building ETL workflows on Azure and Databricks for analytics and business decision - making.
About the role
- Cloud Data Engineer designing and implementing Azure-based data pipelines for CSpring. Collaborating with teams to ensure reliable, scalable, and maintainable data solutions.
Responsibilities
- 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 data platform (pipelines, datasets, transformations, or integrations), ensuring quality, performance, and maintainability.
- Apply established patterns, frameworks, and standards when building data solutions, helping reinforce consistency and quality across the platform.
- Work closely with data engineers, analysts, product owners, and stakeholders to translate business requirements into effective technical solutions.
- Stay informed on Azure data services and evolving platform capabilities, applying new tools or approaches when appropriate.
- Contribute to CI/CD practices, testing, monitoring, and operational readiness for data pipelines and downstream consumers.
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.
Benefits
- WFH Flexible
- Team-building events
- Learning lunches
- Support through challenges
Job title
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Not specified
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