Cloud Data Engineer

CSpring

$90K — $120K *
Enterprise Technology
Less than 5 years of experience
Job Overview by Ladders

Qualifications

  • 4+ years of hands-on experience engineering data pipelines and platforms
  • Experience building and maintaining Azure-based data solutions
  • Practical knowledge of data lakes, data marts, data warehouses, and modern ELT/ETL patterns
  • Strong coding skills using contemporary data engineering tools
  • Proficient in SQL for data transformation and optimization
  • Excellent communication and collaboration skills in cross-functional teams
  • Bachelor's degree in Computer Science or related field, or equivalent experience

Responsibilities

  • Design, implement, and maintain Azure-based data pipelines for analytics and enterprise integration
  • Develop data pipelines, write transformations, and optimize SQL for production workloads
  • Own specific areas of the data platform to ensure quality and performance
  • Apply engineering standards and best practices across the data platform
  • Collaborate with stakeholders to turn business needs into technical solutions
  • Stay current on Azure data services and leverage new tools as needed
  • Contribute to CI/CD practices and ensure operational readiness of pipelines

Benefits

  • Opportunities for continuous learning and technical growth in data engineering
  • Working on impactful projects that matter to clients
  • Potential exposure to cutting-edge Azure services
  • Possibility to own parts of a modern cloud platform
  • Collaborative work environment with cross-functional teams
Full Job Description
As a Cloud Data Engineer, you will build the modern Azure data platform that powers analytics, AI/ML, and enterprise integration for the missions our clients care about most. Your work makes it easier for everyone who comes after you to build reliable, scalable data solutions - so good engineering becomes the default, not the exception.

What You'll Do
You will contribute directly to the design and implementation of data pipelines, transformations, and analytics-ready datasets across our Azure platform.
  • 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 platform - pipelines, datasets, transformations, or integrations - ensuring quality, performance, and maintainability.
  • Apply established patterns, frameworks, and standards to 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 pipelines and the consumers downstream of them.
  • Help reinforce sound engineering patterns through your day-to-day work, so teammates "fall into the pit of success" when building 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 a related field OR equivalent experience.
  • Located in or around Indianapolis, IN.

Bonus Experience
  • 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 and iterative development practices.
  • Exposure to streaming, near-real-time data, or observability/monitoring for data systems.
  • A genuine interest in continuous learning and technical growth within data engineering.

If you want to write high-quality code, own real parts of a modern Azure platform, and do it in service of work that matters, we'd love to meet you. Apply today!

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