CSpring

Cloud Data Engineer

CSpring

full-time

Posted on:

Location Type: Hybrid

Location: Indianapolis • United States

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Tech Stack

AzureCloudETLSQL

About the role

  • 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
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Applicant Tracking System Keywords

Tip: use these terms in your resume and cover letter to boost ATS matches.

Hard Skills & Tools
data pipelinesdata platformsSQLdata transformationdata orchestrationELTETLdata lakesdata martsdata warehouses
Soft Skills
clear communicationcollaborationcross-functional teamwork