Cloud Data Engineer at CSpring

Indianapolis, Indiana, United States -

Full Time

Start Date

Immediate

Expiry Date

28 Sep, 26

Salary

0.0

Posted On

30 Jun, 26

Experience

5 year(s) or above

Remote Job

Yes

Telecommute

Yes

Sponsor Visa

Skills

Azure, Data Engineering, SQL, ETL/ELT, Data Pipelines, Python, Databricks, Azure Synapse, Microsoft Fabric, CI/CD, Data Warehousing, Data Lakes, AI/ML Integration, Agile, Data Modeling, Cloud Architecture

Industry

Information Technology & Services

Description

Description At CSpring, we partner with public and private sector organizations to turn complex data into decisions that improve real lives across Indiana and beyond. 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. Why You'll Love Working Here You'll do work that matters. The pipelines and datasets you build directly support programs that serve real people, not abstract business metrics. You'll grow technically. We invest in Fabric, Databricks, Synapse, and the patterns that keep teams moving fast without breaking things. You'll join a team that's warm and grounded. People here help each other, share what they know, and take pride in leaving the codebase better than they found it. You'll have real ownership. You won't be a cog filing tickets — you'll own meaningful parts of the platform and see your decisions shape how it evolves. You'll be set up to succeed. We believe in sound patterns and good defaults so that doing the right thing is also the easy thing. 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!

Responsibilities

Design, implement, and maintain reliable Azure-based data pipelines to support analytics, AI/ML, and enterprise integration. Own specific platform areas to ensure high quality, performance, and maintainability of data transformations and datasets.