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Overnight Cloud Data Engineer Jobs (NOW HIRING)

CSpring

Cloud Data Engineer

Indianapolis, IN

$109K - $131K/yr

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 ...

CSpring

Cloud Data Engineer

Indianapolis, IN · On-site

$109K - $131K/yr

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 ...

Amway Inc.

Cloud Data Engineer

Ada, MI · On-site

$92K - $113K/yr

... Data Engineer to support the modernization of our enterprise data platform as we continue migrating from on‑premise systems to a cloud‑native architecture on Google Cloud Platform (GCP) . This is ...

Endeavor Health

Cloud Data Engineer - Snowflake

Skokie, IL · On-site

$41.64 - $64.54/hr

Cloud Data Engineer - Snowflake * Location: Skokie, IL / Arlington Heights, IL / Warrenville, IL (choice) * Full Time * Hours: Monday-Friday, 8:00am - 4:30pm * Hybrid Position Job Summary: The Cloud ...

Hewlett Packard Enterprise

Cloud Data Engineer

Aguadilla, PR · Hybrid

$102K - $122K/yr

Cloud Data Engineer This role has been designed as 'Hybrid' with an expectation that you will work on average 2 days per week from an HPE office. Who We Are: Hewlett Packard Enterprise is the global ...

Hewlett Packard Enterprise

Cloud Data Engineer

San Juan, PR · Hybrid

$112K - $134K/yr

Cloud Data Engineer This role has been designed as 'Hybrid' with an expectation that you will work on average 2 days per week from an HPE office. Who We Are: Hewlett Packard Enterprise is the global ...

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Overnight Cloud Data Engineer information

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$87

How much do overnight cloud data engineer jobs pay per hour?

As of Jul 14, 2026, the average hourly pay for overnight cloud data engineer in the United States is $62.89, according to ZipRecruiter salary data. Most workers in this role earn between $53.61 and $71.63 per hour, depending on experience, location, and employer.

What is the difference between Overnight Cloud Data Engineer vs Cloud Data Engineer?

AspectOvernight Cloud Data EngineerCloud Data Engineer
Work HoursTypically overnight shifts, flexible schedulingStandard business hours or flexible, but not specifically overnight
ResponsibilitiesManaging data pipelines during off-peak hours, ensuring data availability overnightDesigning and maintaining cloud data solutions during regular hours
CertificationsSame as Cloud Data Engineer (e.g., AWS, Azure, GCP certifications)Same as Overnight Cloud Data Engineer
Work EnvironmentData centers, cloud platforms, remote or on-siteCloud platforms, remote or on-site

The main difference is the shift timing: Overnight Cloud Data Engineers work primarily during overnight hours to manage data pipelines, while Cloud Data Engineers typically work during regular hours. Both roles require similar skills, certifications, and work environments, but the overnight schedule allows for maintenance and updates during low-traffic periods.

More about Overnight Cloud Data Engineer jobs
What cities are hiring for Overnight Cloud Data Engineer jobs? Cities with the most Overnight Cloud Data Engineer job openings:
What are the most commonly searched types of Cloud Data Engineer jobs? The most popular types of Cloud Data Engineer jobs are:
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Overnight Cloud Data Engineer jobs near you
Infographic showing various Overnight Cloud Data Engineer job openings in the United States as of July 2026, with employment types broken down into 93% Full Time, 3% Part Time, and 4% Contract. Highlights an 79% Physical, 5% Hybrid, and 16% Remote job distribution, with an average salary of $130,802 per year, or $62.9 per hour.
Cloud Data Engineer

Cloud Data Engineer

CSpring

Indianapolis, IN

$109K - $131K/yr

Other

Posted 13 days ago

Job 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!

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