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Senior Cloud Data Engineer Jobs in Indiana (NOW HIRING)

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 ...

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 ...

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 ...

Sr Cloud Engineer

Merrillville, IN · On-site

$113K - $170K/yr

Senior Cloud Engineer Full Time Perm Way of Work: Hybrid, 3 days on location Salary Range: $113,500 ... The Cloud Engineers also oversee the design and support of cloudbased data solutions, including ...

Sr Cloud Engineer

Hammond, IN · On-site

$113K - $170K/yr

Senior Cloud Engineer Full Time Perm Way of Work: Hybrid, 3 days on location Salary Range: $113,500 ... The Cloud Engineers also oversee the design and support of cloudbased data solutions, including ...

Sr Cloud Engineer

Merrillville, IN · Hybrid

$113K - $170K/yr

Senior Cloud Engineer Full Time Perm Way of Work: Hybrid, 3 days on location Salary Range: $113,500 ... The Cloud Engineers also oversee the design and support of cloudbased data solutions, including ...

Sr Cloud Engineer

Hammond, IN · Hybrid

$113K - $170K/yr

Senior Cloud Engineer Full Time Perm Way of Work: Hybrid, 3 days on location Salary Range: $113,500 ... The Cloud Engineers also oversee the design and support of cloudbased data solutions, including ...

Senior Cloud Engineer

Crane, IN

$55.75 - $74.50/hr

Dive into exciting opportunities in Cybersecurity, IT, Data Analytics and more. Propel your career ... MANTECH seeks a motivated, career and customer-oriented Senior Cloud Engineer to join our team in ...

Senior Cloud Engineer

Crane, IN · On-site

$55.75 - $74.50/hr

Dive into exciting opportunities in Cybersecurity, IT, Data Analytics and more. Propel your career ... MANTECH seeks a motivated, career and customer-oriented Senior Cloud Engineer to join our team in ...

Senior Cloud Engineer

Indianapolis, IN · On-site

$53.25 - $71.25/hr

Position Overview Our client is seeking a Senior Cloud Engineer to support a healthcare-focused engagement. This role requires deep expertise across cloud environments with a strong emphasis on ...

Senior Cloud Engineer with Security Clearance

Crane, IN · On-site

$55.75 - $74.50/hr

MANTECH seeks a motivated, career and customer-oriented Senior Cloud Engineer to join our team in ... Designing data ingestion architectures utilizing log forwarders (e.g., Elastic or Fluentd) and ...

Microsoft Fabric Data Engineer

Indianapolis, IN · On-site

$109K - $131K/yr

Microsoft Fabric Data Engineer Location: Indianapolis, IN. Let's create our future together at The ... Build and support cloud-native data solutions across Azure Fabric and AWS, including containerized ...

The Senior Data Engineer develops and leads the MPH data engineering strategy, shaping modern ... This position requires an understanding of cloud architecture and data engineering in AWS and/or ...

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Senior Cloud Data Engineer information

What are some common challenges faced by Senior Cloud Data Engineers when migrating on-premises data systems to the cloud?

Senior Cloud Data Engineers often encounter challenges such as ensuring data integrity and security during migration, minimizing downtime, and handling compatibility issues between legacy systems and cloud platforms. They also need to optimize data pipelines for scalability and cost-effectiveness in the new environment. Close collaboration with stakeholders from IT, security, and business units is crucial to align migration goals and manage expectations throughout the process.

What are Senior Cloud Data Engineers?

Senior Cloud Data Engineers are experienced professionals who design, build, and maintain data processing systems on cloud platforms. They are responsible for creating scalable, secure, and efficient data pipelines and ensuring data is accessible for analysis and reporting. These engineers often work with tools and services from cloud providers like AWS, Azure, or Google Cloud, and collaborate closely with data scientists, architects, and other stakeholders. Their expertise in both cloud infrastructure and data engineering allows organizations to leverage large volumes of data for business insights.

What are the key skills and qualifications needed to thrive as a Senior Cloud Data Engineer, and why are they important?

To thrive as a Senior Cloud Data Engineer, you need advanced expertise in data engineering, cloud platforms (such as AWS, Azure, or Google Cloud), programming languages (like Python or Scala), and a strong foundation in database technologies. Proficiency with cloud-based tools (e.g., AWS Glue, Azure Data Factory), big data frameworks (such as Spark or Hadoop), and relevant certifications (like AWS Certified Data Analytics) is highly valued. Strong problem-solving skills, effective communication, and the ability to collaborate across teams help you excel in designing and optimizing complex data solutions. These skills ensure scalable, secure, and efficient data pipelines that support business analytics and innovation.

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

AspectSenior Cloud Data EngineerCloud Data Engineer
Required CredentialsTypically requires 5+ years experience, advanced certifications (e.g., AWS Certified Data Analytics), and expertise in cloud platformsEntry to mid-level experience, foundational certifications, and basic cloud platform knowledge
Work EnvironmentDesigns and oversees complex data pipelines, mentors junior staff, and handles high-level architectureBuilds and maintains data pipelines, performs data integration, and supports data operations
Employer & Industry UsageUsed in large enterprises, tech companies, and data-driven organizationsCommon in startups, mid-sized companies, and organizations adopting cloud data solutions

The main difference between a Senior Cloud Data Engineer and a Cloud Data Engineer lies in experience, responsibilities, and expertise. Senior roles involve leadership, complex architecture, and mentorship, while Cloud Data Engineers focus on building and maintaining data pipelines. Both roles are essential in cloud data environments, but senior positions require more advanced skills and strategic oversight.

What are popular job titles related to Senior Cloud Data Engineer jobs in Indiana? For Senior Cloud Data Engineer jobs in Indiana, the most frequently searched job titles are:
What job categories do people searching Senior Cloud Data Engineer jobs in Indiana look for? The top searched job categories for Senior Cloud Data Engineer jobs in Indiana are:
What cities in Indiana are hiring for Senior Cloud Data Engineer jobs? Cities in Indiana with the most Senior Cloud Data Engineer job openings:
Infographic showing various Senior Cloud Data Engineer job openings in Indiana as of July 2026, with employment types broken down into 92% Full Time, 3% Part Time, and 5% Contract. Highlights an 79% Physical, 6% Hybrid, and 15% Remote job distribution.

Cloud Data Engineer

CSpring

Indianapolis, IN

$109K - $131K/yr

Other

Re-posted 13 hours 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!