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Senior Cloud Data Engineer Jobs in Indiana (NOW HIRING)

Prophecy Technologies

Cloud Data Engineer

Indianapolis, IN · On-site

$109K - $131K/yr

This role requires expertise in cloud data engineering, data warehousing, advanced SQL, and Python/PySpark transformations, with the ability to translate data into actionable business recommendations.

New

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 ...

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 ...

NiSource

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 ...

NiSource

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 ...

ManTech

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 ...

ManTech

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 ...

ManTech International

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 ...

Themesoft Inc

Data Engineer

Chandler, IN · On-site

$82.66 - $137.76/hr

* Implement and operationalize modern AI-enabled data capabilities on Google Cloud to ingest ... data engineering including hands-on experience working with Cloud data solutions: creating ...

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The AES Group

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 ...

Watkins Wellness

Sr. Data Engineer

Indianapolis, IN · On-site

$89 - $139/hr

Delta Faucet Company is seeking a Senior Data Engineer to lead the design, development, and scaling ... ingestion, cloud storage, and analytics environments · Develop and manage end-to-end data ...

New

Masco Corporation

Sr. Data Engineer

Indianapolis, IN · On-site

$109K - $131K/yr

Delta Faucet Company is seeking a Senior Data Engineer to lead the design, development, and scaling ... ingestion, cloud storage, and analytics environments • Develop and manage end-to-end data ...

AAA Auto Club Group

Data Engineer

Indianapolis, IN · On-site

$109K - $131K/yr

As a Data Engineer on our Finance & Analytics team, you will build and maintain the cloud data infrastructure that powers reporting and insights across the organization. Working closely with our ...

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Senior Cloud Data Engineer information

What is a senior cloud data engineer?

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 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 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:

Senior Cloud Data Engineer jobs near you
Infographic showing various Senior Cloud Data Engineer job openings in Indiana as of August 2026, with employment types broken down into 1% As Needed, 82% Full Time, 13% Part Time, and 4% Contract. Highlights an 85% Physical, 4% Hybrid, and 11% Remote job distribution.

Cloud Data Engineer

Prophecy Technologies

Indianapolis, IN • On-site

$109K - $131K/yr

Full-time

Posted 3 days ago

New

Job description

Role Overview:
Responsible for developing, deploying, and optimizing scalable data pipelines, data models, and analytics solutions to support enterprise-wide business insights and decision-making. This role requires expertise in cloud data engineering, data warehousing, advanced SQL, and Python/PySpark transformations, with the ability to translate data into actionable business recommendations. The ideal candidate brings deep technical experience, strong analytical skills, and cross-functional collaboration abilities, preferably within the pharmaceutical or healthcare domain.
Key Responsibilities:
  • Develop and maintain scalable ETL/ELT pipelines using Python, PySpark, and SQL for structured and unstructured data ingestion.
  • Build robust data infrastructure on cloud platforms such as Azure Fabric, Synapse, Databricks, and AWS.
  • Implement end-to-end automation for data ingestion, streaming, scheduling, and monitoring across Azure Functions, Data Factory, ADLS Gen2, and Power BI.
  • Optimize large-scale big data architectures for performance and scalability.
  • Design and maintain multidimensional models (Star/Snowflake Schema) including fact and dimension tables, views, and stored procedures.
  • Manage complex datasets ensuring alignment with functional and non-functional requirements.
  • Learn foundational SAP S4/HANA and BW4 data models to support financial analytics.
  • Utilize GitHub and Azure DevOps for CI/CD, version control, and automated deployments.
  • Manage artifact deployment across environments with risk assessments and impact analysis.
  • Implement process improvements and workflow automation.
  • Partner with business stakeholders to gather requirements and translate them into analytical solutions.
  • Develop analytics and reporting solutions supporting Global Finance transformation strategy.
  • Develop dashboards and BI tools using Power BI/Tableau, translating outcomes into actionable insights with KPIs.
  • Troubleshoot data-related issues and perform root cause analysis.

Required Skills:
  • 5-8 years of hands-on experience in data engineering and cloud data warehousing (Azure Synapse, Fabric, Databricks, Redshift, or Snowflake).
  • Expert SQL proficiency across relational databases and cloud data warehouses, plus strong Python and PySpark skills for data transformation and pipeline development.
  • Data modelling expertise including dimensional modelling (facts, dims), normalization/de-normalization, views, and stored procedures for automation.
  • End-to-end ownership of project delivery with proven ability to translate business problems into scalable analytical solutions.
  • Big data architecture experience building and optimizing large-scale pipelines across structured and unstructured datasets.
  • Visualization expertise with Power BI and/or Tableau to present complex findings clearly.
  • Strong documentation and communication skills to support operational standards and collaborate with cross-functional teams.
  • Experience with root cause analysis, continuous improvement, and Agile delivery methodologies.

Qualifications:
  • Bachelor's or Master's degree in Technology, Computer Science, Engineering, or related field.

Preferred Skills:
  • Experience with SQL and NoSQL databases (AWS Redshift, Postgres, Databricks etc.).
  • Pharmaceutical or healthcare dataset experience.
  • Cloud expertise in AWS/Azure; Microsoft Fabric experience is a strong advantage.
  • CI/CD experience using GitHub or Azure DevOps.
  • Proficiency in Python/PySpark, R, Scala, or additional scripting languages.
  • AI & Gen AI - Products & Tools.

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