1

Azure Data Engineer Jobs in Indiana (NOW HIRING)

Data Engineer

South Bend, IN · Hybrid

$150K/yr

This position is ideal for a hands-on engineer who thrives in modern Azure environments and has strong experience designing scalable data pipelines using Databricks, Python, and Spark. As the ...

Data Engineer

Mishawaka, IN · Hybrid

$150K/yr

This position is ideal for a hands-on engineer who thrives in modern Azure environments and has strong experience designing scalable data pipelines using Databricks, Python, and Spark. As the ...

Data Engineer

South Bend, IN · Hybrid

$150K/yr

This position is ideal for a hands-on engineer who thrives in modern Azure environments and has strong experience designing scalable data pipelines using Databricks, Python, and Spark. As the ...

Data Engineer

South Bend, IN · Hybrid

$150K/yr

This position is ideal for a hands-on engineer who thrives in modern Azure environments and has strong experience designing scalable data pipelines using Databricks, Python, and Spark. As the ...

Data Engineer

South Bend, IN · Hybrid

$150K/yr

This position is ideal for a hands-on engineer who thrives in modern Azure environments and has strong experience designing scalable data pipelines using Databricks, Python, and Spark. As the ...

Data Engineer

South Bend, IN · Hybrid

$150K/yr

This position is ideal for a hands-on engineer who thrives in modern Azure environments and has strong experience designing scalable data pipelines using Databricks, Python, and Spark. As the ...

Data Engineer

Granger, IN · Hybrid

$150K/yr

This position is ideal for a hands-on engineer who thrives in modern Azure environments and has strong experience designing scalable data pipelines using Databricks, Python, and Spark. As the ...

Data Engineer

South Bend, IN · Hybrid

$150K/yr

This position is ideal for a hands-on engineer who thrives in modern Azure environments and has strong experience designing scalable data pipelines using Databricks, Python, and Spark. As the ...

Data Engineer

Osceola, IN · Hybrid

$150K/yr

This position is ideal for a hands-on engineer who thrives in modern Azure environments and has strong experience designing scalable data pipelines using Databricks, Python, and Spark. As the ...

Data Engineer

Mishawaka, IN · Hybrid

$150K/yr

This position is ideal for a hands-on engineer who thrives in modern Azure environments and has strong experience designing scalable data pipelines using Databricks, Python, and Spark. As the ...

Data Engineer

South Bend, IN · Hybrid

$150K/yr

This position is ideal for a hands-on engineer who thrives in modern Azure environments and has strong experience designing scalable data pipelines using Databricks, Python, and Spark. As the ...

Data Engineer

South Bend, IN · Hybrid

$150K/yr

This position is ideal for a hands-on engineer who thrives in modern Azure environments and has strong experience designing scalable data pipelines using Databricks, Python, and Spark. As the ...

ETL/Data Engineer

Indianapolis, IN · On-site

$107.80K - $129.40K/yr

Vergence is seeking a Senior Azure Data Engineer to help design, build, and operate our next-generation enterprise data platform on Microsoft Azure. You will own end-to-end delivery of data pipelines ...

ETL/Data Engineer

Indianapolis, IN · On-site

$107.80K - $129.40K/yr

Vergence is seeking a Senior Azure Data Engineer to help design, build, and operate our next-generation enterprise data platform on Microsoft Azure. You will own end-to-end delivery of data pipelines ...

... Azure Data Engineer Associate, or Snowflake Core, Snowflake Databricks Data Engineer Associate] is a plus - Designing and implementing thorough data architecture strategies that meet the current and ...

Azure Data Architect

Indianapolis, IN · On-site

$61 - $78.50/hr

... data engineering and AI-driven solutions. This role requires deep expertise in Azure cloud ... architecture, Databricks, modern data ingestion frameworks, Building Canonical Data Models, and ...

Data Engineer

Indianapolis, IN · On-site

$109.40K - $131.40K/yr

Data Engineer The Data Engineer will focus on backend data engineering tasks, developing and ... Experience with Microsoft Fabric or a combination of Azure Synapse Analytics, ADLS Gen 2, Synapse ...

Data Engineer

Greenfield, IN · On-site

$110.20K - $132.30K/yr

Data Engineer Location: Greenfield, IN (Onsite) Duration: Long term contract Key technical skills ... Skilled in governing and managing data access for Azure Data lakehouse with Unity Catalog.

Lead Data Engineer

Fort Wayne, IN · On-site

$113K - $135.70K/yr

The Lead Data Engineer partners closely with analysts, leadership, and other stakeholders to ... Integrate data from multiple internal and external systems using Azure-native services. Analytics ...

next page

Showing results 1-20

Azure Data Engineer information

See Indiana salary details

$42.3K

$123.4K

$168.9K

How much do azure data engineer jobs pay per year?

As of May 28, 2026, the average yearly pay for azure data engineer in Indiana is $123,433.00, according to ZipRecruiter salary data. Most workers in this role earn between $109,000.00 and $130,800.00 per year, depending on experience, location, and employer.

What are the key skills and qualifications needed to thrive as an Azure Data Engineer, and why are they important?

To thrive as an Azure Data Engineer, you need proficiency in data modeling, SQL, ETL processes, and a solid understanding of cloud computing concepts, typically supported by a degree in computer science or a related field. Familiarity with Microsoft Azure services (such as Azure Data Factory, Azure Synapse Analytics, and Azure Databricks), and relevant certifications like Microsoft Certified: Azure Data Engineer Associate, are highly valuable. Strong problem-solving skills, effective communication, and adaptability help you collaborate across teams and respond to evolving project needs. These skills are crucial for designing robust data solutions that support business intelligence and decision-making in cloud environments.

What are some common challenges Azure Data Engineers face when integrating data from multiple sources?

Azure Data Engineers often encounter challenges when consolidating data from diverse sources such as on-premises databases, cloud storage, and third-party applications. Issues like data format inconsistencies, varying data quality, and synchronization timing can complicate the integration process. Leveraging Azure services like Data Factory and Synapse Analytics helps automate and streamline these tasks, but careful planning and robust data validation are essential. Collaboration with business analysts and data architects is also crucial to ensure the integrated data meets organizational requirements.

What are Azure Data Engineers?

Azure Data Engineers are IT professionals who design, implement, and manage data solutions using Microsoft Azure cloud services. They are responsible for building data pipelines, integrating diverse data sources, and ensuring data is stored securely and efficiently. These engineers work with tools like Azure Data Factory, Azure Databricks, and Azure Synapse Analytics to process, transform, and analyze large volumes of data. Their main goal is to provide reliable data infrastructure to support business intelligence and analytics needs.

What is the difference between Azure Data Engineer vs Data Analyst?

AspectAzure Data EngineerData Analyst
Required CredentialsAzure certifications, SQL, Python, cloud skillsData analysis certifications, SQL, Excel, BI tools
Work EnvironmentCloud platforms, data pipelines, big data toolsData visualization, reporting, business insights
Industry UsageTech, finance, healthcare, retailMarketing, finance, healthcare, retail

Azure Data Engineers focus on building and maintaining data pipelines in cloud environments, utilizing tools like Azure Data Factory and SQL. Data Analysts interpret data to generate reports and insights, often using Excel and BI tools. While both roles work with data, Azure Data Engineers handle data infrastructure, whereas Data Analysts focus on data interpretation and visualization.

What are the most commonly searched types of Azure Data Engineer jobs in Indiana? The most popular types of Azure Data Engineer jobs in Indiana are:
What cities in Indiana are hiring for Azure Data Engineer jobs? Cities in Indiana with the most Azure Data Engineer job openings:
Infographic showing various Azure Data Engineer job openings in Indiana as of May 2026, with employment types broken down into 86% Full Time, and 14% Contract. Highlights an 79% Physical, 11% Hybrid, and 10% Remote job distribution, with an average salary of $123,433 per year, or $59.3 per hour.

Data Engineer

CFS

South Bend, IN • Hybrid

$150K/yr

Full-time

Posted 16 days ago


Job description

Data Engineer
Location: South Bend, IN (Hybrid)
Salary: Up to $125,000 (Mid-Level) | Up to $150,000 (Senior-Level)


About the Role

An organization in South Bend, IN is seeking a Data Engineer to play a critical role in building and optimizing a centralized enterprise data platform. This position is ideal for a hands-on engineer who thrives in modern Azure environments and has strong experience designing scalable data pipelines using Databricks, Python, and Spark.

As the organization consolidates data into a single, unified platform, this role will focus on engineering robust ETL/ELT processes, modernizing legacy data workflows, and ensuring reliable, high-performance data delivery across the enterprise.

This is a highly visible role working closely with analytics, IT, and business stakeholders to support enterprise-wide reporting, operational intelligence, and long-term data strategy.


What We’re Looking For Must-Have Skills
  • Strong experience with Azure data services (Azure Data Factory, Azure SQL, Synapse, etc.)

  • Hands-on experience with Databricks

  • Strong proficiency in Python and Spark

  • Experience developing and optimizing ETL/ELT pipelines

  • Background working with legacy Microsoft tools such as SSIS and SSRS

  • Deep understanding of data modeling, transformation logic, and pipeline architecture

  • Experience consolidating data into centralized or cloud-based platforms

  • Strong SQL skills

  • Ability to troubleshoot performance issues and optimize large-scale datasets

  • Strong communication skills and ability to collaborate cross-functionally

Nice-to-Have
  • Experience supporting enterprise BI/reporting environments

  • Exposure to ERP, operational, or transactional data systems

  • Experience in manufacturing, agriculture, supply chain, or similar industries

  • Familiarity with data governance and best practices


Key Responsibilities Data Engineering & Platform Development
  • Design, build, and maintain scalable data pipelines using Databricks, Azure, Python, and Spark

  • Migrate and modernize legacy SSIS/SSRS workflows into the centralized data platform

  • Develop robust ETL/ELT processes to integrate data from multiple enterprise systems

Data Architecture & Optimization
  • Support the design of a unified enterprise data model

  • Optimize data processing performance and reliability

  • Ensure data quality, validation, and integrity across pipelines

Collaboration & Strategy
  • Partner with BI, analytics, and business teams to support enterprise reporting needs

  • Contribute to data standards, governance, and architectural best practices

  • Support the organization’s transition to a modern, centralized data ecosystem


Click here to apply online