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Azure Data Engineer Jobs in Indiana (NOW HIRING)

Azure Data Engineer

Indianapolis, IN

$109K - $131K/yr

Requirements * 3+ years of hands-on data engineering experience, including 2+ years building on Azure. * Strong SQL - complex joins, window functions, stored procedures, and query performance tuning.

Azure Data Engineer

Indianapolis, IN · On-site

$109K - $131K/yr

Requirements * 3+ years of hands-on data engineering experience, including 2+ years building on Azure. * Strong SQL - complex joins, window functions, stored procedures, and query performance tuning.

Azure Data Engineer

Indianapolis, IN · On-site

$109K - $131K/yr

Requirements: * 3+ years of hands-on data engineering experience, including 2+ years building on Azure. * Strong SQL -- complex joins, window functions, stored procedures, and query performance ...

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 ...

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 ...

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 ...

ETL/Data Engineer

Indianapolis, IN · On-site

$107K - $129K/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

$107K - $129K/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 ...

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 ...

... 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 Solutions Architect, Azure Data Engineer Associate, Snowflake Core, Snowflake Databricks Data Engineer Associate] is a plus - Designing and implementing thorough data architecture strategies ...

Data Engineer I

Fort Wayne, IN · On-site

$113K - $135K/yr

Familiarity with cloud-based platforms like Databricks (AWS, Azure, GCP). Willingness to learn and develop skills in data engineering technologies.

Data Engineer I

Fort Wayne, IN

$113K - $135K/yr

Familiarity with cloud-based platforms like Databricks (AWS, Azure, GCP). Willingness to learn and develop skills in data engineering technologies.

Data Engineer I

Fort Wayne, IN

$113K - $135K/yr

Familiarity with cloud-based platforms like Databricks (AWS, Azure, GCP). Willingness to learn and develop skills in data engineering technologies.

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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 Aug 3, 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 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 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 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 job categories do people searching Azure Data Engineer jobs in Indiana look for? The top searched job categories for 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 July 2026, with employment types broken down into 89% Full Time, 5% Part Time, and 6% Contract. Highlights an 81% Physical, 6% Hybrid, and 13% Remote job distribution, with an average salary of $123,433 per year, or $59.3 per hour.

Azure Data Engineer

CSpring

Indianapolis, IN

$109K - $131K/yr

Other

Posted 10 days ago


Job description

Description

At CSpring, we believe in the power of data to drive decisions and real-world impact. We're a purpose-driven consulting firm specializing in data strategy, data engineering, and data analytics. Our clients span the public and private sectors, and our work helps them solve complex problems, gain insights, and achieve measurable results.  


We're seeking talented professionals who are collaborative, curious, and committed to making a difference that thrive at the intersection of data, technology, and business strategy. Whether you're passionate about transforming public programs, enabling executive decision-making, or modernizing legacy systems, you'll find meaningful work and purpose here.


Why You'll Love Working Here

  • Purposeful Projects - Improve systems that serve real people by delivering smarter data, streamlined processes, and strategic insight.
  • People-First Culture - We're as committed to your growth as we are to delivering high-impact solutions. You'll find support, autonomy, and community here.
  • Strategic, Hands-On Work - From data architecture and documentation to client workshops and solution delivery, you'll influence every step of the process.
  • Collaborative Trust - Our clients rely on us to listen carefully, deliver consistently, and guide wisely. We partner with integrity, curiosity, and heart.

What You'll Do

You'll design, build, and support cloud data solutions on the Microsoft Azure stack for client engagements across government and healthcare.

  • Build and orchestrate data pipelines in Azure Data Factory, moving data from source systems into curated, analytics-ready layers.
  • Develop transformation logic in SQL, Python, or PySpark, and tune it so it holds up as data volumes grow.
  • Design and maintain data models - dimensional, relational, or lakehouse - that make sense to the analysts and reporting teams who depend on them.
  • Work in Azure Synapse, Databricks, Azure SQL, and Azure Data Lake Storage Gen2 to build storage and compute patterns that fit the client's scale and budget.
  • Implement data quality checks, validation rules, and reconciliation so problems surface before a stakeholder finds them.
  • Build monitoring, alerting, and error handling into pipelines from the start, and respond when something breaks in production.
  • Manage code and deployments through Git and Azure DevOps, including CI/CD pipelines across development, test, and production environments.
  • Partner with client analysts, program staff, and technical leads to translate business questions into data requirements you can build against.
  • Document architecture, data lineage, and operational runbooks so the work is supportable after you hand it off.
  • Follow client security, privacy, and compliance requirements in how you access, move, and store sensitive data.


Requirements

  • 3+ years of hands-on data engineering experience, including 2+ years building on Azure.
  • Strong SQL - complex joins, window functions, stored procedures, and query performance tuning.
  • Practical experience with Azure Data Factory, including pipeline design, triggers, parameterization, and error handling.
  • Working experience with at least one of Azure Synapse Analytics, Databricks, or Azure SQL.
  • Python or PySpark for data transformation and automation.
  • Experience with data modeling and warehouse design concepts, including dimensional modeling.
  • Familiarity with Azure Data Lake Storage Gen2 and how to organize raw, curated, and consumption layers.
  • Version control and deployment discipline using Git and Azure DevOps.
  • Clear communication with non-technical stakeholders - you can explain what you built and why it matters.
  • Bachelor's degree or equivalent hands-on experience.
Preferred Qualifications
  • Prior consulting or client-facing delivery experience.
  • Power BI or supporting downstream reporting and analytics teams.
  • Microsoft Azure certification (DP-203 or equivalent).
  • Experience with data governance tooling such as Microsoft Purview.

Come Build With Us

At CSpring, we unlock the potential of people and data. If you're ready to lead meaningful projects, collaborate with passionate teams, and grow your career in a people-first consulting environment-apply today!