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Azure Data Factory Jobs in Indiana (NOW HIRING)

Vergence

ETL/Data Engineer

Indianapolis, IN · On-site

$107K - $129K/yr

This role is ideal for an engineer with strong hands-on depth in Azure Data Factory, Azure Synapse Analytics and/or Databricks, and modern Lakehouse patterns, who is comfortable leading migration ...

Vergence

ETL/Data Engineer

Indianapolis, IN

$107K - $129K/yr

This role is ideal for an engineer with strong hands-on depth in Azure Data Factory, Azure Synapse Analytics and/or Databricks, and modern Lakehouse patterns, who is comfortable leading migration ...

Aligned Automation

Sr BI Developer Onsite

Lebanon, IN · On-site

$52.75 - $65.50/hr

Azure Data Factory, Azure Data Lake Storage Gen2, Azure DevOps, Git, CI/CD. * Azure Synapse Analytics, Unity Catalog, Microsoft Purview. * Experience in Agile/Scrum environments. * Microsoft Azure or ...

New

CFS

Data Engineer

South Bend, IN · Hybrid

$150K/yr

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 ...

CFS

Data Engineer

South Bend, IN · Hybrid

$150K/yr

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 ...

Pwc

Data Engineer - Manager

Indianapolis, IN · On-site

$99K - $232K/yr

... Azure Data Factory to enhance data engineering capabilities - Leading teams in the strategic planning and execution of data-driven projects - Overseeing the deployment of scalable data solutions ...

Pwc

Data Engineer - Manager

Indianapolis, IN

... Factory, Azure Functions, GCP Functions, GCP Dataproc, Dataflow and other relevant services - Designing and managing data warehouses and data lakes, verifying data is organized and accessible ...

Parkview Health

Data Engineer I

Fort Wayne, IN

$113K - $135K/yr

Exposure to data processing tools and frameworks - both on-premises and cloud based. (PySpark, ETL tools like SSIS, Azure data Factory etc.) Communication & Teamwork: Ability to collaborate ...

Parkview Health

Data Engineer I

Fort Wayne, IN

$113K - $135K/yr

Exposure to data processing tools and frameworks - both on-premises and cloud based. (PySpark, ETL tools like SSIS, Azure data Factory etc.) Communication & Teamwork: Ability to collaborate ...

Parkview Health

Data Engineer I

Fort Wayne, IN · On-site

$113K - $135K/yr

Exposure to data processing tools and frameworks - both on-premises and cloud based. (PySpark, ETL tools like SSIS, Azure data Factory etc.) Communication & Teamwork: Ability to collaborate ...

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How much do azure data factory jobs pay per hour?

As of Jul 16, 2026, the average hourly pay for azure data factory in Indiana is $55.57, according to ZipRecruiter salary data. Most workers in this role earn between $50.34 and $62.45 per hour, depending on experience, location, and employer.

What is an Azure Data Factory job?

An Azure Data Factory job refers to a data processing task executed within Azure Data Factory (ADF), a cloud-based data integration service. ADF enables the creation, scheduling, and orchestration of ETL (Extract, Transform, Load) and ELT (Extract, Load, Transform) workflows. These jobs help in moving and transforming data between various data stores, such as Azure Blob Storage, SQL databases, and on-premises systems. By using pipelines, activities, and triggers, ADF automates data workflows efficiently.

Is ADF better than SSIS?

Azure Data Factory (ADF) and SQL Server Integration Services (SSIS) are both data integration tools, but ADF is a cloud-based service optimized for large-scale, cloud-native data workflows, while SSIS is an on-premises tool suited for traditional ETL processes. For jobs involving cloud data movement, ADF offers better scalability and integration with Azure services, whereas SSIS is preferred for on-premises environments and complex transformations requiring local resources.

Is Azure Data Factory in demand?

Azure Data Factory is a highly in-demand data integration tool used by organizations to automate data workflows and manage data pipelines in cloud environments. Professionals with skills in Azure Data Factory, along with knowledge of cloud platforms and data engineering, are sought after as companies increasingly adopt cloud-based data solutions.

What are the key skills and qualifications needed to thrive in the Azure Data Factory position, and why are they important?

To thrive in an Azure Data Factory role, you need expertise in data integration, ETL processes, and cloud data solutions, typically supported by a background in computer science or information technology. Familiarity with Microsoft Azure Data Factory, Azure SQL Database, and certifications such as Microsoft Certified: Azure Data Engineer Associate are highly valued. Strong analytical thinking, effective communication, and problem-solving skills help professionals excel in cross-functional teams. These skills are essential for designing, deploying, and maintaining efficient data workflows that support business analytics and decision-making.

Is ADF difficult to learn?

Azure Data Factory (ADF) is a data integration service that requires understanding of data workflows, pipelines, and cloud-based tools. While it has a learning curve for beginners, familiarity with SQL, data transformation concepts, and cloud environments can help accelerate the learning process. Many users find that with hands-on practice and official documentation, mastering ADF is achievable.

What are some typical challenges faced by professionals working with Azure Data Factory, and how can they be addressed?

One of the main challenges in an Azure Data Factory role is managing complex data pipelines that span multiple data sources and destinations, which requires careful orchestration and monitoring. Troubleshooting data integration issues and ensuring data accuracy can also be demanding, especially when dealing with large volumes of data or evolving business requirements. Successful professionals often address these challenges by staying updated with Azure’s latest features, implementing robust error-handling, and collaborating closely with data architects and business analysts. Joining a supportive team environment and accessing ongoing training can further assist in overcoming common hurdles and advancing in your career.

What is the salary in Azure Data Factory?

The salary for an Azure Data Factory professional varies based on experience, location, and role level, but typically ranges from $80,000 to $130,000 annually. Skilled professionals with certifications in Azure and data integration tools tend to earn higher salaries in this field.
What are the most commonly searched types of Azure Data Factory jobs in Indiana? The most popular types of Azure Data Factory jobs in Indiana are:
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Azure Data Factory jobs near you
Infographic showing various Azure Data Factory job openings in Indiana as of July 2026, with employment types broken down into 100% Full Time. Highlights an 100% In-person job distribution, with an average salary of $115,592 per year, or $55.6 per hour.
Solution Architect - Data Analytics

Solution Architect - Data Analytics

Core BTS, Inc.

Indianapolis, IN • On-site

$60.75 - $79/hr

Other

Medical, Dental, Vision, Life, Retirement, PTO

Re-posted 15 days ago

Job description

NRI North America is looking for an Azure Data and Analytics Solution Architect to join our growing team. You will work alongside your peers to design, build, and deliver end-to-end data and analytics solutions for enterprise clients. You should have data engineering experience in Azure and be familiar with modern data platform technologies like Azure Analysis Services, Azure Data Lake, Azure Databricks, Azure Data Warehouse, and Azure Data Factory.
Essential Duties
  • Discuss best practices and strategies for modern data and analytics with clients
  • Integrate data sources to build models and reports for business users
  • Configure and operationalize cloud infrastructure in Azure
  • Speak intelligently to Microsoft's cloud data strategy and roadmap
  • Stay current Microsoft technologies and modern data platform best practices
Required Skills - Consulting
  • Ability to work independently and as a member of a team
  • Strong written and oral communication skills
  • Strong troubleshooting skills
  • Ability to adjust to new client cultures and projects
  • Adapt positively to change by embracing new practices, processes, or circumstances
  • Present a positive, professional, and self-confident image
  • Respond to clients in a timely and professional manner
  • Understand and strive to consistently meet or exceed client expectations
  • Collaborate with clients to identify and address their business needs
  • Communicate accurately, concisely, and effectively
  • Respectfully listen to others' ideas and concerns with an open mind
Required Skills - Leadership
  • Display a strong commitment to NRI's vision, mission, and values
  • Meet commitments to others and deliver on time
  • Hold self and others accountable for responsibilities
  • Accept responsibility for own decisions and actions without excuses
  • Self-starter
Required Skills - Technical
  • Data engineering experience in Azure and be familiar with modern data platform technologies like Azure Analysis Services, Azure Data Lake, Azure Databricks, Azure Data Warehouse, and Azure Data Factory.
  • 3+ years of experience in data engineering and modeling
  • Ability to design an end-to-end data analytics solution architecture and drive its implementation
  • Deep understanding of Agile engineering practices
  • Data Warehousing
  • Data ETL/ELT
  • Data Modeling (Dimensional/Kimball)
  • T-SQL
  • Azure Data Factory (or strong SSIS experience)
  • Azure Data Lake Store
  • SQL Server/Azure SQL
  • Azure Analysis Services or SQL Server Analysis Services (SSAS) - Tabular
  • Azure DevOps/Continuous Integration & Continuous Delivery
Preferred and Desirable Skill - Technical
  • Azure Synapse/Azure SQL Data Warehouse
  • Power BI/DAX
  • Databricks
  • Azure Functions
  • Azure Logic Apps
  • Azure AD
  • Data Vault
  • Database administration and performance tuning
  • SQL Server Integration Services (SSIS)
  • Python
  • Application development experience
  • Previous consulting experience
  • HDFS
  • Azure Stream Analytics/Azure Event Hub
  • Azure Data Lake Analytics/Apache Hive
  • Azure Cosmos DB
  • Apache Spark/HDInsight
  • PowerShell
  • .NET development
  • R/Scala
  • ASP.NET MVC/Web API
  • Snowflake/BigQuery/Redshift
In addition to base salary, this role is eligible for discretionary commission plan based on company and individual performance. Compensation decisions are dependent on the facts and circumstances of each candidate, including experience and location.
Benefits

You'll love working at NRI not just for the usual benefits, but for our environment and culture!

You'll work with a great group of people in a highly collaborative team and results oriented atmosphere.
You'll have the opportunity to work in a dynamic and extremely positive environment where there is always the opportunity to challenge your skills and really move the needle.
You'll work with large, sophisticated, and progressive clients throughout North America.

We provide a comprehensive benefits program including: Health, Vision, and Dental Insurance, Life Insurance, Health/Dependent Care Flexible Spending, 401(k) Plan, Short-Term and Long-Term Disability Coverage, Generous Vacation and Flex Time Off Programs, Company Paid Holidays, and Training and Development Opportunities.

Notices

The above description is intended to describe the general nature and level of work performed by individuals assigned to this position. This is not intended to be an exhaustive list of all responsibilities, duties, knowledge, skills, or experience required of individuals in this position. Reasonable accommodations may be made to enable individuals with disabilities to perform the essential duties and responsibilities.

NRI North America is proud to be an Equal Opportunity/Affirmative Action employer.

NRI North America will accept applications on an ongoing basis.
NRI North America will consider qualified candidates with criminal histories in a manner consistent with The Los Angeles Fair Chance Initiative for Hiring Ordinance.
If you require reasonable accommodation in completing an application, interviewing, or otherwise participating in the hiring process, please direct your inquiries to CareersBegin@nri-na.com.

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