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Azure Data Factory Jobs in Indiana (NOW HIRING)

Sonsoft Inc

MS Azure

Columbus, IN · On-site

$59 - $77/hr

... Azure At least 4 years of experience in project execution Exposure to Design of Application architecture using IaaS, PaaS and/or hybrid model on Microsoft Azure Exposure to DevOps (CI & CD ...

Sonsoft Inc

Azure / AWS Architect

Columbus, IN · On-site

$59 - $77/hr

AWS & Azure Architecture Certification Preferred The job entails an extensive amount of travel. The job also entails sitting as well as working at a computer for extended periods of time. Should be ...

Sonsoft Inc

Azure / AWS Architect

Columbus, IN · On-site

$59 - $77/hr

AWS & Azure Architecture Certification Preferred The job entails an extensive amount of travel. The job also entails sitting as well as working at a computer for extended periods of time. Should be ...

Sonsoft Inc

MS Azure Architect

Columbus, IN · On-site

$59 - $77/hr

Exposure to legacy applications migrations to Azure Experience in defining new architectures and ability to drive an independent project from an architectural stand point Analytical skills At least 3 ...

Sonsoft Inc

MS Azure Consultant

Columbus, IN · On-site

$59 - $77/hr

Good knowledge about Azure Infrastructural elements such as Deployment models (Classic as well as Resource Group), Network Security Group (NSG) & load balancing configurations, Express Route circuits ...

Sonsoft Inc

MS Azure Architect

Columbus, IN · On-site

$59 - $77/hr

Exposure to legacy applications migrations to Azure Experience in defining new architectures and ability to drive an independent project from an architectural stand point Analytical skills At least 3 ...

IntraEdge

Azure Cloud IOT Engineering Lead

Indianapolis, IN

$53.25 - $71.25/hr

Oversee integration of Azure IoT Hub/IoT Edge , Event Hub or Kafka, schema registry, and edge data persistence (SQLite/Azure SQL Edge). * Ensure observability through Azure Monitor, Logging, Tracing ...

Sonsoft Inc

AWS Cloud/Azure, ReactJS

Columbus, IN

$51.25 - $63.50/hr

At least 2 years of experience in Azure / AWS Cloud and * At least 2 years of experience in Java/ J2EE frameworks specially Spring MVC, Spring JDBC, Rest Web Services, iBatis, jQuery, Bootstrap, CSS3 ...

Sonsoft Inc

AWS Cloud/Azure

Columbus, IN · On-site

$52.25 - $71.50/hr

At least 2 years of experience in Azure / AWS Cloud and * At least 2 years of experience in Java/ J2EE frameworks specially Spring MVC, Spring JDBC, Rest Web Services, iBatis, jQuery, Bootstrap, CSS3 ...

CYNET SYSTEMS

Cloud Engineer

Indianapolis, IN · On-site

$105/hr

Design and deploy cloud architectures on Microsoft Azure that meet performance, security ... Ensure cloud environments comply with security standards, regulatory requirements, and data ...

NiSource

Principal Cloud Engineer

Merrillville, IN · Hybrid

$133K - $200K/yr

... or Data Center Domain Type of Experience * Designing and solutioning the deployment of multi-cloud solutions across Azure, AWS, or Google Cloud * Solutioning of enterprise-wide cloud governance ...

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How much do azure data factory jobs pay per hour?

As of Jul 17, 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.
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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.
Data Automation & ETL Engineer

Data Automation & ETL Engineer

Elements Financial

Indianapolis, IN • On-site

$79K - $119K/yr

Full-time

Re-posted 6 days ago

Job description



This is an exciting opportunity to join our high-growth innovative team. but first, here is a little bit about Elements Financial:


WE MAKE MONDAYS MORE ENJOYABLE.


There are many ways to describe the Elements culture: fun, meaningful, supportive, and full of opportunities. See here for more information - https://www.elements.org/careers/our-culture/


Today we serve the employees of 150+ organizations around the U.S. We currently rank among the top 3% of credit unions nationally with 100,000+ members. We have the resources, staff, and expertise to support our members with unparalleled service and leading-edge technology.


Now let's get into this exciting role!

This is a hybrid role that requires some on-site work (inside our Indianapolis, Indiana office). In addition to the on-site duties, there are additional responsibilities that can be completed outside of the office, resulting in this being a hybrid role.

Elements Financial is a Best Place to Work because our employees are empowered to Be the Expert, Live the Purpose, and Grow the Business. Our Purpose is to Empower Members to Achieve Financial Success. This position designs, builds, and supports reliable ETL pipelines and automated data workflows that enable analytics, reporting, and operational data needs. This role ensures data is accurately ingested, transformed, validated, and delivered across platforms in a consistent and scalable way.

You will learn how to be the expert to best serve our members:

  • Design, build, and maintain ETL processes that move data from source systems into analytical and reporting platforms.
  • Support and enhance existing Power Automate processes.
  • Develop and support SQL-based transformations, validations, and data preparation logic.
  • Automate data workflows, including scheduling, dependencies, monitoring, and notifications, to reduce manual effort and operational risk.
  • Support file-based, database-based, and API-driven data integrations.
  • Maintain and enhance automated data pipelines to ensure high availability, accuracy, and data integrity.
  • Act as a trusted technical resource for data movement, automation, and operational data workflows.


You will make a difference as you live out our purpose:

  • Evaluate, implement, and support data integration and automation tools with a focus on reliability, scalability, and data quality.
  • Partner with Data Engineering, BI, and business stakeholders to understand data requirements and translate them into reliable ETL workflows.
  • Support large data requests and operational data processes requiring detailed data collection, transformation, and validation.
  • Assist with troubleshooting data pipeline failures and participate in root-cause analysis and resolution.
  • Coordinate with IT and platform teams to support upgrades, enhancements, and best practices for tools and systems in use.
  • Perform other duties as assigned.


You will help grow the business:

  • Research and provide data from enterprise systems to support organizational initiatives and operational needs.
  • Improve the efficiency and reliability of data delivery through automation and standardized processes.
  • Influence cross-functional partners to improve data quality, data integration, and operational consistency.
  • Identify opportunities to reduce recurring data issues through better ETL design and automation.


You will continue to grow professionally:

  • Continue to develop knowledge of data integration, ETL practices, and automation technologies.
  • Participate in appropriate learning and networking opportunities to maintain and expand technical expertise.
  • Research and learn new technologies and tools that can improve data reliability, automation, and operational efficiency within Data & Analytics.


Minimum Requirements:

  • Bachelor’s Degree in Information Systems, Informatics, Computer Science, Data Science, or a related field.
  • 5+ years of relevant experience in data-focused roles involving ETL, data integration, or data operations.
  • Strong proficiency in SQL, including writing and optimizing queries, joins, transformations, and validation logic, including the ability to read, interpret, and troubleshoot complex scripts.
  • Proficiency with automation or orchestration using Power Automate.
  • Familiarity with Microsoft Fabric suite of data tools (Power BI, SharePoint, Data Factory).
  • Familiarity with enterprise ETL tools such as Informatica; experience building or supporting ETL / ELT pipelines in a production environment.
  • Familiarity with supporting file-based integrations (SFTP, SharePoint, cloud storage); familiarity with working with APIs.
  • Exposure to modern data platforms (Azure SQL, Synapse, Fabric, or similar).
  • Excellent analytical problem-solving skillset committed to ethical use of data.
  • Strong written and verbal communication skills.
  • Self-directed – works well independently and with cross-functional teams.

Additional bonus compensation is earned in this role.