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Azure Data Factory Jobs in Indiana (NOW HIRING)

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

... Azure Data Factory, Azure Functions, GCP Functions, GCP Dataproc, Dataflow - Enhancing Cloud resources for cost, performance, and scalability Travel Requirements Up to 60% Job Posting End Date The ...

SQL Database Administrator

Indianapolis, IN · On-site

$47.75 - $59.75/hr

Hands-on experience with Azure services such as Azure SQL Database, Azure Data Factory, and Azure Traffic Manager. * Knowledge of routing policies, including weighted and geographic-based routing ...

... and Azure Data Factory to enhance data engineering capabilities - Applying data architecture development and database management skills to optimize data solutions - Leveraging Apache Airflow and ...

Fabric Data Engineer

Fort Wayne, IN · On-site

$104K - $125K/yr

Microsoft Fabric, Azure (Synapse Analytics, Data Factory), or Databricks strongly preferred. * Solid understanding of data lakes, data warehouses, and lakehouse architectures. * Working knowledge of ...

Fabric Data Engineer

Fort Wayne, IN · On-site

$104K - $125K/yr

Microsoft Fabric, Azure (Synapse Analytics, Data Factory), or Databricks strongly preferred. * Solid understanding of data lakes, data warehouses, and lakehouse architectures. * Working knowledge of ...

Data Architect

Indianapolis, IN · Remote

$61 - $78.50/hr

... Data Factory orchestration, KQLbased RealTime Analytics, semantic model creation, and integration ... cloud environments (Azure preferred). * Data Governance & Metadata Management - Experience ...

Data Architect

Indianapolis, IN · Remote

$61 - $78.50/hr

... Data Factory orchestration, KQLbased RealTime Analytics, semantic model creation, and integration ... cloud environments (Azure preferred). * Data Governance & Metadata Management - Experience ...

Data Architect

Indianapolis, IN · Remote

$61 - $78.50/hr

... Data Factory orchestration, KQLbased RealTime Analytics, semantic model creation, and integration ... cloud environments (Azure preferred). * Data Governance & Metadata Management - Experience ...

Principal AI Engineer

Carmel, IN · On-site

$168K - $193K/yr

Azure Data Factory & Azure Machine Learning Studio * MLflow and model lifecycle management * OpenAI and/or Hugging Face ecosystems * SQL and database querying * Docker and containerized deployments

Sr. Data Engineer

Indianapolis, IN · On-site

$109K - $131K/yr

... Azure solutions such as functions, Synapse Data Warehousing, Data Factory, and Databricks * 5 years of experience developing batch and/or streaming ETL/ELT processes * 5 years of experience with data ...

... Azure Data Factory, or Databricks * Experience with SQL or JavaScript * 3+ years of experience leading or coaching integration consultants The wage range for this role takes into account the wide ...

Azure Architect

Indianapolis, IN · On-site

$60.75 - $79/hr

Role - Contract To H ire - At least 3 to 4 Years of Experience as Solution Architect with MS Azure Platform (PaaS Build) - Experience in MS Azure Analytics experience (Azure SQL Data Warehouse ...

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Azure Data Factory information

See Indiana salary details

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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:
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.

BI Developer

Buaut

Lebanon, IN • On-site

Other

Posted 2 days ago


Job description

 
Role: BI Developer
Location: Lebanon, Indiana (Onsite-5 days a week at client location)
Experience: 5-7 Years
Visa: Any (Which doesn''t require sponsorship)
Contract: 6+ months with possible extension
 
 
Job Summary
We are looking for an experienced Senior Azure Databricks & Microsoft Fabric Data Engineer to design, develop, and implement scalable cloud-based data platforms using Microsoft Azure technologies. The ideal candidate should have strong hands-on experience with Azure Databricks, Microsoft Fabric, and modern data engineering practices, along with the ability to deliver enterprise-scale data platform solutions from design through production deployment.
Key Responsibilities
  • Design, develop, and maintain scalable data pipelines using Azure Databricks.
  • Develop ETL/ELT workflows using PySpark, Spark SQL, Delta Lake, and Databricks Notebooks.
  • Build and optimize Lakehouse and Data Warehouse architectures.
  • Develop and manage Microsoft Fabric Lakehouses, Dataflows Gen2, Data Pipelines, and OneLake solutions.
  • Perform data ingestion, transformation, validation, and performance tuning.
  • Collaborate with business stakeholders, solution architects, BI developers, and cross-functional teams to translate business requirements into technical solutions.
  • Participate in solution design, code reviews, testing, deployment, and production support.
  • Follow best practices for data security, governance, documentation, and CI/CD.
Mandatory Skills
  • Strong hands-on experience with Azure Databricks.
  • Expertise in PySpark, Spark SQL, Delta Lake, and Databricks Notebooks.
  • Solid working knowledge of Microsoft Fabric, including Lakehouses, Dataflows Gen2, Data Pipelines, and OneLake.
  • Strong understanding of Data Warehouse and Lakehouse architecture.
  • Experience delivering large-scale enterprise data platform projects from design to production.
  • Strong SQL skills and data modelling experience.
  • Excellent communication and stakeholder management skills.
Good to Have
  • Power BI (Data Modelling, DAX, Power Query, Report Development).
  • 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 Microsoft Fabric certifications.
Required Experience
  • 8–15 years of overall IT experience with at least 4+ years in Azure Data Engineering.
  • Proven experience building enterprise-scale cloud data platforms.
  • Experience working with structured and semi-structured data.
  • Strong problem-solving and analytical skills with the ability to work independently.
Education
Bachelor''s or Master''s degree in Computer Science, Information Technology, Engineering, or a related discipline.
Preferred Domain Experience
Experience in Manufacturing, Pharmaceuticals, Healthcare, Life Sciences, or Supply Chain domains will be an advantage. Exposure to regulated environments (GxP/FDA) is desirable.
Keywords: Azure Databricks, PySpark, Delta Lake, Microsoft Fabric, Lakehouse, OneLake, Dataflows Gen2, Data Pipelines, SQL, Data Warehouse, Azure Data Engineering, Power BI, DAX, Azure DevOps, ETL, Cloud Data Platform.