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Azure Data Factory Jobs in Indiana (NOW HIRING)

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

Granger, 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

Osceola, 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 ...

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 ...

Steel Warehouse

Data Engineer

South Bend, IN · On-site

$112.20K - $134.80K/yr

Experience with orchestration tools (Airflow, Azure Data Factory, etc.) * Knowledge of real-time/streaming data processing * Familiarity with DevOps practices (CI/CD, version control) * Experience ...

STEEL WAREHOUSE CO LLC

Data Engineer

South Bend, IN

$112.20K - $134.80K/yr

Experience with orchestration tools (Airflow, Azure Data Factory, etc.) * Knowledge of real-time/streaming data processing * Familiarity with DevOps practices (CI/CD, version control) * Experience ...

Steel Warehouse

Data Engineer

South Bend, IN · On-site

$112.20K - $134.80K/yr

Experience with orchestration tools (Airflow, Azure Data Factory, etc.) * Knowledge of real-time/streaming data processing * Familiarity with DevOps practices (CI/CD, version control) * Experience ...

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 ...

Lasting Change, Inc

Lead Data Engineer

Fort Wayne, IN · On-site

$113K - $135.70K/yr

Strong experience with Azure data platforms, with a preference for Microsoft Fabric; experience with Azure Synapse Analytics and Azure Data Factory acceptable. * Deep understanding of data lakes ...

Barnes and Thornburg LLP

Data Engineer

Indianapolis, IN · On-site

$109.40K - $131.40K/yr

Experience with Microsoft Fabric or a combination of Azure Synapse Analytics, ADLS Gen 2, Synapse SQL Pools, Azure Data Factory (ADF) and/or other Azure data platforms. * Experience with the ...

Lasting Change Inc

Lead Data Engineer

Fort Wayne, IN · On-site

$101.10K - $133.20K/yr

Strong experience with Azure data platforms, with a preference for Microsoft Fabric; experience with Azure Synapse Analytics and Azure Data Factory acceptable. * Deep understanding of data lakes ...

Pwc

Data Engineer - Senior Associate

Indianapolis, IN

$77K - $202K/yr

... 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 ...

Deaconess

Enterprise Analytics BID

Evansville, IN · On-site

$47.82 - $71.74/hr

Architect and optimize Azure SQL Database, Data Factory, and hybrid cloud solutions for scalability and security * Oversee ETL pipelines using SSIS, Python, PowerShell, and API integrations to ensure ...

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How much do azure data factory jobs pay per hour?

As of May 31, 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.

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.

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.
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Azure Data Factory jobs near you
Infographic showing various Azure Data Factory job openings in Indiana as of May 2026, with employment types broken down into 50% Full Time, and 50% Contract. Highlights an 50% In-person, and 50% Remote job distribution, with an average salary of $115,592 per year, or $55.6 per hour.

Data Engineer

CFS

South Bend, IN • Hybrid

$150K/yr

Full-time

This job post has expired today. Applications are no longer accepted.

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
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