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Remote Azure Data Factory Jobs in Indiana (NOW HIRING)

Senior Software Architect

Indianapolis, IN · Remote

$123.80K - $168.20K/yr

NET. * Minimum 5 years of experience with data modeling and business intelligence. * Strong ... Azure, Microsoft development, and other applicable certifications preferred. #LI-Remote We expect ...

Senior Software Architect

South Bend, IN · Remote

$126.90K - $172.50K/yr

NET. * Minimum 5 years of experience with data modeling and business intelligence. * Strong ... Azure, Microsoft development, and other applicable certifications preferred. #LI-Remote We expect ...

... remote client service delivery. Recruiting for this role ends on 06/30/2026 ... Work you'll do As a Databricks Engineer on the AI & Data team, you will be responsible for.

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Remote Azure Data Factory information

What are the key skills and qualifications needed to thrive as a Remote Azure Data Factory Engineer, and why are they important?

To thrive as a Remote Azure Data Factory Engineer, you need strong expertise in data integration, ETL processes, and cloud-based data solutions, typically supported by experience in Microsoft Azure and a relevant technical degree. Proficiency in Azure Data Factory, SQL, Power BI, and familiarity with other Azure services or certifications (such as Azure Data Engineer Associate) is highly beneficial. Excellent problem-solving, communication, and time management skills are crucial for effective remote collaboration and troubleshooting. These competencies ensure efficient data pipeline development, seamless data flow, and the ability to deliver robust analytics solutions in distributed environments.

What are some common challenges faced by remote Azure Data Factory professionals, and how can they be addressed?

Remote Azure Data Factory professionals often encounter challenges related to communication and collaboration, especially when integrating data from multiple sources across different teams. To address this, it's essential to establish clear documentation practices, utilize collaboration tools such as Microsoft Teams, and schedule regular check-ins with stakeholders. Additionally, proactively managing data pipeline failures and ensuring security compliance in a remote setting requires strict adherence to best practices and close coordination with IT and security teams. Building a strong support network and maintaining open lines of communication are key to overcoming these challenges and succeeding in the role.

What is a Remote Azure Data Factory professional?

A Remote Azure Data Factory professional is an IT specialist who designs, builds, and manages data integration solutions using Microsoft Azure Data Factory while working from a remote location. They create and manage data pipelines to move and transform data between various sources and destinations in the cloud. These professionals often collaborate with data engineers, analysts, and business stakeholders to ensure data is accessible, secure, and reliable for analytics and reporting needs.

What is the difference between Remote Azure Data Factory vs Remote Data Engineer?

AspectRemote Azure Data FactoryRemote Data Engineer
CredentialsAzure certifications, data integration skillsData engineering certifications, cloud platform knowledge
Work EnvironmentCloud-based, primarily using Azure platformCloud and on-premises environments, broader tech stack
Industry UsageData integration, ETL workflows in AzureData pipeline development, database management
Search & Comparison IntentFocus on specific tool (Azure Data Factory)Broader data engineering roles

Remote Azure Data Factory specialists focus on designing and managing data workflows within the Azure platform, often requiring specific certifications. Remote Data Engineers have a broader scope, building and maintaining data pipelines across various environments. While both roles involve data integration, Azure Data Factory roles are more tool-specific, whereas Data Engineers encompass a wider range of technologies and responsibilities.

What are popular job titles related to Remote Azure Data Factory jobs in Indiana? For Remote Azure Data Factory jobs in Indiana, the most frequently searched job titles are:
What cities in Indiana are hiring for Remote Azure Data Factory jobs? Cities in Indiana with the most Remote Azure Data Factory job openings:
Infographic showing various Remote Azure Data Factory job openings in Indiana as of May 2026, with employment types broken down into 47% Full Time, 6% Temporary, and 47% Contract. Highlights an 97% Physical, and 3% Hybrid job distribution.
Data Analyst / Business Intelligence (BI) Support Specialist - Temporary - Hybrid Remote

Data Analyst / Business Intelligence (BI) Support Specialist - Temporary - Hybrid Remote

Hoosier Energy

Bloomington, IN • On-site, Remote

Full-time

Posted 21 days ago


Job description

Position Overview 

The Data Analyst / Business Intelligence (BI) Support Specialist - Temporary is responsible for the design, development, implementation, and support of enterprise Business Intelligence (BI) solutions. This position ensures data integrity, security, and performance across BI platforms and provides application support to business units.

Essential Duties and Responsibilities 

  • Develop and maintain BI solutions utilizing Microsoft Fabric, Power BI, and Azure Data Services.
  • Design and implement data models, ETL/ELT pipelines, and visualization dashboards.
  • Build and optimize Power BI reports, dashboards, and paginated reports.
  • Manage Azure Synapse, Data Factory, Data Lake, and Fabric Data Warehouse for data processing and transformation.
  • Write and optimize T-SQL queries, stored procedures, and indexing in SQL Server (2019+).
  • Provide Level 2/3 support for custom SQL-driven applications, including troubleshooting and user support.
  • Maintain the Alation data catalog, ensuring metadata accuracy and compliance with governance standards.
  • Ensure data governance, security, and compliance, including role-based access control (RBAC) and row-level security (RLS).
  • Collaborate with business stakeholders, developers, and analysts to translate requirements into BI solutions.
  • Monitor BI system performance and implement improvements for reliability and availability.
  • Work with IT Applications and IT Infrastructure teams to implement CI/CD pipelines for BI deployments.
  • Mentor BI team members and promote best practices in analytics development.

Minimum Qualifications 

  • Bachelor’s degree in Computer Science, Information Systems, or related field, or equivalent experience.
  • Minimum of 3 years’ experience in Business Intelligence, Data Analytics, or Data Warehousing.
  • Experience with Microsoft Fabric, Power BI, and Azure Data Services (Data Factory, Synapse, Data Lake, Dataverse).
  • Advanced proficiency in SQL Server (T-SQL, query optimization, indexing).
  • Proficiency in DAX, Power Query (M language), and Power BI development.
  • Experience with data modeling techniques (Star Schema, Snowflake) and performance optimization.
  • Experience designing and implementing ETL/ELT pipelines for structured and unstructured data.
  • Familiarity with RBAC, RLS, and compliance best practices.
  • Strong analytical, problem-solving, and communication skills.

Preferred Qualifications 

  • Experience with Azure SQL, DevOps for BI deployments, or Python for data preparation.
  • Familiarity with ITIL and/or ITSM ticketing systems.
  • Ability to present insights to non-technical audiences.

Working Conditions

  • Office environment, Bloomington, IN.
  • Occasional travel may be required.
  • Standard work hours with flexibility for project deadlines.

This full time position is temporary; however, it is expected to potentially have a duration of indefinite. The incumbent will be employed through Express Employment.

Hoosier Energy is an Equal Opportunity Employer and prohibits discrimination on the basis of race, color, religion, national origin, sex (including pregnancy and gender identity), sexual orientation, age, ancestry, genetic information, disability, veteran status or any other characteristic protected by federal, state or local laws.