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Remote Azure Data Factory Jobs in Indiana (NOW HIRING)

TrueScripts

Data Engineer

Indianapolis, IN · On-site +1

$102K - $123K/yr

Experience with Azure Data Factory, Azure SQL, Storage Accounts, Azure Functions, Logic Apps, or similar Azure services. * Experience developing and consuming RESTful APIs and modern integration ...

Cummins Inc.

Data Modeler

Indianapolis, IN · Remote

$52.25 - $67.75/hr

... Analytics, Remote. In this role, you will make an impact in the following ways: * Design and ... Data Factory orchestration, KQLbased RealTime Analytics, semantic model creation, and integration ...

Cummins

Data Modeler

Indianapolis, IN · Remote

$52.25 - $67.75/hr

... Analytics, Remote. In this role, you will make an impact in the following ways: * Design and ... Data Factory orchestration, KQLbased RealTime Analytics, semantic model creation, and integration ...

Cummins Inc.

Data Modeler

Indianapolis, IN · Remote

$52.25 - $67.75/hr

... Analytics, Remote. In this role, you will make an impact in the following ways: * Design and ... Data Factory orchestration, KQLbased RealTime Analytics, semantic model creation, and integration ...

Cummins

Data Modeler

Indianapolis, IN · On-site +1

$123K - $150K/yr

... Analytics, Remote. In this role, you will make an impact in the following ways: * Design and ... Data Factory orchestration, KQL-based Real-Time Analytics, semantic model creation, and integration ...

A.C. Coy

Sr. Java Developer (Remote)

Indianapolis, IN · On-site +1

$54.75 - $69.75/hr

Design and deploy cloud-ready solutions on Microsoft Azure. * Participate in code reviews ... Hands-on experience with Spring Boot, Spring MVC, and Spring Data. * Experience developing ...

A.C. Coy

Sr. Java Developer (Remote)

Indianapolis, IN · Remote

$54.75 - $69.75/hr

Design and deploy cloud-ready solutions on Microsoft Azure. * Participate in code reviews ... Hands-on experience with Spring Boot, Spring MVC, and Spring Data. * Experience developing ...

A.C. Coy

Sr. Java Developer (Remote)

Indianapolis, IN · Remote

$54.75 - $69.75/hr

Design and deploy cloud-ready solutions on Microsoft Azure. * Participate in code reviews ... Hands-on experience with Spring Boot, Spring MVC, and Spring Data. * Experience developing ...

eimagine

Java Architect

Indianapolis, IN · Remote

$60.25 - $81.25/hr

... remote enabled environment to make that possible. Recognized as a Best Places to Work since 2015 ... Cloud platforms (AWS, Azure, Google Cloud) and containerization (Docker, Kubernetes) * Relational ...

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All JobsAzure Data Factory JobsRemote Azure Data Factory JobsRemote Azure Data Factory Jobs in Indiana

Remote Azure Data Factory information

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 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 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 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 job categories do people searching Remote Azure Data Factory jobs in Indiana look for?

The top searched job categories for Remote Azure Data Factory jobs in Indiana 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:

Remote Azure Data Factory jobs near you
Infographic showing various Remote Azure Data Factory job openings in Indiana as of September 2026, with employment types broken down into 100% Full Time. Highlights an 100% Remote job distribution.

Data Platform Engineer

Indianapolis, IN • Remote

Renaissance Life and Health Insurance Company of America
Insurance Services • 201 - 500 employees
Learn more about Renaissance Life and Health Insurance Company of Americaexternal

$95K - $105K/yr

Full-time

Re-posted 20 days ago

Key responsibilities

  • Design and implement the integration layer between the Microsoft Fabric platform and Azure services.

  • Build and maintain robust data pipelines using Microsoft Fabric, Azure Data Factory, and related tools.

  • Define data contracts, API standards, and integration patterns for partner development teams.

Job description

Job Title:

Data Platform Engineer

Number of Positions:

1

Location:

Indianapolis, IN

Location Specifics:

Fully Remote

Job Summary:

Renaissance Benefits is hiring an experienced Data Platform Engineer to join our growing team!

The Data Platform Engineer helps scale Renaissance's data platform and integrate it across the organization. This role designs and builds the integration layer connecting the Microsoft Fabric-based data platform with the broader Azure ecosystem and API infrastructure. The position partners closely with the Data Platform Lead, AI Manager, and engineering teams to translate strategic direction into durable, scalable architecture and enable teams to consume platform capabilities reliably and independently.

What will this role entail?

  • Design and implement the integration layer between the Microsoft Fabric platform and Azure services, including Azure API Management, Azure Data Factory, Event Hubs, and Azure Databricks.

  • Define data contracts, API standards, and integration patterns that enable partner development teams to self-serve against the platform.

  • Establish scalable platform architecture that can be extended as organizational needs evolve.

  • Partner with the AI Manager to ensure the data platform supports current and future AI and machine learning initiatives.

  • Build and maintain robust data pipelines using Microsoft Fabric, Azure Data Factory, and related data platform tooling.

  • Implement data quality, governance, and lineage practices across the platform.

  • Drive platform reliability and performance by proactively identifying and resolving bottlenecks.

  • Evaluate and recommend tools, technologies, and process improvements that advance the data platform roadmap.

  • Perform other related duties as assigned.

Minimum Requirements:

  • Bachelor's degree in computer science, information systems, data engineering, or a related field preferred.

  • Five or more years of experience in data engineering, platform engineering, or a related technical role.

  • Strong hands-on experience with Microsoft Azure, including Azure Data Factory, Azure API Management, Azure Synapse, or related services.

  • Experience designing integration architectures, data contracts, and platform patterns for use by external or partner development teams.

  • Experience with data modeling, pipeline orchestration, and scalable data infrastructure.

  • Strong communication skills with the ability to collaborate effectively across engineering, data, product, and business teams.

  • Ability to operate with autonomy, sound judgment, and a solution-oriented mindset.

  • Willingness to learn and adopt new tools, technologies, and process improvements, including automation or AI-enabled solutions.

  • Uses AI tools responsibly within company, security, and compliance guidelines.

Base Salary Range: $95,000-105,000

The company will provide equal employment and advancement opportunity within the context of its unique business environment without regard to race, color, religion, gender, gender identity, gender expression, age, national origin, familial status, citizenship, genetic information, disability, sex, sexual orientation, marital status, pregnancy, height, weight, military status, or any other status protected under federal, state, or local law or ordinance.

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