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Remote Microsoft Data Engineer Jobs in Indiana (NOW HIRING)

TrueScripts

Data Engineer

Indianapolis, IN · On-site +1

$102K - $123K/yr

Position Summary The Data Engineer is responsible for designing, building, deploying, and ... Design, develop, deploy, and support cloud-native data solutions within Microsoft Azure. * Build ...

Transparent Hiring

$106K - $128K/yr

The role We're looking for a Data Engineer (m/f/d) to build and improve internal data solutions ... Remote-first across Germany and the US (offices available). * Relocation to Germany is supported by ...

Deckers

United States (Remote) Interested applicants must reside in one of the following approved states ... Collaborate with data engineering teams to translate architecture designs into scalable physical ...

Deckers

United States (Remote) Interested applicants must reside in one of the following approved states ... You'll collaborate with engineering, analytics, governance, and business teams to drive adoption ...

Olsson

Licensed Civil Engineer - Data Center

Carmel, IN · Remote

$88K - $116K/yr

As a Licensed Civil Engineer on the Data Center Civil team, you will be a part of the firm ... fully remote in various locations of the US. This role includes flexible work options to ...

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 · 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 ...

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Remote Microsoft Data Engineer information

What is a remote Microsoft data engineer?

A Remote Microsoft Data Engineer is a professional who designs, builds, and manages data solutions using Microsoft technologies, such as Azure Data Factory, SQL Server, and Power BI, while working from a remote location. Their responsibilities include developing data pipelines, implementing data models, and ensuring data quality and security. They collaborate with other IT professionals and business stakeholders to enable effective data-driven decision making within an organization. Working remotely, they use online tools and platforms to communicate and complete their tasks efficiently.

What are the key skills and qualifications needed to thrive as a remote Microsoft data engineer?

To thrive as a Remote Microsoft Data Engineer, you need expertise in data modeling, ETL processes, and strong proficiency with SQL, along with a degree in computer science or a related field. Familiarity with Microsoft data platforms such as Azure Data Factory, SQL Server, Power BI, and relevant certifications like Microsoft Certified: Azure Data Engineer Associate are highly valued. Excellent problem-solving, communication, and collaboration skills are crucial for remote teamwork and effective project execution. These skills ensure the development of robust data solutions, facilitate seamless collaboration, and support informed decision-making in distributed environments.

How does a remote Microsoft data engineer typically collaborate with cross-functional teams to deliver data solutions?

As a Remote Microsoft Data Engineer, you will frequently collaborate with data analysts, software engineers, and business stakeholders to design, implement, and optimize data pipelines and storage solutions using Microsoft Azure and related technologies. Communication often occurs through virtual meetings, project management tools, and code repositories, making clear documentation and proactive updates essential. You may participate in sprint planning, code reviews, and troubleshooting sessions to ensure that data solutions align with business goals and technical requirements. Building strong remote working relationships and maintaining transparency are key to successful collaboration in this role.

What is the difference between Remote Microsoft Data Engineer vs Remote Data Analyst?

AspectRemote Microsoft Data EngineerRemote Data Analyst
Required CredentialsMicrosoft certifications, SQL, cloud platform knowledgeData analysis certifications, SQL, Excel skills
Work EnvironmentCloud-based, technical teams, data engineering projectsBusiness teams, reporting, data visualization
Employer & Industry UsageTech companies, finance, healthcare using Microsoft toolsMarketing, retail, finance analyzing data trends

The Remote Microsoft Data Engineer focuses on building and maintaining data pipelines using Microsoft technologies, while the Remote Data Analyst interprets data to provide business insights. Both roles require SQL skills and often work in cloud environments, but their daily tasks and end goals differ significantly.

What are the most commonly searched types of Microsoft Data Engineer jobs in Indiana?

The most popular types of Microsoft Data Engineer jobs in Indiana are:

What are popular job titles related to Remote Microsoft Data Engineer jobs in Indiana?

For Remote Microsoft Data Engineer jobs in Indiana, the most frequently searched job titles are:

What job categories do people searching Remote Microsoft Data Engineer jobs in Indiana look for?

The top searched job categories for Remote Microsoft Data Engineer jobs in Indiana are:

What cities in Indiana are hiring for Remote Microsoft Data Engineer jobs?

Cities in Indiana with the most Remote Microsoft Data Engineer job openings:

Remote Microsoft Data Engineer jobs near you

Data Engineer

Indianapolis, IN • On-site, Remote

TrueScripts
11 - 50 employees
Learn more about TrueScriptsexternal

$102K - $123K/yr

Full-time

Posted 20 days ago

Job description

Company Overview
TrueScripts Management Services provides prescription benefit management expertise at a personal and customized level to ensure optimum value at the lowest possible cost for clients across the United States.
The Information Technology team supports this mission by delivering secure, scalable, cloud-native technology solutions that improve business operations, enable efficient data exchange, and support future growth in analytics and artificial intelligence.
Position Summary
The Data Engineer is responsible for designing, building, deploying, and supporting cloud-native data platforms, integrations, and data pipelines that enable secure and reliable data exchange between internal applications, external business partners, operational systems, and analytics platforms.
This role serves as a key technical resource supporting Application Engineers, business stakeholders, and external trading partners by ensuring data is accessible, trusted, secure, and available where and when it is needed. The Data Engineer works closely with software development teams to deliver scalable data services, integration frameworks, and operational data solutions within Microsoft Azure.
The ideal candidate combines strong technical expertise in data integration and cloud technologies with a practical understanding of business processes, application architecture, and healthcare data exchange.
Responsibilities
  • Design, develop, deploy, and support cloud-native data solutions within Microsoft Azure.
  • Build and maintain scalable data ingestion, transformation, and orchestration pipelines using Azure services and modern integration patterns.
  • Develop and support integrations between internal applications, third-party vendors, clients, healthcare partners, and other external data trading partners.
  • Design and implement APIs, file exchange processes, and system-to-system integrations that support business operations and application development.
  • Collaborate closely with Application Engineers to design data access patterns, integration architectures, and reusable data services.
  • Create and maintain operational data models that support application functionality and business processes.
  • Build and support Azure-based storage platforms, databases, and data services that enable application and analytics workloads.
  • Develop secure processes for exchanging data through APIs, flat files, SFTP, EDI transactions, healthcare interoperability standards, and other integration mechanisms as required.
  • Support real-time and near real-time data processing requirements where business needs warrant.
  • Design and implement monitoring, alerting, logging, and recovery processes for data pipelines and integrations.
  • Troubleshoot and resolve data quality, integration, performance, and reliability issues across development, test, and production environments.
  • Develop automation solutions that improve reliability, consistency, and operational efficiency.
  • Maintain documentation for integrations, data flows, APIs, pipelines, and supporting technologies.
  • Participate in architecture discussions and contribute recommendations related to scalability, reliability, performance, interoperability, and security.
  • Utilize source control, CI/CD pipelines, and DevOps practices to support reliable deployment and maintenance of data solutions.
  • Ensure compliance with company security standards and regulatory requirements related to healthcare and sensitive information.
  • Support AI, machine learning, and advanced analytics initiatives through the delivery of trusted and accessible data assets.
  • Stay current with Microsoft Azure services, modern data engineering practices, and emerging technologies.

Requirements
Qualifications
Required
  • Bachelor's degree in Computer Science, Information Technology, Data Engineering, Software Engineering, or a related field preferred, or equivalent professional experience.
  • Minimum of five years of professional experience in data engineering, data integration, application development, or a related technical discipline.
  • Strong experience with Microsoft SQL Server and advanced SQL development.
  • Experience building and supporting ETL/ELT processes and large-scale data integrations.
  • Experience designing and implementing cloud-based solutions within Microsoft Azure.
  • 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 technologies.
  • Strong understanding of relational database design, data integration patterns, and data lifecycle management.
  • Experience working with source control and DevOps platforms such as Azure DevOps and Git.
  • Ability to troubleshoot complex technical issues involving data movement, integrations, and system interoperability.
  • Strong analytical thinking, problem-solving skills, and attention to detail.
  • Strong written and verbal communication skills with both technical and non-technical stakeholders.
  • Ability to work independently and collaboratively in a team environment.

Preferred Qualifications
  • Experience with Microsoft Fabric, Azure Synapse Analytics, Databricks, or similar cloud data platforms.
  • Experience supporting healthcare, pharmacy benefit management, claims processing, or highly regulated industries.
  • Familiarity with HIPAA, PHI, PII, and healthcare data security requirements.
  • Experience working with healthcare interoperability standards such as FHIR, HL7, NCPDP, or EDI transactions.
  • Experience with Python, PowerShell, C#, or other scripting and automation technologies.
  • Experience with event-driven architectures, messaging platforms, and asynchronous integration patterns.
  • Familiarity with Azure Service Bus, Event Grid, Event Hubs, or related technologies.
  • Experience supporting machine learning, AI, or advanced analytics initiatives.
  • Experience with AI-assisted development tools such as GitHub Copilot, Claude Code, Devin, or Windsurf.
  • Experience operating within Agile or iterative software delivery environments.

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