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Junior Data Integration Analyst Jobs in Indiana (NOW HIRING)

TrueScripts

Data Engineer

Indianapolis, IN · On-site +1

$102K - $123K/yr

... analytics and artificial intelligence. Position Summary The Data Engineer is responsible for designing, building, deploying, and supporting cloud-native data platforms, integrations, and data ...

Lyntris

Senior Data Analyst

Bloomington, IN · On-site

$100 - $125/hr

Integrates multidisciplinary engineering methodologies to ensure that model development, data ... Provide technical leadership and mentorship to junior analysts, supporting skill development and ...

Accelint Holdings LLC

Senior Data Analyst

Bloomington, IN · On-site

$100 - $125/hr

Integrates multidisciplinary engineering methodologies to ensure that model development, data ... Provide technical leadership and mentorship to junior analysts, supporting skill development and ...

Accelint

Senior Data Analyst

Bloomington, IN · On-site

$99K - $124K/yr

Integrates multidisciplinary engineering methodologies to ensure that model development, data ... Provide technical leadership and mentorship to junior analysts, supporting skill development and ...

Novocure Inc

Data Architect

Indianapolis, IN · On-site

$61 - $78.50/hr

Develop enterprise data models, integration patterns, and architecture standards that support operational and analytical workloads * Lead architecture decisions related to data governance, quality ...

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All JobsData Integration Analyst JobsJunior Data Integration Analyst JobsJunior Data Integration Analyst Jobs in Indiana

Junior Data Integration Analyst information

See Indiana salary details

$32.8K

$75.5K

$121.3K

How much do junior data integration analyst jobs pay per year?

As of Sep 7, 2026, the average yearly pay for junior data integration analyst in Indiana is $75,508.00, according to ZipRecruiter salary data. Most workers in this role earn between $54,200.00 and $77,600.00 per year, depending on experience, location, and employer.

What does a junior data integration analyst do?

A Junior Data Integration Analyst assists in connecting and consolidating data from different sources so organizations can analyze and use it effectively. They help build and maintain data pipelines, monitor data quality, and troubleshoot integration issues. This role often involves working with databases, ETL (Extract, Transform, Load) tools, and collaborating with IT and business teams to ensure data flows smoothly between systems. Junior analysts also document processes and may support more senior analysts on complex integration projects.

What are the key skills and qualifications needed to thrive as a junior data integration analyst?

To thrive as a Junior Data Integration Analyst, you need a strong understanding of data management principles, basic SQL proficiency, and typically a bachelor’s degree in computer science, information systems, or a related field. Familiarity with ETL tools (such as Talend or Informatica), data visualization platforms, and database systems is often required. Attention to detail, problem-solving abilities, and effective communication skills help you collaborate with cross-functional teams and resolve data issues efficiently. These skills ensure accurate data integration, support business intelligence efforts, and drive successful data-driven decision-making within organizations.

What are some typical challenges a junior data integration analyst might face when working on projects with multiple data sources?

As a Junior Data Integration Analyst, one common challenge is managing inconsistencies across diverse data sources, such as differences in data formats, structures, or quality. You may also encounter issues related to data mapping and transformation, which require attention to detail and strong problem-solving skills. Additionally, collaborating with cross-functional teams—like database administrators, developers, and business stakeholders—can present communication challenges, especially when aligning on project requirements and timelines. Overcoming these challenges helps build a strong foundation for career growth in data integration and analytics.

What are popular job titles related to Junior Data Integration Analyst jobs in Indiana?

For Junior Data Integration Analyst jobs in Indiana, the most frequently searched job titles are:

What job categories do people searching Junior Data Integration Analyst jobs in Indiana look for?

The top searched job categories for Junior Data Integration Analyst jobs in Indiana are:

What cities in Indiana are hiring for Junior Data Integration Analyst jobs?

Cities in Indiana with the most Junior Data Integration Analyst job openings:

Junior Data Integration Analyst jobs near you
Infographic showing various Junior Data Integration Analyst job openings in Indiana as of August 2026, with employment types broken down into 1% As Needed, 86% Full Time, 11% Part Time, and 2% Contract. Highlights an 83% Physical, 5% Hybrid, and 12% Remote job distribution, with an average salary of $75,508 per year, or $36.3 per hour.

Data Engineer

TrueScripts

Indianapolis, IN • On-site, Remote

$102K - $123K/yr

Full-time

Posted 19 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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