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Senior Data Integration Developer Jobs in Indiana

Data Engineer

Indianapolis, IN Β· On-site +1

$102K - $123K/yr

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 ...

Senior Data Engineer & Analytics Lead Location: South Bend, IN Compensation: $90,000 - $115,000 ... , or similar. * Experience with AI-assisted development tools and modern analytics workflows.

Overview We are seeking a Senior Data Engineer & Analytics Lead to drive machine learning ... , or similar. * Experience with AI-assisted development tools and modern analytics workflows.

Senior Data Engineer & Analytics Lead Location: South Bend, IN Compensation: $90,000 - $115,000 ... , or similar. * Experience with AI-assisted development tools and modern analytics workflows.

Senior Data Scientist

Columbus, IN Β· On-site

$80K - $90K/yr

MatchPoint Solutions is a fast-growing, young, energetic global IT-Engineering services company ... Senior Data Scientist Location: (Remote / Hybrid / On-site - City, Country) Columbus, IN Employment ...

The ideal background is a data platform architect or senior data engineer who has led delivery on ... Data integration patterns between OT source systems and cloud analytics platforms. * Experience ...

Senior Manager Data Architecture

Columbus, IN Β· On-site

$62.50 - $83.75/hr

Sr. Manager, Data Architecture About Circle K Circle K is a global leader in convenience and fuel ... DevOps/DataOps, Data Governance, and business product teams to shape integrated data solutions ...

The Sr. Data Warehouse /Business Analyst will serve as a leader for Business Intelligence and work ... Gather requirements for data integration, data visualizations, dashboards, and reports. * Must have ...

Sr. Manager, Data Engineering Location: Tire Rack - South Bend, IN Department: Information ... Lead enterprise data integration and governance strategy, ensuring data is secure, reliable, high ...

Corteva Agriscienceβ„’ has an exciting opportunity for a Senior Data Scientist to join our ... You will be part of a globally distributed team of data scientists and engineers that is ...

Showing results 41-60

Senior Data Integration Developer information

See Indiana salary details

$42

$58

$68

How much do senior data integration developer jobs pay per hour?

As of Sep 14, 2026, the average hourly pay for senior data integration developer in Indiana is $58.43, according to ZipRecruiter salary data. Most workers in this role earn between $51.01 and $64.95 per hour, depending on experience, location, and employer.

What is a senior data integration developer?

Senior Data Integration Developers are experienced IT professionals who design, develop, and maintain data integration solutions across multiple systems and platforms. They are responsible for ensuring that data from various sources is accurately collected, transformed, and loaded (ETL) to support business intelligence, analytics, and operational needs. In addition to technical expertise in data integration tools and programming, they often lead projects, mentor junior developers, and collaborate with stakeholders to optimize data workflows. Their work is critical for enabling organizations to leverage data for informed decision-making.

What are the key skills and qualifications needed to thrive as a senior data integration developer?

To thrive as a Senior Data Integration Developer, you need strong expertise in data modeling, ETL processes, SQL, and a solid understanding of database architectures, typically backed by a degree in computer science or a related field. Familiarity with integration tools such as Informatica, Talend, Microsoft SSIS, and relevant certifications are highly valuable. Exceptional problem-solving, communication, and project management skills set top performers apart in this role. These skills ensure efficient, reliable data flow across systems, supporting organizational decision-making and operational effectiveness.

What are some common challenges senior data integration developers face when working on large-scale projects?

Senior Data Integration Developers often encounter challenges related to managing complex data sources, ensuring data quality, and maintaining system performance as data volumes grow. Coordinating across multiple teams, such as database administrators, data architects, and business analysts, requires excellent communication and project management skills. Additionally, adapting to evolving technology stacks and integrating new tools can add complexity, making it essential to stay updated on industry best practices. Overcoming these challenges is key to delivering reliable, scalable integration solutions.

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For Senior Data Integration Developer jobs in Indiana, the most frequently searched job titles are:

What job categories do people searching Senior Data Integration Developer jobs in Indiana look for?

The top searched job categories for Senior Data Integration Developer jobs in Indiana are:

What cities in Indiana are hiring for Senior Data Integration Developer jobs?

Cities in Indiana with the most Senior Data Integration Developer job openings:

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Infographic showing various Senior Data Integration Developer job openings in Indiana as of June 2026, with employment types broken down into 2% As Needed, 88% Full Time, 7% Part Time, and 3% Contract. Highlights an 89% Physical, 2% Hybrid, and 9% Remote job distribution, with an average salary of $121,533 per year, or $58.4 per hour.

Data Engineer

Indianapolis, IN β€’ On-site

TrueScripts Management Services
11 - 50 employees

$102K - $123K/yr

Full-time

Posted 27 days ago


Key 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.

  • Design and implement APIs, file exchange processes, and system-to-system integrations that support business operations and application development.


Job description

Description

Company OverviewΒ 

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.Β 

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.Β 

Position SummaryΒ 

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.Β 

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.Β 

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.Β 

ResponsibilitiesΒ 

  • Design, develop, deploy, and support cloud-native data solutions within Microsoft Azure.Β 
  • Build and maintain scalable data ingestion, transformation, and orchestration pipelines using Azure services and modern integration patterns.Β 
  • Develop and support integrations between internal applications, third-party vendors, clients, healthcare partners, and other external data trading partners.Β 
  • Design and implement APIs, file exchange processes, and system-to-system integrations that support business operations and application development.Β 
  • Collaborate closely with Application Engineers to design data access patterns, integration architectures, and reusable data services.Β 
  • Create and maintain operational data models that support application functionality and business processes.Β 
  • Build and support Azure-based storage platforms, databases, and data services that enable application and analytics workloads.Β 
  • Develop secure processes for exchanging data through APIs, flat files, SFTP, EDI transactions, healthcare interoperability standards, and other integration mechanisms as required.Β 
  • Support real-time and near real-time data processing requirements where business needs warrant.Β 
  • Design and implement monitoring, alerting, logging, and recovery processes for data pipelines and integrations.Β 
  • Troubleshoot and resolve data quality, integration, performance, and reliability issues across development, test, and production environments.Β 
  • Develop automation solutions that improve reliability, consistency, and operational efficiency.Β 
  • Maintain documentation for integrations, data flows, APIs, pipelines, and supporting technologies.Β 
  • Participate in architecture discussions and contribute recommendations related to scalability, reliability, performance, interoperability, and security.Β 
  • Utilize source control, CI/CD pipelines, and DevOps practices to support reliable deployment and maintenance of data solutions.Β 
  • Ensure compliance with company security standards and regulatory requirements related to healthcare and sensitive information.Β 
  • Support AI, machine learning, and advanced analytics initiatives through the delivery of trusted and accessible data assets.Β 
  • Stay current with Microsoft Azure services, modern data engineering practices, and emerging technologies.Β 

Requirements

QualificationsΒ 

RequiredΒ 

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

Preferred QualificationsΒ 

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

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