1

Data Engineer Manager Jobs in Indiana (NOW HIRING)

Data Engineer

Indianapolis, IN · On-site +1

$102K - $123K/yr

Company Overview TrueScripts Management Services provides prescription benefit management expertise ... Position Summary The Data Engineer is responsible for designing, building, deploying, and ...

Data Engineer

Chandler, IN · On-site

$101K - $122K/yr

Leverage AI/Agentic frameworks to automate data management, governance, and data consumption ... data engineering including hands-on experience working with Cloud data solutions: creating ...

Data Engineer

Indianapolis, IN · On-site

$109K - $131K/yr

The CMC Project Management team is responsible for leading the design and execution of integrated ... Responsibilities Data Engineering & Pipeline Architecture * Design, build, and maintain the data ...

Data Engineer

Indianapolis, IN · On-site

$109K - $131K/yr

HIRING MANAGER Vice President of Information Technology RESPONSIBILITIES • Data warehouse design ... Engineer to ensure compliance with security controls and policies. • Stay current with emerging ...

Data Engineer

Indianapolis, IN · On-site

$109K - $131K/yr

The Data Engineer collaborates closely with the Information Technology, Analytics & Digital ... HIRING MANAGER Vice President of Information Technology RESPONSIBILITIES * Data warehouse design ...

Data Engineer

Indianapolis, IN · On-site

$109K - $131K/yr

HIRING MANAGER Vice President of Information Technology RESPONSIBILITIES • Data warehouse design ... Engineer to ensure compliance with security controls and policies. • Stay current with emerging ...

$103K - $124K/yr

... and product management for First Quality's Data and Analytics systems and Machine Learning ... The Data Engineer, as a key member of the Enterprise Data and Analytics team, provides technical ...

Industry/Sector Not Applicable Specialism Data, Analytics & AI Management Level Senior Manager & Summary At PwC, our people in data and analytics engineering focus on leveraging advanced technologies ...

Data Engineer

Indianapolis, IN

$109K - $131K/yr

Support the adoption of development best practices including source control, code management, and change tracking for data engineering solutions. Qualifications/ Education and Experience Requirements:

Data Engineer

Indianapolis, IN · On-site

$109K - $131K/yr

Support the adoption of development best practices including source control, code management, and change tracking for data engineering solutions. Qualifications/ Education and Experience Requirements:

Data Engineer

Woodburn, IN

$102K - $123K/yr

Data Engineer Build a Career That Matters with One of the World's Most Respected Employers ... Minimum of 1 to 3 years of Computer Science, Management of Information Systems, Application ...

Data Engineer

Woodburn, IN · On-site

$102K - $123K/yr

Data Engineer Build a Career That Matters with One of the World's Most Respected Employers ... Minimum of 1 to 3 years of Computer Science, Management of Information Systems, Application ...

Data Engineer

Noblesville, IN · On-site

$107K - $129K/yr

As a Data Engineer at Crescent Electric Supply, you will be responsible for the architecture, development, and management of Crescent's data pipelines, enabling reliable analytics and downstream ...

Data Engineer

Jeffersonville, IN · On-site

$109K - $131K/yr

As a Data Engineer at Crescent Electric Supply, you will be responsible for the architecture, development, and management of Crescent's data pipelines, enabling reliable analytics and downstream ...

Data Engineer I

Whiteland, IN · On-site

$114K - $137K/yr

Hands on experience developing and managing data pipelines, required * Strong understanding of SQL ... Proficiency in programming languages such as Python, Java, or Scala, required * Familiarity with ...

Data Engineer Sr.

Bloomington, IN · On-site

$99K - $120K/yr

This position reports directly within the MSA business organization and has a dotted-line relationship with the IT Manager responsible for Enterprise Data Engineering to ensure alignment with ...

New

Sr. Data Engineer

Indianapolis, IN · On-site

$109K - $131K/yr

Build and manage data transformations using DBT and/or SQLMesh * Develop solutions within ... of experience in data engineering or data development * Strong hands-on experience with:

Sr. Data Engineer

Indianapolis, IN · On-site

$109K - $131K/yr

This role is responsible for managing a complex POS-driven data ecosystem spanning multiple ... The Senior Data Engineer will work closely with analytics, data science, and business stakeholders ...

next page

Showing results 1-20

Data Engineer Manager information

See Indiana salary details

$42.3K

$123.4K

$168.9K

How much do data engineer manager jobs pay per year?

As of Sep 10, 2026, the average yearly pay for data engineer manager in Indiana is $123,433.00, according to ZipRecruiter salary data. Most workers in this role earn between $109,000.00 and $130,800.00 per year, depending on experience, location, and employer.

What does a data engineer manager do?

A Data Engineer Manager leads a team of data engineers to design, build, and maintain data pipelines and infrastructure. They collaborate with data scientists, analysts, and business stakeholders to ensure efficient data processing and accessibility. Their responsibilities include project management, team leadership, system architecture decisions, and optimizing data workflows. Additionally, they enforce best practices for data governance, security, and scalability.

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

To thrive as a Data Engineer Manager, you need robust experience in data architecture, pipeline design, team leadership, and a relevant degree in computer science or a related field. Proficiency with cloud platforms (like AWS or Azure), big data tools (such as Hadoop, Spark), and certifications in data engineering or project management are highly valued. Strong soft skills like effective communication, problem-solving, and mentorship set exceptional managers apart. These competencies enable strategic oversight of technical teams and ensure reliable, scalable data solutions that meet business objectives.

What are some typical challenges a data engineer manager faces in their role?

Data Engineer Managers often face the challenge of balancing technical project delivery with team development and stakeholder management. They must ensure data systems remain scalable and reliable while adapting to evolving business requirements and new technologies. Additionally, managing cross-functional communication between data engineers, analysts, and business leaders can require strong organizational and interpersonal skills. Success in this role requires staying current with industry trends and fostering a collaborative, innovative team culture.

How much does a data engineer manager make?

A data engineer manager typically earns between $110,000 and $160,000 annually, depending on experience, location, and company size. They often oversee data teams, manage data pipelines, and require strong skills in SQL, cloud platforms, and leadership. Salaries can vary based on industry demand and certifications held.

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

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

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

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

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

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

What cities in Indiana are hiring for Data Engineer Manager jobs?

Cities in Indiana with the most Data Engineer Manager job openings:

Infographic showing various Data Engineer Manager job openings in Indiana as of September 2026, with employment types broken down into 79% Full Time, 20% Part Time, and 1% Contract. Highlights an 86% Physical, 2% Hybrid, and 12% Remote job distribution, with an average salary of $123,433 per year, or $59.3 per hour.

Data Engineer

Indianapolis, IN

TrueScripts Management Services
11 - 50 employees

$102K - $123K/yr

Full-time

Posted 23 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 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. 

 #LI-VM1Â