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Data Engineer Data Jobs in Indianapolis, IN (NOW HIRING)

Data Engineer

Indianapolis, IN · On-site

$102K - $123K/yr

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 ...

Data Platform Engineer (Data 360) We are looking for a Data Platform Engineer to help us support our continued growth. The Data Platform Engineer is responsible for building, implementing, and ...

Cloud Data Engineer

Indianapolis, IN · On-site

$109K - $131K/yr

As a Cloud Data Engineer , you will build the modern Azure data platform that powers analytics, AI/ML, and enterprise integration for the missions our clients care about most. Your work makes it ...

Cloud Data Engineer

Indianapolis, IN · On-site

$109K - $131K/yr

As a Cloud Data Engineer , you will build the modern Azure data platform that powers analytics, AI/ML, and enterprise integration for the missions our clients care about most. Your work makes it ...

Cloud Data Engineer

Indianapolis, IN

$109K - $131K/yr

As a Cloud Data Engineer , you will build the modern Azure data platform that powers analytics, AI/ML, and enterprise integration for the missions our clients care about most. Your work makes it ...

Data Engineer

Indianapolis, IN · On-site

$85 - $120/hr

Working within our data engineering team, this role assists in transforming raw data into reliable, accessible, and actionable information for internal stakeholders. The Data Engineer collaborates ...

New

Data Engineer

Indianapolis, IN · On-site

$109K - $131K/yr

The Data Engineer plays a key role supporting our organization's data ecosystem, contributing to the development, maintenance, and optimization of data pipelines and systems that power sales ...

Data Engineer

Indianapolis, IN · On-site

$109K - $131K/yr

The Data Engineer plays a key role supporting our organization's data ecosystem, contributing to the development, maintenance, and optimization of data pipelines and systems that power sales ...

Data Engineer

Indianapolis, IN · On-site

$109K - $131K/yr

Data Engineering & Pipeline Development Design, develop, and optimize scalable data pipelines using Databricks, PySpark, Python, SQL, and Delta Lake to ingest, transform, and load data from diverse ...

Data Engineer

Carmel, IN · On-site

$110K - $120K/yr

Data Engineers build data pipelines that transform raw, unstructured data into formats that can be used for analysis. They are responsible for creating and maintaining the analytics infrastructure ...

Sr. Data Engineer

Indianapolis, IN · On-site

$89 - $139/hr

Delta Faucet Company is seeking a Senior Data Engineer to lead the design, development, and scaling of enterprise data pipelines that power omni-retail analytics, advanced modeling, and AI/ML ...

New

Sr. Data Engineer

Indianapolis, IN · On-site

$109K - $131K/yr

Delta Faucet Company is seeking a Senior Data Engineer to lead the design, development, and scaling of enterprise data pipelines that power omni-retail analytics, advanced modeling, and AI/ML ...

Data Engineer

Indianapolis, IN · On-site

$109K - $131K/yr

As a Data Engineer on our Finance amp; Analytics team, you will build and maintain the cloud data infrastructure that powers reporting and insights across the organization. Working closely with our ...

Data Engineer

Indianapolis, IN · On-site

$109K - $131K/yr

As a Data Engineer on our Finance & Analytics team, you will build and maintain the cloud data infrastructure that powers reporting and insights across the organization. Working closely with our ...

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 ...

New

Data Engineer

Indianapolis, IN · Hybrid

$109K - $131K/yr

... and engineers to improve efficiency and data organization; improve performance through data structure and query optimization Ensure data integrity, quality, and security across all systems and ...

Data Engineer

Indianapolis, IN · On-site

$120 - $180/hr

What You Will DoData Engineering & Pipeline Development * Design, develop, and optimize scalable data pipelines using Databricks, PySpark, Python, SQL, and Delta Lake to ingest, transform, and load ...

New

In data engineering at PwC, you will focus on designing and building data infrastructure and systems to enable efficient data processing and analysis. You will be responsible for developing and ...

Data Strategy-Manager

Indianapolis, IN · On-site

$99K - $232K/yr

... Data Engineer / Azure Solutions Architect - Google Professional Data Engineer - DAMA CDMP (Certified Data Management Professional) - Informatica Certified Professional - Alation Certified Data ...

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Showing results 1-20

Data Engineer Data information

See Indianapolis, IN salary details

$44K

$157.7K

$232.8K

How much do data engineer data jobs pay per year?

As of Sep 3, 2026, the average yearly pay for data engineer data in Indianapolis, IN is $157,735.00, according to ZipRecruiter salary data. Most workers in this role earn between $127,600.00 and $162,500.00 per year, depending on experience, location, and employer.

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

AspectData Engineer DataData Analyst
Primary RoleBuilds and maintains data pipelines and infrastructureAnalyzes data to generate insights and reports
Skills & CertificationsSQL, Python, ETL tools, cloud platformsSQL, Excel, data visualization tools
Work EnvironmentData engineering teams, IT departmentsBusiness units, analytics teams
Industry UsageTech, finance, healthcare, any data-driven industryMarketing, finance, operations, business intelligence

While Data Engineer Data focuses on creating and managing data infrastructure, Data Analysts interpret this data to support decision-making. Both roles require strong SQL skills, but Data Engineers typically work more with data pipelines and cloud platforms, whereas Data Analysts focus on data visualization and reporting.

What are popular job titles related to Data Engineer Data jobs in Indianapolis, IN?

For Data Engineer Data jobs in Indianapolis, IN, the most frequently searched job titles are:

What job categories do people searching Data Engineer Data jobs in Indianapolis, IN look for?

The top searched job categories for Data Engineer Data jobs in Indianapolis, IN are:

What cities near Indianapolis, IN are hiring for Data Engineer Data jobs?

Cities near Indianapolis, IN with the most Data Engineer Data job openings:

Infographic showing various Data Engineer Data job openings in Indianapolis, IN as of August 2026, with employment types broken down into 1% As Needed, 84% Full Time, 12% Part Time, and 3% Contract. Highlights an 88% Physical, 3% Hybrid, and 9% Remote job distribution, with an average salary of $157,735 per year, or $75.8 per hour.

$102K - $123K/yr

Full-time

Posted 16 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. 

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