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Data Engineer Jobs in Indianapolis, IN (NOW HIRING)

Data Engineer

Indianapolis, IN ยท 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 Engineer

Indianapolis, IN ยท 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 ...

Data Engineer

Indianapolis, IN ยท 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 ยท 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 ยท On-site

$109K - $131K/yr

Responsibilities Data Engineering & Pipeline Architecture * Design, build, and maintain the data pipeline architecture behind the unified CMC Operational Data Hub * Apply strong data modeling ...

Data Engineer

Carmel, IN ยท 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 ...

Data Engineer

Indianapolis, IN ยท 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

Indianapolis, IN ยท 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

Indianapolis, IN

$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 ยท 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 ยท 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 ...

Cloud Data Engineer

Indianapolis, IN ยท 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 ...

Cloud Data Engineer

Indianapolis, IN ยท 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 ...

Data Engineer

Indianapolis, IN ยท 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 I

Whiteland, IN ยท On-site

$114K - $137K/yr

At DHL Supply Chain, we're looking for a Data Engineer I who's excited to build reliable data pipelines, enhance data accessibility, and support innovative solutions across the business. This is your ...

Data Engineer

Indianapolis, IN ยท 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 ...

Sr. Data Engineer

Indianapolis, IN ยท On-site

$109K - $131K/yr

We are seeking a highly skilled Data Engineer/Developer to join a growing team focused on building scalable, efficient data solutions. This role is ideal for someone who thrives in a modern data ...

Sr. Data Engineer

Indianapolis, IN ยท 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 ...

Now hiring for our Data Engineer cohort starting in November 2026. To apply, please submit a formal application through our website: Dev10 Apply Here What We Require * Willingness to relocate ...

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Showing results 1-20

Data Engineer information

See Indianapolis, IN salary details

$42.5K

$124K

$169.7K

How much do data engineer jobs pay per year?

As of Sep 6, 2026, the average yearly pay for data engineer in Indianapolis, IN is $123,992.00, according to ZipRecruiter salary data. Most workers in this role earn between $109,400.00 and $131,400.00 per year, depending on experience, location, and employer.

What is a data engineer?

Data Engineers are IT professionals who design, construct, install, and maintain large-scale processing systems and other infrastructure for collecting, storing, and analyzing data. They build and optimize data pipelines and architectures that allow organizations to efficiently access and use data for business insights. Data Engineers work closely with data scientists, analysts, and other stakeholders to ensure that data is reliable, accessible, and secure. Their responsibilities often include working with databases, cloud platforms, and big data tools.

What are the key skills and qualifications needed to thrive as a data engineer, and why are they important?

To thrive as a Data Engineer, you need a strong background in computer science, data modeling, and programming languages such as Python or Java, often coupled with a relevant degree. Familiarity with ETL tools, big data frameworks (like Hadoop or Spark), and cloud platforms (such as AWS or Azure) is typically required, along with certifications like AWS Certified Data Analytics. Strong problem-solving skills, attention to detail, and effective communication set exceptional data engineers apart. These skills and qualities are essential for building robust data pipelines, ensuring data quality, and supporting data-driven decision-making across organizations.

What does a data engineer do?

The job duties of a data engineer involve helping with the development of systems, software, and infrastructure used to process, store and analyze data. Your responsibilities in this career include working to install data management software. Your employer may expect you to perform maintenance and install updates to all software and systems that they use for data acquisition, management, and analysis. Data engineers also analyze existing data systems to find ways to improve efficiency and accessibility. You then suggest upgrades or changes based on your assessment.

How do data engineers typically collaborate with data scientists and analysts within an organization?

Data Engineers play a crucial role in ensuring that Data Scientists and Analysts have reliable, well-structured data for their projects. This collaboration often involves building and maintaining data pipelines, optimizing data storage solutions, and troubleshooting data quality issues. Regular communication and agile teamwork are common, with Data Engineers frequently participating in meetings to understand analytical requirements and adjust data processes accordingly. By working closely together, these teams can quickly iterate on data models and deliver actionable insights to drive business decisions.

What is the difference between Data Engineer vs Data Scientist?

AspectData EngineerData Scientist
Primary FocusBuilding and maintaining data pipelines and infrastructureAnalyzing data to extract insights and create models
SkillsSQL, ETL, programming (Python, Java), database managementStatistics, machine learning, data analysis, programming (Python, R)
Work EnvironmentData warehouses, cloud platforms, backend systemsData analysis environments, research labs, visualization tools
Common ToolsApache Spark, Hadoop, Airflow, SQLJupyter, RStudio, Tableau, scikit-learn

Data Engineers focus on creating and maintaining the infrastructure that allows data to be collected, stored, and processed efficiently. Data Scientists analyze this data to generate insights, build predictive models, and support decision-making. While their skills overlap, Data Engineers are more involved in data pipeline development, whereas Data Scientists focus on data analysis and modeling.

Is a data engineer entry level?

Data engineering is typically an intermediate to senior-level role that requires experience with programming, databases, and data pipeline tools. Entry-level positions may be available for those with relevant internships or strong foundational skills, but most data engineering roles demand several years of experience or advanced knowledge of tools like SQL, Python, and cloud platforms.

What is the role of a data engineer?

A data engineer designs, builds, and maintains data pipelines and infrastructure to collect, process, and store large volumes of data. They work with tools like SQL, Python, and cloud platforms to ensure data is accessible and reliable for analysis and decision-making.

What are the most commonly searched types of Data Engineer jobs in Indianapolis, IN?

The most popular types of Data Engineer jobs in Indianapolis, IN are:

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

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

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

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

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

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

Infographic showing various Data Engineer 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 $123,992 per year, or $59.6 per hour.

$102K - $123K/yr

Full-time

Posted 19 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 Overviewย 

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.ย 

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.ย 

Position Summaryย 

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.ย 

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.ย 

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.ย 

Responsibilitiesย 

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

Requirements

Qualificationsย 

Requiredย 

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

Preferred Qualificationsย 

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

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