ZipRecruiter

Log In

2

Remote Data Engineer Jobs in Carmel, IN (NOW HIRING)

TrueScripts

Data Engineer

Indianapolis, IN · On-site +1

$102K - $123K/yr

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

Cummins Inc.

Data Modeler

Indianapolis, IN · Remote

$52.25 - $67.75/hr

We are looking for a talented Data Modeler/Data Architect to join our team specializing in Systems/Information Technology for Cummins, Inc. as part of DBU Data & Analytics, Remote. In this role, you

New

Cummins Inc.

Data Modeler

Indianapolis, IN · Remote

$52.25 - $67.75/hr

We are looking for a talented Data Modeler/Data Architect to join our team specializing in Systems/Information Technology for Cummins, Inc. as part of DBU Data & Analytics, Remote. In this role, you

Cummins

Data Modeler

Indianapolis, IN · Remote

$52.25 - $67.75/hr

We are looking for a talented Data Modeler/Data Architect to join our team specializing in Systems/Information Technology for Cummins, Inc. as part of DBU Data & Analytics, Remote. In this role, you

Cummins

Data Modeler

Indianapolis, IN · On-site +1

$123K - $150K/yr

We are looking for a talented Data Modeler/Data Architect to join our team specializing in Systems/Information Technology for Cummins, Inc. as part of DBU Data & Analytics, Remote. In this role, you

Harnham

Senior Analytics Engineer

Indianapolis, IN · Remote

Senior Analytics Engineer Manufacturing & Supply Chain Focus Remote (EST Hours) $140K to $170K base plus bonus We are working with a high-growth manufacturing business that is investing heavily in

Harnham

Senior Analytics Engineer

Indianapolis, IN · Remote

Senior Analytics Engineer Manufacturing & Supply Chain Focus Remote (EST Hours) $140K to $170K base plus bonus We are working with a high-growth manufacturing business that is investing heavily in

Olsson

Licensed Civil Engineer - Data Center

Carmel, IN · Remote

$88K - $116K/yr

Company Description We are Olsson. We engineer and design solutions that improve the world around us. As a company, we promise to always be responsive, transparent, and focused on results - for our

A.C. Coy

Cobol/IDMS Developer (Remote)

Indianapolis, IN · On-site +1

$48 - $65/hr

Overview * Tier One Technologies is looking for a COBOL/IDMS Developer to maintain and support a large payroll application as well as helping in the database environment. * This will be a 100% remote

next page

Showing results 1-20

All JobsData Engineer JobsRemote Data Engineer JobsRemote Data Engineer Jobs in Carmel, IN

Remote Data Engineer information

See Carmel, IN salary details

$42.2K

$122.9K

$168.1K

How much do remote data engineer jobs pay per year?

As of Sep 11, 2026, the average yearly pay for remote data engineer in Carmel, IN is $122,871.00, according to ZipRecruiter salary data. Most workers in this role earn between $108,500.00 and $130,200.00 per year, depending on experience, location, and employer.

What is a remote data engineer?

A Remote Data Engineer is a professional who designs, builds, and maintains data pipelines, databases, and data processing systems while working from a location outside of a traditional office. They collaborate with data scientists, analysts, and other stakeholders to ensure data is collected, stored, and made accessible efficiently and securely. Remote Data Engineers use programming languages like Python or Scala, work with technologies such as SQL, Hadoop, or cloud platforms, and address challenges related to data quality and scalability. Their remote role allows them to work for companies regardless of geographic location, often relying on virtual collaboration tools to stay connected with their teams.

What does a remote data engineer do?

As a remote data engineer, you focus on collecting, storing, and organizing large amounts of information. You work from home to design, develop, and maintain systems for the mining, warehousing, and processing of data. A data engineer communicates with employers, clients, or other data professionals to assess the needs of the project and develop and implement solutions to meet those needs. Data engineers also take steps to manage current database architecture and make updates when needed. Remote engineers typically handle their responsibilities in a cloud-based environment using “big data” tools, such as Amazon Web Services (AWS) and SQL.

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

To thrive as a Remote Data Engineer, you need strong programming skills in languages like Python or Scala, expertise in SQL, data modeling, and a background in computer science or a related field. Familiarity with cloud platforms (such as AWS, Azure, or GCP), big data tools (like Hadoop and Spark), and certifications in cloud or data engineering are highly valued. Excellent problem-solving, communication, and self-management skills help remote data engineers collaborate effectively and stay productive in a distributed environment. These competencies ensure reliable data pipelines, scalable solutions, and seamless teamwork, which are critical for organizational success in data-driven projects.

How do remote data engineers typically collaborate with other team members across different time zones?

Remote Data Engineers often work with cross-functional teams, including data scientists, analysts, and software engineers, many of whom may be located in different parts of the world. Collaboration is usually facilitated through project management tools, version control platforms, and regular virtual meetings. It’s common to have a mix of synchronous check-ins and asynchronous communication, allowing for flexible scheduling and efficient handoffs. Strong written communication skills and proactive status updates are essential for staying aligned with team objectives and project deadlines.

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

AspectRemote Data EngineerRemote Data Analyst
Required CredentialsBachelor's in CS, Data Science, or related; SQL, Python, cloud certificationsBachelor's in Statistics, Data Science, or related; SQL, Excel, visualization tools
Work EnvironmentCollaborates with data engineering teams, cloud platforms, big data toolsWorks with business teams, dashboards, reporting tools
Industry UsageTech, finance, healthcare, e-commerceMarketing, finance, retail, healthcare
Common Search IntentBuilding data pipelines, data infrastructureData reporting, insights, visualization

Remote Data Engineers focus on designing and maintaining data pipelines and infrastructure, often requiring programming and cloud skills. Remote Data Analysts interpret data, create reports, and provide insights using visualization tools. While both roles work with data, their responsibilities and skill sets differ, making each suited for different career paths within data teams.

Are remote data engineers still in demand?

Remote data engineers are currently in high demand due to the increasing reliance on data-driven decision making and cloud-based data platforms. Skills in SQL, Python, cloud services, and data pipeline tools are highly sought after, and many organizations continue to hire for remote roles to access a broader talent pool.

Can a remote data engineer work remotely?

Yes, remote data engineers can work remotely, as the role primarily involves managing data pipelines, databases, and cloud-based tools that can be accessed from anywhere with an internet connection. Many companies offer remote positions for data engineers, often requiring skills in SQL, Python, cloud platforms, and data architecture. However, some roles may require occasional on-site presence or specific certifications depending on the employer's policies.
More about Remote Data Engineer jobs

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

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

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

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

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

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

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

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

Remote Data Engineer jobs near you
Infographic showing various Remote Data Engineer job openings in Carmel, IN as of August 2026, with employment types broken down into 1% As Needed, 81% Full Time, 15% Part Time, and 3% Contract. Highlights an 84% Physical, 5% Hybrid, and 11% Remote job distribution, with an average salary of $122,871 per year, or $59.1 per hour.

Data Engineer

Indianapolis, IN • On-site, Remote

TrueScripts
11 - 50 employees
Learn more about TrueScriptsexternal

$102K - $123K/yr

Full-time

Posted 23 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.

#LI-VM1

Apply