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Remote Data Engineering Jobs in Indianapolis, IN

Marlabs

Data Practice Lead (Remote)

Indianapolis, IN · Remote

Marlabs, a global AI and Digital Solutions Consulting firm, delivers intelligent solutions across AI, data, analytics, and product engineering. Since 2000, we have partnered with some of the largest ...

Kobie Marketing

Director, Product

Indianapolis, IN · Remote

$238K - $249K/yr

As a remote-first organization headquartered in St. Petersburg, Florida, Kobie values meaningful in ... You will work directly with Product, Data Engineering, Client Services, and Commercial teams to ...

Olsson

Licensed Civil Engineer - Data Center

Carmel, IN · Remote

$88K - $116K/yr

This role will give you the opportunity to work on some of the largest and most complex engineering ... fully remote in various locations of the US. This role includes flexible work options to ...

A.C. Coy

Cobol/IDMS Developer (Remote)

Indianapolis, IN · Remote

$48 - $65/hr

... data processing systems for product and commercial software. * Determine computer user needs ... Bachelor's degree in Computer Science, Software Engineering, or a related field. * 4+ years of IBM ...

A.C. Coy

Cobol/IDMS Developer (Remote)

Indianapolis, IN · Remote

$48 - $65/hr

... data processing systems for product and commercial software. * Determine computer user needs ... Bachelor's degree in Computer Science, Software Engineering, or a related field. * 4+ years of IBM ...

A.C. Coy

Cobol/IDMS Developer (Remote)

Indianapolis, IN · Remote

$48 - $65/hr

... data processing systems for product and commercial software. * Determine computer user needs ... Bachelor's degree in Computer Science, Software Engineering, or a related field. * 4+ years of IBM ...

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All JobsData Engineering JobsRemote Data Engineering JobsRemote Data Engineering Jobs in Indianapolis, IN

Remote Data Engineering information

See Indianapolis, IN salary details

$42.5K

$124K

$169.7K

How much do remote data engineering jobs pay per year?

As of Sep 3, 2026, the average yearly pay for remote data engineering 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 remote data engineering?

Remote data engineering involves designing, building, and maintaining data systems and pipelines while working from a location outside of a traditional office. Remote data engineers use tools to collect, process, and store large sets of data, making it accessible for analysis and business decision-making. They collaborate with teams virtually, often using cloud-based technologies, to ensure that data infrastructure is reliable, scalable, and secure. This role requires strong technical skills in programming, databases, and data architecture, as well as the ability to communicate effectively in a distributed work environment.

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

To thrive as a Remote Data Engineer, you need strong programming skills (such as Python, Java, or Scala), experience with data modeling, ETL processes, and a solid understanding of database systems, often supported by a degree in computer science or a related field. Proficiency with big data tools like Apache Spark, Hadoop, cloud platforms (AWS, Azure, GCP), and certifications in these technologies is highly valued. Excellent problem-solving abilities, self-motivation, and clear communication are crucial soft skills for remote collaboration and project delivery. These competencies ensure effective data pipeline development, reliable data management, and seamless teamwork across distributed environments.

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

Remote data engineers often work with distributed teams, which requires strong communication and organization skills. They collaborate using tools like Slack, Zoom, and project management platforms to stay aligned on data pipeline development, troubleshooting, and deployment. Regular stand-ups, asynchronous documentation, and clear communication of progress are essential for ensuring everyone is on the same page, regardless of location. Flexibility in working hours and proactive scheduling of meetings help facilitate effective collaboration and project delivery.

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

AspectRemote Data EngineeringRemote Data Analyst
Required CredentialsBachelor's in CS, Data Science, or related field; experience with SQL, Python, cloud platformsBachelor's in Statistics, Data Science, or related; proficiency in Excel, SQL, visualization tools
Work EnvironmentBuilds data pipelines, manages databases, works with cloud infrastructureAnalyzes data sets, creates reports, visualizes data insights
Employer & Industry UsageTech companies, finance, healthcare, e-commerceMarketing agencies, finance, retail, consulting

Remote Data Engineering focuses on designing and maintaining data infrastructure, while Remote Data Analysts interpret data to provide insights. Both roles require strong analytical skills but differ in technical depth and responsibilities.

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

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

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

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

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

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

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

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

Remote Data Engineering jobs near you
Infographic showing various Remote Data Engineering job openings in Indianapolis, IN as of August 2026, with employment types broken down into 100% Full Time. Highlights an 100% Remote job distribution, with an average salary of $123,992 per year, or $59.6 per hour.

Data Platform Engineer

Renaissance Life and Health Insurance Company of America

Indianapolis, IN • Remote

$95K - $105K/yr

Full-time

Re-posted 11 days ago

Job description

Job Title:

Data Platform Engineer

Number of Positions:

1

Location:

Indianapolis, IN

Location Specifics:

Fully Remote

Job Summary:

Renaissance Benefits is hiring an experienced Data Platform Engineer to join our growing team!

The Data Platform Engineer helps scale Renaissance's data platform and integrate it across the organization. This role designs and builds the integration layer connecting the Microsoft Fabric-based data platform with the broader Azure ecosystem and API infrastructure. The position partners closely with the Data Platform Lead, AI Manager, and engineering teams to translate strategic direction into durable, scalable architecture and enable teams to consume platform capabilities reliably and independently.

What will this role entail?

  • Design and implement the integration layer between the Microsoft Fabric platform and Azure services, including Azure API Management, Azure Data Factory, Event Hubs, and Azure Databricks.

  • Define data contracts, API standards, and integration patterns that enable partner development teams to self-serve against the platform.

  • Establish scalable platform architecture that can be extended as organizational needs evolve.

  • Partner with the AI Manager to ensure the data platform supports current and future AI and machine learning initiatives.

  • Build and maintain robust data pipelines using Microsoft Fabric, Azure Data Factory, and related data platform tooling.

  • Implement data quality, governance, and lineage practices across the platform.

  • Drive platform reliability and performance by proactively identifying and resolving bottlenecks.

  • Evaluate and recommend tools, technologies, and process improvements that advance the data platform roadmap.

  • Perform other related duties as assigned.

Minimum Requirements:

  • Bachelor's degree in computer science, information systems, data engineering, or a related field preferred.

  • Five or more years of experience in data engineering, platform engineering, or a related technical role.

  • Strong hands-on experience with Microsoft Azure, including Azure Data Factory, Azure API Management, Azure Synapse, or related services.

  • Experience designing integration architectures, data contracts, and platform patterns for use by external or partner development teams.

  • Experience with data modeling, pipeline orchestration, and scalable data infrastructure.

  • Strong communication skills with the ability to collaborate effectively across engineering, data, product, and business teams.

  • Ability to operate with autonomy, sound judgment, and a solution-oriented mindset.

  • Willingness to learn and adopt new tools, technologies, and process improvements, including automation or AI-enabled solutions.

  • Uses AI tools responsibly within company, security, and compliance guidelines.

Base Salary Range: $95,000-105,000

The company will provide equal employment and advancement opportunity within the context of its unique business environment without regard to race, color, religion, gender, gender identity, gender expression, age, national origin, familial status, citizenship, genetic information, disability, sex, sexual orientation, marital status, pregnancy, height, weight, military status, or any other status protected under federal, state, or local law or ordinance.

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