ZipRecruiter

Log In

2

Remote Data Platform Engineer Jobs in Indiana (NOW HIRING)

Deckers

Chief Digital & Data Officer Location: United States (Remote) Interested applicants must reside in ... Collaborating with data architects, platform and DevOps engineering teams, product leaders, and ...

TrueScripts

Data Engineer

Indianapolis, IN · On-site +1

$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 ...

Marlabs

Data Practice Lead

Indianapolis, IN · On-site +1

Collaborate with cross-functional teams, engineering, BI, platform, integration, and A, to drive innovation and enable data democratization. * Mentor and guide data practitioners, leading technical ...

Transparent Hiring

$106K - $128K/yr

This is a hands-on engineering role. You will design and build solutions from scratch with limited ... Familiarity with cloud platforms and modern data tooling Location & working model * Remote-first ...

Deckers

United States (Remote) Interested applicants must reside in one of the following approved states ... Collaborate with data engineering teams to translate architecture designs into scalable physical ...

Deckers

United States (Remote) Interested applicants must reside in one of the following approved states ... You'll collaborate with engineering, analytics, governance, and business teams to drive adoption ...

next page

Showing results 1-20

All JobsData Platform Engineer JobsRemote Data Platform Engineer JobsRemote Data Platform Engineer Jobs in Indiana

Remote Data Platform Engineer information

See Indiana salary details

$42.3K

$123.4K

$168.9K

How much do remote data platform engineer jobs pay per year?

As of Sep 6, 2026, the average yearly pay for remote data platform engineer 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 is a remote data platform engineer?

A Remote Data Platform Engineer is a professional who designs, builds, and manages large-scale data infrastructure and platforms, while working remotely. They are responsible for ensuring data is efficiently collected, stored, processed, and made accessible for analysis, often using cloud technologies and big data tools. These engineers collaborate with data scientists, analysts, and other engineers to maintain data pipelines and optimize system performance. Their work enables organizations to leverage data for business insights, all while enjoying the flexibility of remote work.

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

To thrive as a Remote Data Platform Engineer, you need expertise in data engineering, database management, and cloud platforms, usually supported by a degree in computer science or a related field. Familiarity with tools such as SQL, Python, Spark, AWS, Azure, and certifications like AWS Certified Data Analytics are highly valued. Strong problem-solving, communication, and self-motivation skills help you excel in remote, collaborative environments. These skills and qualities ensure the efficient design, operation, and scaling of robust data platforms that drive business insights and operations.

What are the typical collaboration methods for a remote data platform engineer working with cross-functional teams?

As a Remote Data Platform Engineer, you will frequently collaborate with data scientists, analysts, and software engineers through virtual meetings, project management tools, and shared documentation platforms. Effective communication is essential, as much of the teamwork happens asynchronously using tools like Slack, Jira, and Confluence. You may participate in regular stand-ups, sprint planning, and code reviews to ensure alignment across the team. Building strong relationships remotely often involves proactive updates and clear documentation to keep all stakeholders informed and projects moving smoothly.

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

AspectRemote Data Platform EngineerData Engineer
CredentialsBachelor's in CS, Data Science, or related; experience with cloud platformsBachelor's in CS, Data Science, or related; experience with databases and ETL tools
Work EnvironmentRemote or hybrid, collaborating with data teams and cloud providersOn-site or remote, focusing on data pipelines and infrastructure
Industry UsageTech, finance, healthcare, and other data-driven sectorsSame industries, often overlapping roles
Search & Comparison IntentHigh overlap, often searched together due to similar skills

The Remote Data Platform Engineer focuses on building and maintaining cloud-based data platforms, ensuring scalability and performance. Data Engineers develop and manage data pipelines, databases, and ETL processes. While roles overlap in skills and industries, the Platform Engineer emphasizes cloud infrastructure, whereas Data Engineers concentrate on data processing and storage.

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

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

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

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

What cities in Indiana are hiring for Remote Data Platform Engineer jobs?

Cities in Indiana with the most Remote Data Platform Engineer job openings:

Remote Data Platform Engineer jobs near you
Infographic showing various Remote Data Platform Engineer job openings in Indiana as of August 2026, with employment types broken down into 1% As Needed, 83% Full Time, 13% Part Time, and 3% Contract. Highlights an 87% Physical, 3% Hybrid, and 10% Remote job distribution, with an average salary of $123,433 per year, or $59.3 per hour.

Data Platform Engineer

Renaissance Life and Health Insurance Company of America

Indianapolis, IN • Remote

$95K - $105K/yr

Full-time

Re-posted 14 days ago

Key responsibilities

  • Design and implement the integration layer between the Microsoft Fabric platform and Azure services.

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

  • Define data contracts, API standards, and integration patterns for partner development teams.

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.

Apply