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Remote Data Engineering Jobs in Fishers, IN (NOW HIRING)

Cummins Inc.

Data Architect

Indianapolis, IN · Remote

$61 - $78.50/hr

... Analytics, Remote. In this role, you will make an impact in the following ways: * Design and ... Knowledge of the latest technologies and trends in data engineering are highly preferred and ...

Cummins Inc.

Data Architect

Indianapolis, IN · Remote

$61 - $78.50/hr

... Analytics, Remote. In this role, you will make an impact in the following ways: * Design and ... Knowledge of the latest technologies and trends in data engineering are highly preferred and ...

Kobie Marketing

Sr. Data Engineer

Indianapolis, IN · Remote

$101K - $137K/yr

Join a National Top Workplace Named a Top Workplace in the USA and Top Remote Workplace, Kobie is ... Our Data Engineering team builds and maintains the operational data foundation that powers real ...

Kobie Marketing

Sr. Data Engineer

Indianapolis, IN · Remote

$108K - $147K/yr

Join a National Top Workplace Named a Top Workplace in the USA and Top Remote Workplace, Kobie is ... Our Data Engineering team builds and maintains the operational data foundation that powers real ...

Onebridge

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 ...

Onebridge

Snowflake Architect (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 ...

CSpring

Senior Data Analyst

Indianapolis, IN · On-site +1

$82K - $103K/yr

Our clients span the public and private sectors, and our work - from data strategy and engineering ... with company's remote work policy. * Domestic travel required less than 2% of the time.

CSpring

Senior Data Analyst

Indianapolis, IN · On-site +1

$82K - $103K/yr

Our clients span the public and private sectors, and our work -- from data strategy and engineering ... with company's remote work policy. * Domestic travel required less than 2% of the time.

Kobie Marketing

Director, Product

Indianapolis, IN · Remote

$222K - $233K/yr

Join a National Top Workplace Named a Top Workplace in the USA and Top Remote Workplace, Kobie is ... You will work directly with Product, Data Engineering, Client Services, and Commercial teams to ...

Kobie Marketing

Director, Product

Indianapolis, IN · Remote

$238K - $249K/yr

Join a National Top Workplace Named a Top Workplace in the USA and Top Remote Workplace, Kobie is ... You will work directly with Product, Data Engineering, Client Services, and Commercial teams to ...

Northwind Health Company

Be Seen First

Senior Full Stack Engineer

Indianapolis, IN · Remote

$135K - $165K/yr

This can be a remote role, but will have occasional travel. Candidates must reside in Central or ... Collaborate closely with Product Management, Architecture, QA, and Data Engineering to deliver ...

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

Remote Data Engineering information

See Fishers, IN salary details

$41.7K

$121.4K

$166.1K

How much do remote data engineering jobs pay per year?

As of Jul 29, 2026, the average yearly pay for remote data engineering in Fishers, IN is $121,415.00, according to ZipRecruiter salary data. Most workers in this role earn between $107,200.00 and $128,700.00 per year, depending on experience, location, and employer.

Can I work remotely as a data engineer?

Yes, remote data engineering roles are common, allowing professionals to work from various locations. These jobs often require skills in cloud platforms, programming, and data pipeline tools, and may involve collaboration through online communication tools.

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 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, and why are they important?

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.

What engineer makes $500,000 a year?

Senior data engineers with extensive experience, advanced skills in cloud platforms, and expertise in big data tools can earn salaries approaching or exceeding $500,000 annually, especially in high-cost-of-living areas or within large tech companies. Such compensation often includes bonuses, stock options, and other incentives.

How to make $1000 a week remote?

Remote data engineers can earn $1000 or more per week by working on high-demand projects, leveraging specialized skills in data pipelines, cloud platforms, and programming languages like Python or SQL. Building a strong portfolio, obtaining relevant certifications, and working with multiple clients or on freelance platforms can help increase weekly income. Consistent remote work and advanced expertise are key to reaching this earning level.

Is AI replacing data engineers?

AI is automating certain tasks within data engineering, such as data cleaning and pipeline management, but it does not replace the need for data engineers. Data engineers are essential for designing, building, and maintaining complex data systems, and their expertise in tools like SQL, Python, and cloud platforms remains critical for managing data workflows effectively.

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 popular job titles related to Remote Data Engineering jobs in Fishers, IN? For Remote Data Engineering jobs in Fishers, IN, the most frequently searched job titles are:
What cities near Fishers, IN are hiring for Remote Data Engineering jobs? Cities near Fishers, IN with the most Remote Data Engineering job openings:
Remote Data Engineering jobs near you
Infographic showing various Remote Data Engineering job openings in Fishers, IN as of July 2026, with employment types broken down into 70% Full Time, 8% Part Time, 5% Temporary, and 17% Contract. Highlights an 100% Remote job distribution, with an average salary of $121,415 per year, or $58.4 per hour.
Data Platform Engineer

Data Platform Engineer

Renaissance Life and Health Insurance Company of America

Indianapolis, IN • Remote

$95K - $105K/yr

Full-time

Posted 6 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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