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

K1X

Data Engineer

Indianapolis, IN · Remote

$117K - $140K/yr

About The Role We are seeking a Data Engineer to design, build, and maintain the data pipelines and ... Fully Remote Opportunity * Healthcare Benefits and 401K * Growing Startup Culture

K1X

Data Engineer

Indianapolis, IN · On-site +1

$109K - $131K/yr

About The Role We are seeking a Data Engineer to design, build, and maintain the data pipelines and ... Fully Remote Opportunity * Healthcare Benefits and 401K * Growing Startup Culture

K1X

Data Engineer

Indianapolis, IN · On-site +1

$109K - $131K/yr

About The Role We are seeking a Data Engineer to design, build, and maintain the data pipelines and ... Fully Remote Opportunity * Healthcare Benefits and 401K * Growing Startup Culture

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 ...

Marlabs

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 ...

Kobie Marketing

AI Engineer

Indianapolis, IN · Remote

As a remote-first organization headquartered in St. Petersburg, Florida, Kobie values meaningful in ... Partner with data engineers on Snowflake backed retrieval patterns (Cortex Analyst and Cortex ...

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 ...

A.C. Coy

Cobol/IDMS Developer (Remote)

Indianapolis, IN · On-site +1

$48 - $65/hr

This will be a 100% remote Contract-to-Hire position. * Must be a US Citizen. * SELECTED CANDIDATES ... data processing systems for product and commercial software. * Determine computer user needs ...

A.C. Coy

Cobol/IDMS Developer (Remote)

Indianapolis, IN · Remote

$48 - $65/hr

This will be a 100% remote Contract-to-Hire position. * Must be a US Citizen. * SELECTED CANDIDATES ... data processing systems for product and commercial software. * Determine computer user needs ...

Marlabs

AWS Devops Cloud Engineer (Remote)

Indianapolis, IN · Remote

$54 - $74/hr

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 ...

A.C. Coy

Cobol/IDMS Developer (Remote)

Indianapolis, IN · Remote

$48 - $65/hr

This will be a 100% remote Contract-to-Hire position. * Must be a US Citizen. * SELECTED CANDIDATES ... data processing systems for product and commercial software. * Determine computer user needs ...

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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 Aug 20, 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?

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

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

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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

K1X

Indianapolis, IN • Remote

$117K - $140K/yr

Full-time

Medical, Retirement, PTO

Posted 9 days ago

Job description

We are K1x. Our platform powers the first fully digital K-1, transforming how alternative investment tax data is extracted, validated, distributed, and analyzed. Trusted by leading institutional investors, fund administrators, and accounting firms, K1x replaces manual, error-prone workflows with scalable, intelligent software. k1x.io
As our platform evolves toward deeper analytics, insights, and AI-driven capabilities, data engineering is becoming a foundational pillar of our product and technology strategy.

About The Role

We are seeking a Data Engineer to design, build, and maintain the data pipelines and infrastructure that power K1x’s machine learning initiatives and future analytics-driven product features.
This role sits at the intersection of Product Engineering, Data, and Machine Learning. You will be responsible for creating reliable, scalable, and high-quality data systems that enable downstream ML models, reporting, and embedded analytics.

What You’ll Do

- Design, build, and maintain scalable data architectures supporting operational, analytical, and ML workloads.
- Contribute to the evolution of K1x’s data lakehouse strategy, including adoption of Snowflake.
- Develop and maintain robust ETL/ELT pipelines for large-scale data processing.
- Implement data quality checks, validation, and monitoring.
- Enable machine learning workflows with clean, well-structured datasets.
- Support analytics and reporting use cases including Power BI.
- Partner with Product, Engineering, and AI teams on data solutions.

Requirements

Who You Are

- 4–8+ years of experience in data engineering or backend engineering with a data focus.
- Strong experience building data pipelines and ETL/ELT workflows.
- Proficiency with SQL and relational data modeling.
- Experience with cloud-based data platforms (Azure preferred).
- Understanding of data quality, reliability, and monitoring.
- Strong communication and collaboration skills.

It’s Truly a Match If You Have

- An engineering mindset applied to data platforms.
- Passion for building scalable, reliable data foundations.
- Interest in enabling ML and analytics-driven products.
- Experience or familiarity with Snowflake, SQL Server, Azure, and Power BI.
- Comfort balancing near-term delivery with long-term architecture.

Benefits

  • Unlimited Vacation Policy + Sick Time + Holidays
  • Paid Parental Leave
  • Fully Remote Opportunity
  • Healthcare Benefits and 401K
  • Growing Startup Culture
K1x logo

About K1x

Sourced by ZipRecruiter

Industry

Software development

Company size

11 - 50 Employees

Headquarters location

Elk Grove Village, IL, US

Year founded

2022

View All K1x Jobs