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Remote Data Engineering Jobs in Indiana (NOW HIRING)

K1X

Data Engineer

Indianapolis, IN · On-site +1

$109K - $131K/yr

  • Medical

  • Retirement

  • PTO

This role sits at the intersection of Product Engineering, Data, and Machine Learning. You will be ... Fully Remote Opportunity * Healthcare Benefits and 401K * Growing Startup Culture

K1X

Data Engineer

Indianapolis, IN · On-site +1

$109K - $131K/yr

  • Medical

  • Retirement

  • PTO

This role sits at the intersection of Product Engineering, Data, and Machine Learning. You will be ... Fully Remote Opportunity * Healthcare Benefits and 401K * Growing Startup Culture

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 ...

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 ...

Kemper

SVP, Chief Technology Officer (CTO)

Indianapolis, IN · On-site +1

  • Medical

  • Dental

  • Vision

  • Retirement

  • PTO

... IL, Remote-MI, Remote-NJ, St. Louis, Missouri Details Kemper is one of the nation's leading ... Enterprise Data Engineering * Artificial Intelligence & Intelligent Automation * Enterprise ...

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 ...

GMV

Data Engineer

New Albany, IN · On-site +1

$105K - $127K/yr

We are an engineering and innovation company working in different areas. Within the IT sector we have reinvented the future of data, integrating the most advanced techniques in artificial ...

SAIC

Data Analyst

Bedford, IN · Remote

None Potential for Remote Work: ORA_ON_SITE Description We are seeking a highly skilled and ... Collaborate with government data stewards, data engineers, and IT personnel to ensure data ...

CSAA

  • Retirement

Job Title Senior Data Science Consultant, Insurance - Remote Requisition Number R7828 Senior Data ... programming, along with the ability to translate complex findings into clear business ...

Harris

  • Medical

  • Dental

  • Vision

  • Retirement

  • PTO

Configure and manage map services and data publishing workflows to ensure timely and accurate data ... engineering role. * Strong proficiency in core GIS principles, including coordinate systems ...

Huntington

MLOps Automation Senior Lead Engineer

Indianapolis, IN · On-site +1

$93K - $189K/yr

  • Medical

  • Life

  • Retirement

  • PTO

Collaborate closely with product development, architecture, data engineering and testing teams to ... Remote roles will also have the opportunity to come together in our offices for moments that matter.

Huntington

MLOps Automation Senior Lead Engineer

Indianapolis, IN · On-site +1

$99K - $130K/yr

  • Medical

  • Life

  • Retirement

  • PTO

Collaborate closely with product development, architecture, data engineering and testing teams to ... Remote roles will also have the opportunity to come together in our offices for moments that matter.

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Showing results 1-20

All JobsData Engineering JobsRemote Data Engineering JobsRemote Data Engineering Jobs in Indiana

Remote Data Engineering information

See Indiana salary details

$42.3K

$123.4K

$168.9K

How much do remote data engineering jobs pay per year?

As of Aug 19, 2026, the average yearly pay for remote data engineering 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 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 Indiana?

The most popular types of Data Engineering jobs in Indiana are:

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

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

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

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

What cities in Indiana are hiring for Remote Data Engineering jobs?

Cities in Indiana with the most Remote Data Engineering job openings:

Remote Data Engineering jobs near you
Infographic showing various Remote Data Engineering job openings in Indiana as of August 2026, with employment types broken down into 83% Full Time, 6% Part Time, and 11% Contract. Highlights an 100% Remote job distribution, with an average salary of $123,433 per year, or $59.3 per hour.

Data Engineer

K1X

Indianapolis, IN • On-site, Remote

$109K - $131K/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

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