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Remote Data Engineering Jobs in Indiana (NOW HIRING)

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 · On-site +1

$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 · On-site +1

$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 required. * 8+ ...

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 required. * 8+ ...

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 required. * 8+ ...

Deckers

United States (Remote) Interested applicants must reside in one of the following approved states ... Partner with platform and engineering teams to implement governance capabilities into core data ...

A.C. Coy

Sr. Java Developer (Remote)

Indianapolis, IN · Remote

$54.75 - $69.75/hr

A degree from an accredited College/University in Software Engineering, Computer Science, Business ... Hands-on experience with Spring Boot, Spring MVC, and Spring Data. * Experience developing ...

A.C. Coy

Sr. Java Developer (Remote)

Indianapolis, IN · Remote

$54.75 - $69.75/hr

A degree from an accredited College/University in Software Engineering, Computer Science, Business ... Hands-on experience with Spring Boot, Spring MVC, and Spring Data. * Experience developing ...

A.C. Coy

Sr. Java Developer (Remote)

Indianapolis, IN · On-site +1

$54.75 - $69.75/hr

A degree from an accredited College/University in Software Engineering, Computer Science, Business ... Hands-on experience with Spring Boot, Spring MVC, and Spring Data. * Experience developing ...

Imh

$14.50 - $18.75/hr

This position is on-site and is not eligible for hybrid or remote work. Schedule: The position ... Supports data collection, technical documentation, process improvement, validation, and quality ...

micro1 AI

Domain Expert - (STEM PhD)

Indianapolis, IN · Remote

$80 - $90/hr

Remote micro1 is engaging PhD-level Engineers in Electrical, Mechanical, or Chemical disciplines to ... Analyze data and interpret results to inform AI training datasets with precision * Apply ...

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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 Jul 9, 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.

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 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 July 2026, with employment types broken down into 72% Full Time, 17% 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.
LLM Alignment Specialist - Engineering

LLM Alignment Specialist - Engineering

micro1 AI

Indianapolis, IN • Remote

$80 - $90/hr

Part-time

Posted 15 days ago

Job description

Role Title: PhD Engineer (Electrical, Mechanical, Chemical)


Role Type: Contractor


Location: Remote


micro1 is engaging PhD-level Engineers in Electrical, Mechanical, or Chemical disciplines to contribute to a high-impact customer project. In this role, you'll apply your expertise to help train next-generation AI systems. Your work will shape how models learn, reason, and perform through high-quality, real-world input. No prior experience in AI is required — your domain knowledge is what matters.


Scope of Work

  1. Deliver authoritative written responses to complex engineering prompts in your area of expertise
  2. Review and interpret scientific literature to provide contextually accurate and current insights
  3. Design and document realistic experimental scenarios based on advanced engineering principles
  4. Analyze data and interpret results to inform AI training datasets with precision
  5. Apply sophisticated calculus and quantitative methodologies to problem-solving tasks
  6. Ensure clarity, accuracy, and completeness of all submitted materials based on provided guidelines
  7. Collaborate with project coordinators to refine prompt response quality as needed


Preferred Qualifications

  1. PhD in Electrical, Mechanical, or Chemical Engineering
  2. Demonstrated expertise in calculus, data analysis, research methodology, and experimental design
  3. Exceptional written and verbal communication skills with the ability to convey complex concepts clearly
  4. Strong literature review capabilities and familiarity with synthesizing scientific knowledge
  5. Experience with or interest in AI, machine learning, or technology-driven projects (a plus, not required)
  6. Proven ability to produce "golden response" level deliverables with accuracy and completeness
  7. Detail-oriented mindset and commitment to high-quality, impactful contributions

Apply