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Remote Data Platform Engineer Jobs in Chicago, IL

Data Engineer

Chicago, IL ยท Remote

$117K - $140K/yr

We are K1x. Our platform powers the first fully digital K-1, transforming how alternative ... Fully Remote Opportunity * Healthcare Benefits and 401K * Growing Startup Culture

Establish reusable data engineering patterns, orchestration standards, and platform best practices. * Drive reliability, observability, performance optimization, and cost efficiency of data pipelines ...

Sr. Data Engineer

Chicago, IL ยท On-site +1

$109K - $148K/yr

... data platform that powers our analytics, trading tools, and AI initiatives. This role is remote ... As a Sr. Data Engineer, your primary responsibility is to stay one step ahead of your fellow team ...

Data Quality Engineer

Downers Grove, IL ยท Remote

$114K - $137K/yr

... Remote-OH, Remote-PA, Remote-RI, Remote-VA Details Kemper is one of the nation's leading ... and platforms, implementing automated testing strategies throughout the data lifecycle, and ...

Data Quality Engineer

Chicago, IL ยท Remote

$118K - $141K/yr

... Remote-OH, Remote-PA, Remote-RI, Remote-VA Details Kemper is one of the nation's leading ... and platforms, implementing automated testing strategies throughout the data lifecycle, and ...

Lead Data Engineer

Chicago, IL ยท On-site +1

$140K - $180K/yr

Lead Data Engineer Firm Overview Hinshaw & Culbertson LLP is a national law firm with more than 500 ... Cloud Data Platform Management: Lead the implementation and operation of Microsoft Azure-based data ...

Showing results 21-40

Remote Data Platform Engineer information

See Chicago, IL salary details

$45.8K

$133.6K

$182.9K

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

As of Aug 20, 2026, the average yearly pay for remote data platform engineer in Chicago, IL is $133,627.00, according to ZipRecruiter salary data. Most workers in this role earn between $118,000.00 and $141,600.00 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 the most commonly searched types of Data Platform Engineer jobs in Chicago, IL?

The most popular types of Data Platform Engineer jobs in Chicago, IL are:

What are popular job titles related to Remote Data Platform Engineer jobs in Chicago, IL?

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

What job categories do people searching Remote Data Platform Engineer jobs in Chicago, IL look for?

The top searched job categories for Remote Data Platform Engineer jobs in Chicago, IL are:

What cities near Chicago, IL are hiring for Remote Data Platform Engineer jobs?

Cities near Chicago, IL with the most Remote Data Platform Engineer job openings:

Infographic showing various Remote Data Platform Engineer job openings in Chicago, IL as of August 2026, with employment types broken down into 73% Full Time, 16% Part Time, and 11% Contract. Highlights an 100% Remote job distribution, with an average salary of $133,627 per year, or $64.2 per hour.

Data Engineer

K1X

Chicago, IL โ€ข 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