2

Remote Civil Engineering Data Analyst Jobs in Naperville, IL

Data Engineer

Chicago, IL · On-site +1

$118K - $141K/yr

... toward deeper analytics, insights, and AI-driven capabilities, data engineering is becoming a ... Fully Remote Opportunity * Healthcare Benefits and 401K * Growing Startup Culture

HBK Engineering, LLC is a fully licensed, professional engineering design firm headquartered in ... Analyze information from topographical surveys, utility atlas information, field sketches, client ...

Product Data Analyst

Chicago, IL · Remote

$145K - $175K/yr

Our data engineering team owns the pipelines; you'll focus on the analysis, the recommendation, and ... Experience building metrics frameworks or KPI hierarchies from scratch How we work Fully remote ...

This is a remote, flexible role for candidates who are analytical, commercially curious, and ... Analyze data, documents, websites, interviews, and public information to form concise ...

Data Quality Engineer

Chicago, IL · Remote

$118K - $141K/yr

... Remote-OH, Remote-PA, Remote-RI, Remote-VA Details Kemper is one of the nation's leading ... As a senior member of the data engineering team, you will be responsible for developing scalable ...

Data Quality Engineer

Downers Grove, IL · Remote

$114K - $137K/yr

... Remote-OH, Remote-PA, Remote-RI, Remote-VA Details Kemper is one of the nation's leading ... As a senior member of the data engineering team, you will be responsible for developing scalable ...

Louis, MO; or Springfield, IL, as will fully remote scenarios. Position Profile This person is ... A bachelor's degree in civil engineering or related field is required. * 10 or more years of ...

Showing results 41-60

Remote Civil Engineering Data Analyst information

See Naperville, IL salary details

$33.9K

$82.5K

$135.8K

How much do remote civil engineering data analyst jobs pay per year?

As of Aug 21, 2026, the average yearly pay for remote civil engineering data analyst in Naperville, IL is $82,517.00, according to ZipRecruiter salary data. Most workers in this role earn between $62,400.00 and $96,900.00 per year, depending on experience, location, and employer.

What does a remote civil engineering data analyst do?

A Remote Civil Engineering Data Analyst is responsible for collecting, processing, and interpreting data related to civil engineering projects from a remote location. They work with data sets involving construction, infrastructure, transportation, and environmental systems to help engineers make data-driven decisions. Their tasks often include data visualization, statistical analysis, and reporting findings to project teams. By working remotely, they leverage digital tools and cloud-based platforms to collaborate and deliver insights efficiently.

What are the key skills and qualifications needed to thrive as a remote civil engineering data analyst?

To thrive as a Remote Civil Engineering Data Analyst, you need a solid background in civil engineering principles, data analysis, and a relevant degree such as a BS in Civil Engineering or Data Science. Familiarity with technical tools like AutoCAD, GIS software, SQL databases, and data visualization platforms is typically required. Strong problem-solving abilities, attention to detail, and effective communication are standout soft skills in this role. These competencies enable accurate analysis and interpretation of engineering data, supporting sound decision-making for remote project teams.

How does a remote civil engineering data analyst collaborate effectively with on-site engineering teams?

As a Remote Civil Engineering Data Analyst, you’ll frequently interact with on-site engineers and project managers through digital collaboration tools. Effective communication is key—regular video meetings, shared project management platforms, and clear documentation help bridge the distance. You may also be responsible for translating complex data insights into actionable recommendations for field teams. Building strong virtual relationships and staying proactive in your communication ensures that your analyses directly support project goals and that any data-driven changes are smoothly implemented on-site.

What is the difference between Remote Civil Engineering Data Analyst vs Remote Civil Engineering Technician?

AspectRemote Civil Engineering Data AnalystRemote Civil Engineering Technician
Required CredentialsBachelor's in Civil Engineering, Data Analysis or related field; proficiency in data toolsAssociate's or Bachelor's in Civil Engineering or related field; technical skills in surveying and construction
Work EnvironmentPrimarily remote, analyzing data, creating reports, supporting project decisionsRemote or on-site, assisting with surveys, inspections, and technical tasks
Employer & Industry UsageEngineering firms, consulting agencies, government agenciesConstruction companies, engineering firms, public works departments

The main difference is that Remote Civil Engineering Data Analysts focus on analyzing civil engineering data remotely to support projects, while Remote Civil Engineering Technicians handle technical field tasks and inspections, often requiring more hands-on work. Both roles may be remote but serve different functions within civil engineering projects.

What are popular job titles related to Remote Civil Engineering Data Analyst jobs in Naperville, IL?

For Remote Civil Engineering Data Analyst jobs in Naperville, IL, the most frequently searched job titles are:

What job categories do people searching Remote Civil Engineering Data Analyst jobs in Naperville, IL look for?

The top searched job categories for Remote Civil Engineering Data Analyst jobs in Naperville, IL are:

What cities near Naperville, IL are hiring for Remote Civil Engineering Data Analyst jobs?

Cities near Naperville, IL with the most Remote Civil Engineering Data Analyst job openings:

Infographic showing various Remote Civil Engineering Data Analyst job openings in Naperville, IL as of August 2026, with employment types broken down into 1% As Needed, 83% Full Time, 13% Part Time, and 3% Contract. Highlights an 87% Physical, 4% Hybrid, and 9% Remote job distribution, with an average salary of $82,517 per year, or $39.7 per hour.

Data Engineer

K1X

Chicago, IL • On-site, Remote

$118K - $141K/yr

Full-time

Medical, Retirement, PTO

Posted 11 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