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Data Engineer Jobs in Moline, IL (NOW HIRING)

Background in all aspects of software engineering with strong skills in parallel data processing, data flows, REST APIs, JSON, XML, and micro service architecture. * Must have strong programming ...

Background in all aspects of software engineering with strong skills in parallel data processing, data flows, REST APIs, JSON, XML, and micro service architecture. * Must have strong programming ...

Manufacturing Engineer

Milan, IL · On-site

$40 - $42/hr

Manufacturing Engineer Client: Heavy Machine Manufacturing Company Duration: 1 Year 9 Months ... Support data collection and review for physical warehouse layouts * Verify legacy warehouse ...

Data Entry/Clerk

Davenport, IA · On-site

$16.25 - $21.50/hr

Data Entry/Clerk vTech can help you avoid the daunting task of writing and posting job offers ... Engineering, professional, Scientific & Clinical, etc. for both our commercial and government ...

Product Design Engineer

Moline, IL · On-site

$32 - $34/hr

Extract and organize engineering data using spreadsheets and standard formats. * Respond to routine engineering and technical inquiries following established procedures. * Ensure compliance with ...

Product Design Engineer

Moline, IL · On-site

$119K - $143K/yr

Extract and organize engineering data using spreadsheets and standard formats. Respond to routine engineering and technical inquiries following established procedures. Ensure compliance with company ...

Compile and furnish necessary information (engineering decisions and reports of pertinent design analyses data) to document the design solution required for building of prototypes and adoption of the ...

Showing results 21-40

Data Engineer information

See Moline, IL salary details

$40.2K

$117.2K

$160.3K

How much do data engineer jobs pay per year?

As of Aug 12, 2026, the average yearly pay for data engineer in Moline, IL is $117,178.00, according to ZipRecruiter salary data. Most workers in this role earn between $103,400.00 and $124,200.00 per year, depending on experience, location, and employer.

What is the difference between Data Engineer vs Data Scientist?

AspectData EngineerData Scientist
Primary FocusBuilding and maintaining data pipelines and infrastructureAnalyzing data to extract insights and create models
SkillsSQL, ETL, programming (Python, Java), database managementStatistics, machine learning, data analysis, programming (Python, R)
Work EnvironmentData warehouses, cloud platforms, backend systemsData analysis environments, research labs, visualization tools
Common ToolsApache Spark, Hadoop, Airflow, SQLJupyter, RStudio, Tableau, scikit-learn

Data Engineers focus on creating and maintaining the infrastructure that allows data to be collected, stored, and processed efficiently. Data Scientists analyze this data to generate insights, build predictive models, and support decision-making. While their skills overlap, Data Engineers are more involved in data pipeline development, whereas Data Scientists focus on data analysis and modeling.

What are the key skills and qualifications needed to thrive as a data engineer, and why are they important?

To thrive as a Data Engineer, you need a strong background in computer science, data modeling, and programming languages such as Python or Java, often coupled with a relevant degree. Familiarity with ETL tools, big data frameworks (like Hadoop or Spark), and cloud platforms (such as AWS or Azure) is typically required, along with certifications like AWS Certified Data Analytics. Strong problem-solving skills, attention to detail, and effective communication set exceptional data engineers apart. These skills and qualities are essential for building robust data pipelines, ensuring data quality, and supporting data-driven decision-making across organizations.

What does a data engineer do?

The job duties of a data engineer involve helping with the development of systems, software, and infrastructure used to process, store and analyze data. Your responsibilities in this career include working to install data management software. Your employer may expect you to perform maintenance and install updates to all software and systems that they use for data acquisition, management, and analysis. Data engineers also analyze existing data systems to find ways to improve efficiency and accessibility. You then suggest upgrades or changes based on your assessment.

What is a data engineer?

Data Engineers are IT professionals who design, construct, install, and maintain large-scale processing systems and other infrastructure for collecting, storing, and analyzing data. They build and optimize data pipelines and architectures that allow organizations to efficiently access and use data for business insights. Data Engineers work closely with data scientists, analysts, and other stakeholders to ensure that data is reliable, accessible, and secure. Their responsibilities often include working with databases, cloud platforms, and big data tools.

How do data engineers typically collaborate with data scientists and analysts within an organization?

Data Engineers play a crucial role in ensuring that Data Scientists and Analysts have reliable, well-structured data for their projects. This collaboration often involves building and maintaining data pipelines, optimizing data storage solutions, and troubleshooting data quality issues. Regular communication and agile teamwork are common, with Data Engineers frequently participating in meetings to understand analytical requirements and adjust data processes accordingly. By working closely together, these teams can quickly iterate on data models and deliver actionable insights to drive business decisions.

Is a data engineer entry level?

Data engineering is typically an intermediate to senior-level role that requires experience with programming, databases, and data pipelines. Entry-level positions may be available for those with relevant internships or strong foundational skills, but most data engineering roles demand several years of experience and proficiency with tools like SQL, Python, and cloud platforms.
What are the most commonly searched types of Data Engineer jobs in Moline, IL? The most popular types of Data Engineer jobs in Moline, IL are:
What job categories do people searching Data Engineer jobs in Moline, IL look for? The top searched job categories for Data Engineer jobs in Moline, IL are:
What cities near Moline, IL are hiring for Data Engineer jobs? Cities near Moline, IL with the most Data Engineer job openings:
Infographic showing various Data Engineer job openings in Moline, IL as of August 2026, with employment types broken down into 1% As Needed, 80% Full Time, 15% Part Time, and 4% Contract. Highlights an 86% Physical, 4% Hybrid, and 10% Remote job distribution, with an average salary of $117,178 per year, or $56.3 per hour.

Full-time

Re-posted 21 days ago


Element Materials Technology rating

7.3

Company rating: 7.3 out of 10

Based on 43 frontline employees who took The Breakroom Quiz

76th of 120 rated laboratories


Job description

Element has an opportunity for a Data Processor to join our rapidly expanding team. As a member of the operations team in one of the various laboratories across Element, the Data Processer position primarily responsible for assisting in designing, planning, and coordinating geotechnical instrumentation projects, scheduling control, obtaining permits for on-site installation, and setting up and commissioning monitoring.

Responsibilities

  • Propose engineering documents for clients' approval, on-site installation and hands-on monitoring of sensors, instruments, and equipment 
  • Instruct, supervise, manage, and monitor site personnel ensuring data processing, review , analysis, submission of reports 
  • Attending project meetings, schedule control, submit for permits for on-site installation, set up, and commission monitoring 
  • Assist in designing, planning, and coordinating geotechnical instrumentation projects, scheduling control, obtaining permits for on-site installation, and setting up and commissioning monitoring, providing input into health, safety, environmental and quality policies ensuring uptodate documentation 
  • Liaise and coordinate with client for installation and monitoring issues while overseeing all instrumentation works including production of method statements, project quality plan, calibration, installation, data acquisition, data verification, data processing, web database, data presentation, update of instrumentation drawings and reporting 
  • Shall be responsible for preparing all necessary reports as specified in the contract’s documents and client submission 

Skills / Qualifications

  • Working experience in geotechnical instrumentation and site investigation works 
  • Physically fit and able to withstand the challenging working conditions 
  • Strong and determined quality focus with indefatigable determination to get the job done under the most challenging conditions 
  • Self-motivated team player with excellent organisational and communication skills

What Element Materials Technology employees say

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Benefits

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