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Data Jobs in Bolingbrook, IL (NOW HIRING)

SCIGON

Data Architect

Naperville, IL · On-site

$140 - $190/hr

As a Data Architect , you will play a critical role in defining and executing the organization's data architecture strategy. You will ensure data platforms, systems, and frameworks are designed for ...

Digital Links Inc

Data Architect

Naperville, IL · On-site

$63.75 - $82/hr

Data Architect - Wealth Management Location: Naperville, IL (Hybrid - Onsite Client Office) Duration: 6+ Months Contract with a possibility of Extension Job Summary Join a collaborative Data ...

Reyes Holdings

Data Scientist

Rosemont, IL · On-site

Apply a variety of methods including data mining, statistical analysis, predictive modeling and analysis, correlation analysis, probability analysis, and network analysis to solve business problems

West Monroe

Data Architect

Chicago, IL · On-site

$65.75 - $84.50/hr

As a Data Architect at West Monroe, you will lead the design, implementation, and optimization of data solutions that empower our clients to make data-driven decisions. You will play a critical role ...

MaximaTek

Data Analyst

Chicago, IL · On-site

Data Analyst We are seeking a detail-oriented Data Analyst to turn raw data into actionable insights, build interactive dashboards, and support data-driven decision-making across cross-functional ...

Novocure

Data Architect

Chicago, IL

$66 - $85/hr

Data Architect Hybrid / Full Time / Wayne, PA or Portsmouth, NH At Novocure, we're working to extend the lives of patients battling some of the most aggressive cancers. Every role here contributes to ...

Reyes Holdings

Data Scientist

Rosemont, IL

Apply a variety of methods including data mining, statistical analysis, predictive modeling and analysis, correlation analysis, probability analysis, and network analysis to solve business problems

247Hire

Data Analyst

Chicago, IL · Remote

$54/hr

Master Data Management * Implementing new processes * Topics that need to be reestablished * Automation * Data automation * Process automation * App creation (Microsoft power flows) * Data Platform

Flyt

Data Analyst

Chicago, IL · On-site

$70 - $90/hr

Data Analyst - Chicago We are looking for a Data Analyst to join our team in Chicago. The Data Analyst will be responsible for interpreting data, analyzing results, and providing ongoing reports to ...

Socket.dev

Data Architect

Chicago, IL · On-site

$160 - $206/hr

As a Data Architect at West Monroe, you will lead the design, implementation, and optimization of data solutions that empower our clients to make data-driven decisions. You will play a critical role ...

Allcon, Inc.

Data Analyst

Chicago, IL

MUST HAVE: * 5+ years experience in Data Analysis * 3+ years experience with Hadoop * 3+ years experience Data modeling * 3+ years data warehousing * 3+ years Business Analyst experience * In-depth ...

Safer Foundation

Data Analyst

Chicago, IL · On-site

The Data Analyst will support program leadership, clinical staff, behavioral health navigators, and grant partners by developing practical data collection tools, maintaining accurate program records ...

M & D Mechanical Contractors

Data Processor

Chicago, IL · On-site

Data Processor M & D Mechanical Contractors is seeking a highly organized and detail-oriented Data Processor to join our team in Chicago, IL. As a full-time employee, you will work 40 hours per week ...

Ulta Beauty, Inc.

Data Scientist

Bolingbrook, IL

$102K - $130K/yr

This Data Scientist is an integral part of the Data Science and Machine Learning practice within our Enterprise AI team at Ulta Beauty. This team utilizes the power of data science and machine ...

Reyes Holdings

Data Scientist

Rosemont, IL · On-site

$99K - $124K/yr

Apply a variety of methods including data mining, statistical analysis, predictive modeling and analysis, correlation analysis, probability analysis, and network analysis to solve business problems

Dlapiper

Data Scientist

Chicago, IL · On-site +1

Designs data modeling processes to create algorithms and predictive models. Performs custom analysis. Uses modelling to drive business results with data-based insights and tests the effectiveness of ...

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Showing results 41-60

All JobsData JobsData Jobs in Bolingbrook, IL

Data information

See Bolingbrook, IL salary details

$45.5K

$163.2K

$240.8K

How much do data jobs pay per year?

As of Aug 25, 2026, the average yearly pay for data in Bolingbrook, IL is $163,178.00, according to ZipRecruiter salary data. Most workers in this role earn between $132,000.00 and $168,100.00 per year, depending on experience, location, and employer.

What are different jobs that work with data?

Many different jobs require you to work with data. Occupational health and safety engineers, for instance, assess safety data collected by technicians and specialists and then design new processes to mitigate observed risks. Many careers in medical research, such as running clinical trials or developing new pharmaceuticals, require data collection and analysis. A large number of government labor and economic forecasting positions employ statisticians who analyze and model data based on surveys or raw information, such as the census or employment records.

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

To thrive as a Data Analyst, you need strong analytical skills, proficiency in statistics, and a solid foundation in mathematics, typically supported by a degree in a quantitative field. Familiarity with data analysis tools like Excel, SQL, Python, and visualization platforms such as Tableau or Power BI is often required, and certifications in these tools can be advantageous. Attention to detail, critical thinking, and effective communication skills help analysts interpret data accurately and present actionable insights to stakeholders. These skills are crucial for transforming raw data into meaningful information that drives informed business decisions.

How does a data analyst typically collaborate with other departments within an organization?

Data Analysts frequently work cross-functionally, partnering with teams such as marketing, finance, operations, and product development. They gather requirements from stakeholders, interpret data to provide actionable insights, and often present findings in meetings or reports tailored to the audience's needs. Effective communication is key, as analysts must translate complex data into clear, impactful recommendations that guide business decisions. This collaborative environment fosters both learning and professional growth, as Data Analysts gain exposure to various business functions.

What is the difference between Data vs Data Analyst?

AspectDataData Analyst
Required CredentialsTypically a degree in computer science, information technology, or related fieldsSame as Data, often requiring a degree in statistics, data science, or related areas
Work EnvironmentData professionals work in IT, data engineering, or database management settingsData analysts work in business, finance, marketing, and similar industries analyzing data for insights
Employer & Industry UsageUsed across tech, finance, healthcare, and more for data management and infrastructureCommonly employed in business sectors to interpret data and support decision-making

Data professionals focus on managing, storing, and processing data, while Data Analysts interpret and analyze data to generate insights. Both roles require similar educational backgrounds but differ in their primary functions within organizations.

What are careers in data?

Careers in data include roles such as data analyst, data scientist, data engineer, and database administrator. These jobs involve collecting, analyzing, and managing data using tools like SQL, Python, and data visualization software, often requiring strong analytical skills and knowledge of data management principles.

What data jobs are there?

Data jobs include roles such as data analyst, data scientist, data engineer, and database administrator. These positions typically require skills in programming, statistics, and data management tools like SQL, Python, or R, and may involve working with large datasets, data visualization, and machine learning techniques.
More about Data jobs

What are the most commonly searched types of Data jobs in Bolingbrook, IL?

The most popular types of Data jobs in Bolingbrook, IL are:

What are popular job titles related to Data jobs in Bolingbrook, IL?

For Data jobs in Bolingbrook, IL, the most frequently searched job titles are:

What job categories do people searching Data jobs in Bolingbrook, IL look for?

The top searched job categories for Data jobs in Bolingbrook, IL are:

What cities near Bolingbrook, IL are hiring for Data jobs?

Cities near Bolingbrook, IL with the most Data job openings:

Data jobs near you
Infographic showing various Data job openings in Bolingbrook, IL as of August 2026, with employment types broken down into 1% As Needed, 80% Full Time, 14% Part Time, and 5% Contract. Highlights an 85% Physical, 4% Hybrid, and 11% Remote job distribution, with an average salary of $163,178 per year, or $78.5 per hour.

Data Architect

Naperville, IL • On-site

SCIGON
IT Services • 51 - 200 employees
Learn more about SCIGONexternal

$140 - $190/hr

Other

Posted 18 days ago

Job description

As aData Architect, you will play a critical role in defining and executing the organization's data architecture strategy. You will ensure data platforms, systems, and frameworks are designed for scalability, performance, security, and business value. This role serves as the primary authority on data architecture, data modeling, warehousing, governance, and analytics, helping drive modernization initiatives and enabling data-driven decision-making across the enterprise.

This position combines strategic leadership with deep technical expertise, ensuring technology investments align with organizational goals and deliver measurable business outcomes.

Responsibilities
  • Define and maintain the enterprise data architecture strategy, ensuring alignment between business objectives and technical data solutions.
  • Serve as the principal architect for enterprise data platforms, with a strong focus on cloud-based data services, ETL/ELT processes, and distributed data architectures.
  • Partner closely with engineering, product, and business teams to design scalable data warehouses, data lakes, and high-performance database systems.
  • Establish standards for data modeling, metadata management, master data management, and data exchange to ensure consistency across platforms.
  • Lead data modernization initiatives, including migration from legacy systems to modern cloud-native data architectures.
  • Collaborate with DevOps and platform teams to improve data pipeline automation, monitoring, observability, and deployment processes.
  • Provide architectural leadership for high-volume transactional and analytical data systems.
  • Partner with security and compliance teams to ensure data privacy, governance, encryption, resiliency, and regulatory adherence across the technology landscape.
  • Lead architecture and design reviews, mentor data engineers and architects, and promote best practices in modern data engineering.
  • Support technology and business leadership in defining data roadmaps, evaluating emerging technologies, and evolving data capabilities to meet changing business needs.
  • Drive enterprise-wide data governance initiatives and establish standards for data quality, consistency, and lifecycle management.
Required Skills and Experience
  • Proven experience designing, implementing, and maintaining large-scale cloud-based data architectures.
  • Deep expertise in modern cloud data platforms and services, including data warehouses, data lakes, distributed storage, and analytics platforms.
  • Strong experience with data modeling methodologies, including entity relationship modeling and dimensional modeling.
  • Extensive knowledge of ETL/ELT design, data integration, transformation frameworks, and pipeline orchestration.
  • Hands-on experience with programming and scripting languages commonly used for data processing, such as Python, SQL, Java, or similar technologies.
  • Strong understanding of both relational and NoSQL database platforms.
  • Experience optimizing database performance, scalability, reliability, and data quality processes.
  • Excellent analytical, problem-solving, and communication skills, with the ability to bridge technical and business priorities.
  • Ability to think strategically while remaining hands-on in architecture and implementation activities.
  • Experience designing and managing enterprise data warehouses, data lakes, and analytics environments.
  • Familiarity with data integration standards and electronic data exchange processes.
  • Experience with business intelligence, reporting, and data visualization platforms.
Technology Environment

Experience with technologies similar to the following is preferred:

  • Cloud platforms (AWS, Azure, GCP, or equivalent)
  • Containerized and serverless architectures
  • Infrastructure-as-Code tools
Data & Analytics
  • Relational databases
  • NoSQL databases
  • Data warehouses and data lakes
  • Data visualization and business intelligence tools
Development
  • Java, Python, TypeScript, or similar programming languages
  • Modern application frameworks and services
Integration
  • REST APIs
  • JSON and other data interchange formats
  • Authentication and identity management solutions
DevOps & Automation
  • Source control platforms
  • Infrastructure automation and monitoring tools
Project Delivery
  • Collaboration and project management platforms
Preferred Qualifications
  • Experience establishing enterprise data governance frameworks and standards across multiple business functions.
  • Exposure to big data platforms, streaming architectures, event-driven systems, and messaging technologies.
  • Familiarity with data security, privacy, and regulatory compliance requirements.
  • Knowledge of real-time analytics and large-scale data processing environments.
  • Experience mentoring technical teams and influencing architectural decisions across organizations.
  • Industry experience in financial services, payments, healthcare, retail, loyalty, customer engagement, or other data-intensive sectors is a plus.
  • Ability to design and implement scalable, secure, and resilient enterprise data architectures.
  • Deep understanding of modern data engineering, database technologies, analytics platforms, and cloud ecosystems.
  • Strong leadership capabilities with experience guiding architecture initiatives and establishing best practices.
  • Excellent stakeholder management and communication skills across technical and non-technical audiences.
  • Strategic mindset with the ability to balance long-term architecture goals and near-term business needs.
  • Proven ability to solve complex data challenges and drive modernization and transformation initiatives.
  • Commitment to data quality, governance, security, and operational excellence.
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