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Data Solutions Developer Jobs in Illinois (NOW HIRING)

Sr. Data Engineer

Chicago, IL · On-site

$118K - $141K/yr

The role involves designing and developing data solutions using Azure technologies, mentoring junior engineers, and collaborating with stakeholders to ensure data accuracy and integrity.

Data Engineer (Snowflake) 2

Chillicothe, IL · On-site

$103K - $124K/yr

Review data solutions for efficiency, performance, compute usage, and storage costs , particularly within Snowflake. * Manage user access and role-based permissions while supporting data governance ...

Sr. Data Engineer

Chicago, IL · On-site

$118K - $141K/yr

NAVA Software solutions is looking for a Data Engineer. Details: Sr. Data Engineer Location: Chicago, IL (Hybrid at least 2 days a week) Duration: 6-12 months Key Responsibilities and Essential ...

Data Engineer

Chicago, IL · On-site

$118K - $141K/yr

... data solutions Participate in Agile ceremonies and contribute to iterative delivery of data ... experience in data engineering, data platforms, or related roles Hands-on experience with ...

Data Architect

Chicago, IL · On-site

$65.75 - $84.50/hr

Work closely with business analysts, data scientists, and software engineers to integrate data solutions into broader business applications. * Performance Optimization: Continuously monitor and ...

GCP Data Engineer

Chicago, IL · Hybrid

$118K - $141K/yr

Design and build enterprise-scale data engineering solutions that power metadata-driven and intelligent automation capabilities. * Work hands-on with modern cloud technologies including Google Cloud ...

GCP Data Engineer

Chicago, IL · Hybrid

$100K - $151K/yr

Design and build enterprise-scale data engineering solutions that power metadata-driven and intelligent automation capabilities. * Work hands-on with modern cloud technologies including Google Cloud ...

This is a Great Opportunity because - Participant on team responsible for corporate Big Data platform and Data Engineering solution Employ a variety of languages and tools to integrate and automate ...

Data Engineer

Chicago, IL

$130K - $150K/yr

... DevOps, and security Minimum Requirements Bachelor's degree in computer science or related field 6+ years of experience in data engineering, data platform development, or cloud data solutions 3+ ...

Data Engineer

Chicago, IL · On-site

$130K - $150K/yr

Our innovative strategies and solutions securely and rapidly transform the way our clients do business. We are seeking a Data Engineer to design, build, and optimize modern data platforms for our ...

Data Engineer

Chicago, IL · On-site

$130K - $150K/yr

... DevOps, and security Minimum Requirements * Bachelor's degree in computer science or related field * 6+ years of experience in data engineering, data platform development, or cloud data solutions ...

Showing results 21-40

Data Solutions Developer information

What are the key skills and qualifications needed to thrive as a Data Solutions Developer?

To thrive as a Data Solutions Developer, you need strong programming skills (such as Python, SQL, or Java), a solid understanding of data architecture, and typically a degree in computer science or a related field. Familiarity with data warehousing tools, ETL processes, cloud platforms (like AWS or Azure), and certifications such as Microsoft Certified: Azure Data Engineer Associate are highly valued. Analytical thinking, problem-solving, and effective communication help you collaborate with stakeholders and translate business requirements into technical solutions. These skills ensure the delivery of robust, scalable data solutions that drive informed decision-making and business success.

How does a Data Solutions Developer typically collaborate with data analysts and business stakeholders?

As a Data Solutions Developer, collaboration with data analysts and business stakeholders is integral to delivering effective data-driven solutions. You will frequently engage in requirements-gathering sessions to understand business needs, translate those needs into technical specifications, and iterate on data models or pipelines based on feedback. Regular meetings and clear communication are essential to ensure the solutions you develop align with business goals and analytics objectives. Additionally, you may provide technical guidance to analysts on data access or usage and help stakeholders interpret results from the systems you build.

What is the difference between Data Solutions Developer vs Data Engineer?

AspectData Solutions DeveloperData Engineer
Primary FocusDesigning and developing data solutions and applicationsBuilding and maintaining data pipelines and infrastructure
Skills & CertificationsSQL, programming, data modeling, cloud platformsETL, database systems, cloud services, scripting
Work EnvironmentCollaborates with data analysts, developers, and business teamsWorks on data architecture, infrastructure, and backend systems
Industry UsageUsed across industries for data application developmentPrimarily in data-heavy sectors like tech, finance, and healthcare

While both roles involve working with data, Data Solutions Developers focus on creating data applications and solutions, whereas Data Engineers concentrate on building the data infrastructure and pipelines. Understanding these differences helps in choosing the right career path or job role.

What does a data solutions developer do?

A data solutions developer designs, develops, and implements data management and analytics solutions to help organizations process and interpret large datasets. They often work with programming languages like SQL, Python, or Java, and use tools such as data warehouses and ETL processes to create efficient data workflows. Their role involves collaborating with stakeholders to understand data needs and ensuring solutions are scalable and secure.

What job categories do people searching Data Solutions Developer jobs in Illinois look for?

The top searched job categories for Data Solutions Developer jobs in Illinois are:

What cities in Illinois are hiring for Data Solutions Developer jobs?

Cities in Illinois with the most Data Solutions Developer job openings:

Infographic showing various Data Solutions Developer job openings in Illinois as of August 2026, with employment types broken down into 84% Full Time, 10% Part Time, and 6% Contract. Highlights an 86% Physical, 4% Hybrid, and 10% Remote job distribution.

Manager, Data Scientist, Data Solutions and Modeling

Capital One

Riverwoods, IL

Full-time

Posted 11 days ago


Capital One rating

7.8

Company rating: 7.8 out of 10

Based on 148 frontline employees who took The Breakroom Quiz

89th of 174 rated banks


Job description

Manager, Data Scientist, Data Solutions and Modeling

Data is at the center of everything we do. As a startup, we disrupted the credit card industry by individually personalizing every credit card offer using statistical modeling and the relational database, cutting edge technology in 1988! Fast-forward a few years, and this little innovation and our passion for data has skyrocketed us to a Fortune 200 company and a leader in the world of data-driven decision-making.

As a Data Scientist at Capital One, you'll be part of a team that's leading the next wave of disruption at a whole new scale, using the latest in computing and machine learning technologies and operating across billions of customer records to unlock the big opportunities that help everyday people save money, time and agony in their financial lives.

The Data Solutions and Model team builds the machine learning and AI agents that help our customers in the Global Payment Network. We create models and AI tools to support fraud/risk, merchant acceptance, merchant intelligence and monitoring.

In this role, you will:

  • Partner with a cross-functional team of data scientists, software engineers, and product managers to deliver a product customers love

  • Leverage a broad stack of technologies - Python, Conda, AWS, H2O, Spark, and more - to reveal the insights hidden within huge volumes of numeric and textual data

  • Build machine learning models through all phases of development, from design through training, evaluation, validation, and implementation

  • Flex your interpersonal skills to translate the complexity of your work into tangible business goals

The Ideal Candidate is:

  • Innovative. You continually research and evaluate emerging technologies. You stay current on published state-of-the-art methods, technologies, and applications and seek out opportunities to apply them.

  • Creative. You thrive on bringing definition to big, undefined problems. You love asking questions and pushing hard to find answers. You're not afraid to share a new idea.

  • A leader. You challenge conventional thinking and work with stakeholders to identify and improve the status quo. You're passionate about talent development for your own team and beyond.

  • Technical. You're comfortable with open-source languages and are passionate about developing further. You have hands-on experience developing data science solutions using open-source tools and cloud computing platforms.

Basic Qualifications:

  • Currently has, or is in the process of obtaining one of the following with an expectation that the required degree will be obtained on or before the scheduled start date:

    • A Bachelor's Degree in a quantitative field (Statistics, Economics, Operations Research, Analytics, Mathematics, Computer Science, or a related quantitative field) plus 6 years of experience performing data analytics

    • A Master's Degree in a quantitative field (Statistics, Economics, Operations Research, Analytics, Mathematics, Computer Science, or a related quantitative field) or an MBA with a quantitative concentration plus 4 years of experience performing data analytics

    • A PhD in a quantitative field (Statistics, Economics, Operations Research, Analytics, Mathematics, Computer Science, or a related quantitative field) plus 1 year of experience performing data analytics

  • At least 1 year of experience leveraging open source programming languages for large scale data analysis

  • At least 1 year of experience working with machine learning

  • At least 1 year of experience utilizing relational databases

Preferred Qualifications:

  • PhD in "STEM" field (Science, Technology, Engineering, or Mathematics) plus 3 years of experience in model development

  • At least 4 years' experience in Python, Scala, or R

  • At least 4 years' experience with machine learning

  • At least 4 years' experience with SQL

  • Experience with Large Language Models (LLMs), including utilizing embedding models and working with vector databases

  • Experience designing and implementing AI workflows and autonomous AI agents

Capital One will consider sponsoring a new qualified applicant for employment authorization for this position.

The minimum and maximum full-time annual salaries for this role are listed below, by location. Please note that this salary information is solely for candidates hired to perform work within one of these locations, and refers to the amount Capital One is willing to pay at the time of this posting. Salaries for part-time roles will be prorated based upon the agreed upon number of hours to be regularly worked.

Riverwoods, IL: $179,400 - $204,700 for Mgr, Data Science


Chicago, IL: $179,400 - $204,700 for Mgr, Data Science










Candidates hired to work in other locations will be subject to the pay range associated with that location, and the actual annualized salary amount offered to any candidate at the time of hire will be reflected solely in the candidate's offer letter.

This role is also eligible to earn performance based incentive compensation, which may include cash bonus(es) and/or long term incentives (LTI). Incentives could be discretionary or non discretionary depending on the plan.

Capital One offers a comprehensive, competitive, and inclusive set of health, financial and other benefits that support your total well-being. Learn more at theCapital One Careers website. Eligibility varies based on full or part-time status, exempt or non-exempt status, and management level.

This role is expected to accept applications for a minimum of 5 business days.No agencies please. Capital One is an equal opportunity employer (EOE, including disability/vet) committed to non-discrimination in compliance with applicable federal, state, and local laws. Capital One promotes a drug-free workplace. Capital One will consider for employment qualified applicants with a criminal history in a manner consistent with the requirements of applicable laws regarding criminal background inquiries, including, to the extent applicable, Article 23-A of the New York Correction Law; San Francisco, California Police Code Article 49, Sections 4901-4920; New York City's Fair Chance Act; Philadelphia's Fair Criminal Records Screening Act; and other applicable federal, state, and local laws and regulations regarding criminal background inquiries.

If you have visited our website in search of information on employment opportunities or to apply for a position, and you require an accommodation, please contact Capital One Recruiting at 1-800-304-9102 or via email at RecruitingAccommodation@capitalone.com. All information you provide will be kept confidential and will be used only to the extent required to provide needed reasonable accommodations.

For technical support or questions about Capital One's recruiting process, please send an email to Careers@capitalone.com

Capital One does not provide, endorse nor guarantee and is not liable for third-party products, services, educational tools or other information available through this site.

Capital One Financial is made up of several different entities. Please note that any position posted in Canada is for Capital One Canada, any position posted in the United Kingdom is for Capital One Europe and any position posted in the Philippines is for Capital One Philippines Service Corp. (COPSSC).


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