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Data Solutions Developer Jobs in Illinois (NOW HIRING)

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 ...

GCP Data Architect

Chicago, IL · On-site

$65.75 - $84.50/hr

Collaborate with data engineers, application developers, platform teams, and business stakeholders to deliver data solutions. * Support cloud-native deployment patterns using Cloud Run , Google ...

Data Engineer

Evanston, IL · On-site

$109K - $132K/yr

Develop cloud-native data solutions on AWS and/or Azure. * Implement software engineering best practices, including CI/CD, version control, automated testing, and secure development practices.

Data Engineer

Chicago, IL · On-site

$118K - $141K/yr

... solutions with minimal ramp-up time. Key Responsibilities • Design, develop, and maintain ... AI and data engineering initiatives, including integration with LLM-based solutions. • ...

GCP Data Engineer

Chicago, IL · On-site

$118K - $141K/yr

S. Role Overview We are seeking a highly skilled GCP Data Engineer to design, develop, and optimize scalable data solutions on Google Cloud Platform (GCP). The ideal candidate will have strong ...

Senior Data Engineer

Chicago, IL · On-site

$109K - $148K/yr

We believe pet insurance is more than a financial product and build solutions to simplify the pet ... Senior Data Engineer External name : Senior Data Engineer Established in 2021, Independence Pet ...

Data Engineer

Peoria, IL · On-site

$112K - $135K/yr

Build and optimize data processing solutions using Python, SQL, and Apache Spark (PySpark ... Implement CI/CD pipelines and DevOps best practices for data engineering. * Troubleshoot production ...

Data Engineer II

Chicago, IL · On-site

$117K - $141K/yr

... Engineering team ... In this role, you will help build and maintain scalable, cloud-native data solutions that power ...

Leads technology proof of concepts to ensure feasibility of architecture solutions * Displays ... and other modern engineering practices. * Data Architect with Data Product mindset building ...

Leads technology proof of concepts to ensure feasibility of architecture solutions * Displays ... and other modern engineering practices. * Data Architect with Data Product mindset building ...

Showing results 41-60

Data Solutions Developer information

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 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.

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.

Data Analytics Architect

Halo Group

Deerfield, IL • On-site

Full-time

Re-posted 18 days ago


Job description

Company Description

Halo Group is a premier provider of IT talent. We place technology experts within the teams of the world's leading companies and help clients build innovative businesses that keep them one step closer to their customers and one step ahead of the competition.

Job Description

Responsible for designing and implementing technical solutions within the Big Data ecosystem. Collaborate with other peers in the team at the design, "hands-on" implementation and maintenance of a broad range of Big data solutions. Work under the direction of the Manager of Data Analytics to assure corporate architecture principles are successfully met and implemented. Propose, design, develop and test reusable/reliable data solutions. Effectively communicate with onsite/offsite counterparts as well as with the non-technical user community when required. The role includes intensive hands on data acquisition, transformation and modelling work using not only the full Hadoop stack but also other cutting edge Analytics solutions.
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 systems
Create and secure reliable data layers using reusable components
Interaction and partnership with teams both in the US and abroad.
Continuous automation and deployment mindset
Perform tuning and operational troubleshooting
Focus on simplicity, continuous automation & deployment, reusability and agility
Outcomes/Success Criteria
Establish development framework to speed up deployment and automation of Big Data solutions.
Successful implementation of project delivery, documentation and facilitate transition to on-site and offsite support teams.
Contribute to protecting data assets by assuring corporate data principles are successfully me

Qualifications

Minimum Requirements:
5-10 years of hands-on data solutions and software engineering experience, including no less than three years with Hadoop.
2-3 years of experience on cloud platforms: preferably Google Cloud Platform and AWS.
Demonstrable technical competency on technical solutions that include: Hive, MongoDB and/or Cassandra, SQL databases, REST APIs/Micro services, Kafka, Python, Zeppelin, Scala, Spark, RedShift and/or BigQuery, ElasticSearch and/or Solr.
1-2 years of UNIX/Linux system administration/advanced user experience
Desired Qualifications:
Development / Scripting experience with languages such as Go, Java and Bash.
Experience in at least two of the following frameworks: Jenkins, Github, Ansible, JIRA
Experience in the retail, distribution and/or manufacturing sector
Data modelling certification, Tableau experience and/or Machine Learning experience is a plus

Additional Information

All your information will be kept confidential according to EEO guidelines.