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Data Solutions Developer Jobs in Illinois (NOW HIRING)

Co-Sourcing Partners

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 ...

Collegis LLC

Data Engineer

Oak Brook, IL · On-site

$80K - $110K/yr

This role exists to design, develop, and maintain data integration and transformation solutions ... Working experience with DevOps processes and workflows. * Working experience with data governance ...

Addison Group

Lead Data Engineer

Chicago, IL · On-site

$75 - $85/hr

Build cloud-based data solutions utilizing Databricks and AWS technologies. * Create reliable, high ... Experience with CI/CD and DevOps practices. * Previous technical leadership or mentoring experience.

Collegis Education

Data Engineer

Oak Brook, IL · On-site

$115K - $138K/yr

This role exists to design, develop, and maintain data integration and transformation solutions ... Working experience with DevOps processes and workflows. * Working experience with data governance ...

PROLIM Global Corporation

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 ...

Empeople Credit Union

Data Engineer

Moline, IL · On-site +1

$88K - $133K/yr

OVERVIEW We are seeking a highly skilled and motivated Data Engineer responsible for supporting the Credit Union and Data & Analytics with efficient data solutions that are dynamic and automated.

Empeople Credit Union

Data Engineer

Moline, IL

$88K - $133K/yr

We are seeking a highly skilled and motivated Data Engineer responsible for supporting the Credit Union and Data & Analytics with efficient data solutions that are dynamic and automated. This role ...

Empeople Credit Union

Data Engineer

Moline, IL · On-site +1

$88K - $133K/yr

OVERVIEW We are seeking a highly skilled and motivated Data Engineer responsible for supporting the Credit Union and Data & Analytics with efficient data solutions that are dynamic and automated.

SYSTEGRATION INC

dbt / Data Engineer

Des Plaines, IL · On-site

$111K - $134K/yr

... solutions transitioning data from SQL Server into Snowflake while managing complex SQL queries and data pipelines. · Configure and troubleshoot ADF connectors and data-integration processes. · ...

Northern Trust

Solution Architect - Data & AI

Chicago, IL · On-site

$137K - $233K/yr

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

SYSTEGRATION INC

dbt / Data Engineer

Des Plaines, IL · On-site

$111K - $134K/yr

... solutions transitioning data from SQL Server into Snowflake while managing complex SQL queries and data pipelines. · Configure and troubleshoot ADF connectors and data-integration processes. · ...

IGT

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 ...

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All JobsData Solutions Developer JobsData Solutions Developer Jobs in Illinois

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 are popular job titles related to Data Solutions Developer jobs in Illinois?

For Data Solutions Developer jobs in Illinois, the most frequently searched job titles are:

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:

Data Solutions Developer jobs near you
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.

GCP Data Engineer

Co-Sourcing Partners

Chicago, IL • On-site

$118K - $141K/yr

Contractor

Re-posted 11 hours ago

Job description

Job Title: GCP Data Engineer
Duration: 6 months Contract to hire
Location: Chicago is the preferred location, but open to candidates from anywhere in the U.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 expertise in building robust batch and streaming pipelines, implementing modern data architectures, and enabling reliable, high-quality data platforms for analytics, reporting, and machine learning use cases.
Key Responsibilities
Data Engineering & Pipeline Development
  • Design, build, and optimize scalable batch and real-time (streaming) data pipelines using GCPnative services.
  • Develop and maintain data ingestion frameworks leveraging tools such as Pub/Sub, Dataflow, and Cloud Storage.
  • Implement data transformation pipelines using BigQuery, dbt, and Python-based workflows.
  • Ensure efficient handling of large-scale structured and unstructured datasets. Data Modeling & Architecture
  • Design and implement high-performance data models for cloud-based data lakes, data warehouses, and analytics platforms.
  • Optimize data schemas and partitioning strategies in BigQuery for performance and cost efficiency.
  • Support modern architectures such as medallion (bronze/silver/gold) layers and lakehouse patterns.

Development & Coding
  • Write advanced SQL queries for transformation, validation, and analytics.
  • Develop scalable data processing logic using Python and/or Apache Beam.
  • Build reusable, modular, and maintainable code for data workflows.

Data Quality, Observability & Reliability
  • Implement and maintain data quality checks, validation rules, and anomaly detection frameworks.
  • Enable data observability through monitoring, logging, and alerting mechanisms.
  • Ensure highly reliable data pipelines with fault tolerance and error handling strategies.

ETL/ELT Modernization
  • Support migration and modernization efforts from legacy ETL tools (e.g., Talend) to GCP-native ELT frameworks (dbt).
  • Optimize existing pipelines for performance, scalability, and maintainability in cloud environments.
  • Drive adoption of ELT best practices using BigQuery as the compute engine.

Collaboration & Stakeholder Engagement
  • Collaborate with data architects, business analysts, and machine learning teams to deliver trusted datasets.
  • Translate business requirements into scalable data solutions.
  • Provide technical guidance and support for downstream analytics and reporting use cases.

Best Practices & Governance
  • Drive adoption of best practices in cloud data engineering, CI/CD, and DevOps.
  • Implement secure data access controls using IAM roles, policies, and governance frameworks.
  • Follow standards for code quality, version control (Git), and automated deployments.

Required Qualifications
  • Bachelor's or Master's degree in Computer Science, Engineering, or related field.
  • 4+ years of experience in data engineering or data platform development.
  • Hands-on experience with Google Cloud Platform (GCP) services:
  • BigQuery
  • Dataflow
  • Pub/Sub
  • Cloud Storage
  • Strong proficiency in SQL and Python.
  • Experience with dbt (Data Build Tool) or similar ELT frameworks.
  • Experience building batch and streaming data pipelines.

Preferred Skills
  • Experience with Apache Beam or Spark.
  • Familiarity with Talend or other ETL tools and migration to cloud-native solutions.
  • Knowledge of data lakehouse architectures and modern data stack.
  • Experience with CI/CD tools (e.g., GitHub Actions, Cloud Build, Jenkins).
  • Understanding of data security, governance, and compliance standards.
  • Exposure to machine learning data pipelines and feature engineering.

Key Competencies
  • Strong problem-solving and analytical skills
  • Ability to work in cross-functional teams
  • Excellent communication and documentation skills
  • Focus on performance optimization and scalability
  • Attention to data quality and reliability

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