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Senior Database Developer Jobs in Illinois (NOW HIRING)

Senior Data AI Engineer

Chicago, IL ยท On-site

$109K - $148K/yr

Senior Data/AI Engineer is an individual contributor role responsible for designing, building, and ... Strong knowledge of data architecture, relational and NoSQL database concepts, ETL/ELT patterns ...

... Engineer - Senior Associate, you will focus on designing and building data infrastructure and ... and database management skills to optimize data solutions - Leveraging Apache Airflow and Apache ...

... Engineer - Senior Associate, you will focus on designing and building data infrastructure and ... and database management skills to optimize data solutions - Leveraging Apache Airflow and Apache ...

Senior Data Engineer

Chicago, IL ยท On-site

$109K - $148K/yr

PURPOSE: The Senior Data Engineer will design, code, test, and analyze software programs and ... Python or Unix Scripting Proficient in SQL, PL/SQL, relational databases (RDBMS), database concepts ...

Senior GCP Data Engineer

Chicago, IL ยท On-site

$109K - $148K/yr

As a Senior GCP Data Engineer at RXO, you'll play a role in accomplishing the following team goals ... with NoSQL databases such as Capella or MongoDB * 5 years Python experience or similar

Senior Data Product Engineer

Chicago, IL

$109K - $148K/yr

Overview The Senior, Data Product Engineer is an individual contributor role focused on handling ... Exposure to backend data systems such as data warehouses, data pipelines, or relational databases ...

... DevOps tools. * Collaborates with cross-functional technologists ad business partners across the ... Expertise in Java, Python or any scripting language, SQL/NoSQL Database systems. * Experience in ...

Senior Data Engineer

Bolingbrook, IL ยท On-site

$102K - $140K/yr

... DevOps tools. * Collaborates with cross-functional technologists ad business partners across the ... Expertise in Java, Python or any scripting language, SQL/NoSQL Database systems. * Experience in ...

Sr. Data Engineer

Chicago, IL ยท On-site +1

$145K - $170K/yr

We are looking for a collaborative Senior Data Engineer . You have a strong inclination to work in ... Strong data modeling experience (understanding of SQL, NoSQL, and other database types along with ...

Senior Data Engineer

Chicago, IL

$109K - $148K/yr

... developer productivity, automation, and platform capabilities by bringing forward modern tools ... Experience with Kafka, Airflow, Docker, Kubernetes, relational and NoSQL databases, and enterprise ...

Senior Data Engineer

Chicago, IL ยท On-site

$109K - $148K/yr

... developer productivity, automation, and platform capabilities by bringing forward modern tools ... Experience with Kafka, Airflow, Docker, Kubernetes, relational and NoSQL databases, and enterprise ...

Senior Data Engineer

Bolingbrook, IL ยท On-site

$102K - $140K/yr

... DevOps tools. * Collaborates with cross-functional technologists ad business partners across the ... Expertise in Java, Python or any scripting language, SQL/NoSQL Database systems. * Experience in ...

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Showing results 1-20

Senior Database Developer information

See Illinois salary details

$16

$55

$78

How much do senior database developer jobs pay per hour?

As of Jul 18, 2026, the average hourly pay for senior database developer in Illinois is $55.05, according to ZipRecruiter salary data. Most workers in this role earn between $45.19 and $65.24 per hour, depending on experience, location, and employer.

Are database developers still in demand?

Database developers remain in demand due to ongoing needs for data management, system optimization, and integration across industries. Skills in SQL, database design, and familiarity with tools like Oracle or MySQL are highly valued, and the role often requires staying current with emerging technologies such as cloud databases and data security. The demand is expected to continue as organizations increasingly rely on data-driven decision-making.

Is a DBA job in demand?

Database Administrator (DBA) roles are in high demand due to the increasing reliance on data management and security across industries. Skilled DBAs with knowledge of SQL, cloud platforms, and database tuning are sought after to ensure data integrity and performance. The demand is expected to grow as organizations continue to expand their data infrastructure.

What is the difference between Senior Database Developer vs Database Administrator?

AspectSenior Database DeveloperDatabase Administrator
Primary FocusDesigning, developing, and optimizing database systems and queriesMaintaining, securing, and backing up databases
Required SkillsSQL, database design, performance tuning, codingDatabase management, security protocols, troubleshooting
Work EnvironmentDevelopment teams, project-based tasksOperational environment, system monitoring
CertificationsOracle, Microsoft SQL Server certificationsOracle Certified Professional, Microsoft Certified: Azure Database Administrator

While both roles require strong SQL and database knowledge, Senior Database Developers focus on creating and optimizing database solutions, whereas Database Administrators handle the ongoing maintenance, security, and performance of databases. Understanding these differences helps employers and professionals align skills with job responsibilities.

What is the salary of a database developer?

The salary of a senior database developer typically ranges from $80,000 to $130,000 annually, depending on experience, location, and industry. Skilled professionals with expertise in SQL, database design, and tools like Oracle or SQL Server tend to earn higher salaries.

What does a senior database developer do?

A senior database developer designs, develops, and maintains complex databases to ensure data integrity, security, and performance. They often work with SQL, optimize queries, and may lead database-related projects or mentor junior staff. Strong problem-solving skills and experience with database management systems like Oracle or SQL Server are essential.
What are the most commonly searched types of Database Developer jobs in Illinois? The most popular types of Database Developer jobs in Illinois are:
Infographic showing various Senior Database Developer job openings in Illinois as of July 2026, with employment types broken down into 90% Full Time, 6% Part Time, 1% Temporary, and 3% Contract. Highlights an 87% Physical, 3% Hybrid, and 10% Remote job distribution, with an average salary of $114,510 per year, or $55.1 per hour.
Senior Data AI Engineer

Senior Data AI Engineer

CNA

Chicago, IL โ€ข On-site

$109K - $148K/yr

Full-time

Posted 8 days ago


Job description

You have a clear vision of where your career can go. And we have the leadership to help you get there. At CNA, we strive to create a culture in which people know they matter and are part of something important, ensuring the abilities of all employees are used to their fullest potential.
Senior Data/AI Engineer is an individual contributor role responsible for designing, building, and modernizing production-grade data pipelines and data solutions across hybrid cloud and on-premise environments. The role applies expertise in AI-assisted development tools, strong engineering judgment, and modern data engineering practices to integrate structured, semi-structured, and unstructured data across complex enterprise ecosystems, leveraging both legacy platforms and cloud-native technologies to deliver scalable, secure, resilient, and high-quality solutions that improve speed to delivery, operational reliability, and business value.
JOB DESCRIPTION:
Essential Duties & Responsibilities
Performs a combination of duties in accordance with departmental guidelines:
  • Serves as a key team member who delivers results and creates value for the CNA brand, customers, and internal stakeholders, while collaborating effectively with external and offshore resources as needed.

  • Demonstrate hands-on experience using AI-assisted development tools to accelerate engineering tasks such as pipeline creation, code generation, testing, and troubleshooting

  • Apply strong engineering judgment when working with AI-generated outputs, ensuring alignment with enterprise standards for quality, security, and data handling

  • Design and build data pipelines that support multi-modal data, including structured, semi-structured, and unstructured sources (e.g., transactional data, documents, and external data feeds)

  • Build and modernize data pipelines across hybrid environments (on-premise and cloud), incorporating automation, observability, and resiliency by design

  • Designs, builds, and enhances large-scale data processing systems and data lakes on Google Cloud Platform, optimizing for computational and storage efficiency while applying strong expertise in data modeling and engineering best practices.

  • Operate effectively in complex, multi-entity and multi-national system landscapes, integrating internal platforms and external data providers

  • Bring familiarity with both legacy enterprise data tools (e.g., ETL/ELT platforms, relational databases) and modern cloud-native data and integration services

  • This role is not focused on experimentation alone - it is focused on applying AI in a disciplined, production-grade engineering environment to drive measurable improvements in delivery speed, quality, and operational reliability

  • May lead or sub-lead the design of complex physical data models, projects and cloud-based data lake constructs including SQL/NoSQL database systems.

  • May lead or sub-lead the creation of integrated data views based on business or analytics requirements.

  • May lead or sub-lead robust unit testing to ensure deliverables match the design and provide expertise to support subsequent release testing.

  • Actively adheres to established quality and reliability standards, and ensures team adheres to the same quality and standards working in an Agile development environment.

  • Research, identifies and implements process improvements that address complex technology gaps. Builds strong knowledge of technology enablers.

  • May lead or sub-lead the design and building of data solutions and applications that enable reporting, analytics, data science, and data management.

  • Maintains professional and technical knowledge by attending educational workshops; reviewing professional publications; establishing personal networks; participating in professional societies. Drives the evolution of CNA application development processes and standards.

May perform additional duties as assigned.
Reporting Relationship
Typically Director or above
Skills, Knowledge & Abilities
  • Strong knowledge of data architecture, relational and NoSQL database concepts, ETL/ELT patterns, dimensional modeling, metadata, and data quality frameworks for enterprise-scale data solutions.

  • Strong experience designing and building scalable data integration and pipeline solutions with a focus on accuracy, observability, resiliency, performance optimization, and ease of consumption.

  • Proficiency in Python and advanced SQL for large-scale, complex datasets, with hands-on experience using AI-assisted development tools to accelerate coding, testing, troubleshooting, and engineering productivity.

  • Strong communication, collaboration, and stakeholder engagement skills, with the ability to apply sound engineering judgment and work effectively across highly matrixed, cross-functional, and global teams.

  • Preferred experience building data and analytics solutions on Google Cloud Platform, including services such as BigQuery, Cloud Storage, Dataflow, Dataproc, Pub/Sub, and Cloud Composer, or equivalent cloud-native data technologies.

  • Preferred experience in insurance and financial services, including familiarity with regulatory, risk, underwriting, claims, customer, and operational data domains.

  • Experience with big data and distributed processing technologies, hybrid cloud and on-premise environments, and modern engineering practices including automation, testing, CI/CD, and secure data handling.

  • Working knowledge of business intelligence, reporting, and analytics enablement tools, with an understanding of data governance, lineage, monitoring, and controls needed to support trusted, production-grade data products.

Education & Experience
  • Bachelor's degree with Master's preferred in Computer Science, Information Technology, related discipline or equivalent work experience.

  • Typically 5+ years of experience in data, analytics or application development.

  • 2+ years of coding proficiency in at least one programming language (Python, Java, SQL).

  • Experience using Agile methods preferred.

  • Applicable certifications preferred (GCP, Data Engineering).

#LI-KJ1 #LI-HYBRID
In certain jurisdictions, CNA is legally required to include a reasonable estimate of the compensation for this role. In District of Columbia, California, Colorado, Connecticut, Illinois, Maryland, Massachusetts, New York and Washington, the national base pay range for this job level is $72,000 to $141,000 annually. Salary determinations are based on various factors, including but not limited to, relevant work experience, skills, certifications and location. CNA offers a comprehensive and competitive benefits package to help our employees - and their family members - achieve their physical, financial, emotional and social wellbeing goals. For a detailed look at CNA's benefits, please visit cnabenefits.com.
CNA utilizes AI-enabled technology during the recruiting process. For more information, please visit our careers page.
CNA is committed to providing reasonable accommodations to qualified individuals with disabilities in the recruitment process. To request an accommodation, please contact leaveadministration@cna.com