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Data Developer Jobs in Illinois (NOW HIRING)

Data Engineer

Chicago, IL · On-site

$118K - $141K/yr

Summary The Data Engineer, Solutions & Data role designs, builds, and operates data pipelines and data integration processes that translate raw data into trusted, usable datasets for analytics ...

Data Engineer

O Fallon, IL · On-site

$106K - $128K/yr

As a Data Engineer, you will be responsible for organizing data from disparate sources and developing technology solutions that support mission-driven projects. Responsibilities : • help our ...

Data Engineer

Chicago, IL · Hybrid

$118K - $141K/yr

Data Engineer Join a dynamic team in a hybrid role based in the Chicago area. Focus on designing and maintaining data pipelines using generic data processing platforms. Engage in building and ...

Sr. Data Engineer

Chicago, IL · Hybrid

$118K - $141K/yr

Job Title: Sr. Data Engineer Location(s): Chicago, IL ( Hybrid) Key Skills: AWS (EMR, DynamoDB, S3, Lambda), Python, PySpark, Databricks, SQL Overview: We are seeking a highly skilled Sr. Data ...

Data Engineer

Bloomington, IL · Hybrid

$109K - $130K/yr

Your Responsibilities May Include: • Utilizes industry-adopted languages and frameworks in coding, testing, security, DevOps, DataOps and data engineering practices • Develops and maintains ...

New

Data Engineer

O Fallon, IL · On-site

$61K - $141K/yr

Data Engineer The Opportunity: Ever-expanding technology like IoT, machine learning, and artificial intelligence means that there's more structured and unstructured data available today than ever ...

Data Engineer

O Fallon, IL · On-site

$61K - $141K/yr

Data Engineer The Opportunity: Ever-expanding technology like IoT, machine learning, and artificial intelligence means that there's more structured and unstructured data available today than ever ...

R0240529 Data Engineer The Opportunity: Ever-expanding technology like IoT, machine learning, and artifi cia l intelligence means that there's more structured and unstructured data available today ...

Data Engineer

O Fallon, IL · On-site

$61K - $141K/yr

Share Data Engineer The Opportunity: Ever-expanding technology like IoT, machine learning, and artificial intelligence means that there's more structured and unstructured data available today than ...

AI Data Engineer

Moline, IL · On-site

$103K - $124K/yr

AI Data Engineer Location: Moline,IL Pay Rate:USD$ 60 .00 $ 65 .00 /hr.with benefits Key Responsibilities Data Engineering: Design, develop, and manage data pipelines to handle and process large ...

Data Engineer

Chicago, IL · On-site

$118K - $141K/yr

Data Engineer Location: Chicago, Ill Openings: 1 Type: Permanent hire The Client is searching for an experienced data engineer. This person will be responsible for building and managing an array of ...

GCP Data Engineer

Chicago, IL · On-site

$118K - $141K/yr

... 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.

Data Engineer, Trading

Chicago, IL

$118K - $141K/yr

Data Engineer, Trading, Chicago, IL A proprietary trading firm is seeking a Data Engineer with ... Developer, Trading, Financial, Chicago Recruiters, Information Technology Jobs, IT Jobs, Chicago ...

Data Engineer

Chicago, IL · Hybrid

$118K - $141K/yr

Data Engineer Salary: Open + Bonus Location: Chicago, IL Hybrid: 3 days onsite, 2 days remote *We are unable to provide sponsorship for this role* Qualifications * Bachelor s degree * 3+ years of ...

Data Engineer, Trading

Chicago, IL · On-site

$118K - $141K/yr

Data Engineer, Trading, Chicago, IL A proprietary trading firm is seeking a Data Engineer with ... Developer, Trading, Financial, Chicago Recruiters, Information Technology Jobs, IT Jobs, Chicago ...

GCP Data Engineer

Chicago, IL · On-site

$118K - $141K/yr

... 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.

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Showing results 1-20

Data Developer information

See Illinois salary details

$25

$51

$78

How much do data developer jobs pay per hour?

As of Jun 17, 2026, the average hourly pay for data developer in Illinois is $51.47, according to ZipRecruiter salary data. Most workers in this role earn between $42.16 and $58.22 per hour, depending on experience, location, and employer.

How does a Data Developer typically collaborate with data analysts and data engineers within a project team?

Data Developers frequently work alongside data analysts and data engineers to design, build, and maintain robust data pipelines and databases. While data engineers often focus on the infrastructure and large-scale data architecture, Data Developers bridge the gap by implementing data models, optimizing queries, and ensuring data is accessible and reliable for analysis. Regular collaboration includes aligning on data requirements, troubleshooting data flow issues, and refining processes to support business intelligence and reporting needs. This teamwork ensures that data assets are accurate, up-to-date, and tailored for various stakeholder needs.

What are Data Developers?

Data Developers are professionals who design, build, and maintain systems that collect, store, process, and analyze large volumes of data. They work with databases, data pipelines, and various programming languages to ensure that an organization’s data is accessible, reliable, and efficiently managed. Data Developers often collaborate with data analysts, data scientists, and other IT staff to support business intelligence and data-driven decision-making. Their responsibilities may include writing complex SQL queries, developing ETL (extract, transform, load) processes, and optimizing database performance.

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

To thrive as a Data Developer, you need strong programming skills (such as SQL, Python, or Java), a deep understanding of database design, and experience with data modeling, typically supported by a degree in computer science or a related field. Familiarity with tools like SQL Server, Oracle, ETL platforms, and cloud data services, as well as certifications in database technologies, are commonly required. Analytical thinking, problem-solving, and effective communication are crucial soft skills for collaborating with stakeholders and translating data needs into solutions. These competencies ensure efficient data management, support business intelligence efforts, and enable the delivery of reliable, scalable data systems.

What jobs pay 500,000 a year in the US?

In the US, high-paying roles such as senior data developers, data architects, and chief data officers can earn around or above $500,000 annually, especially with extensive experience, advanced skills in data management and analytics, and leadership responsibilities. These positions often require advanced degrees, certifications, and a strong track record in managing large data projects or teams.

What is the difference between Data Developer vs Data Analyst?

AspectData DeveloperData Analyst
Primary RoleBuilds and maintains data pipelines, databases, and data infrastructureAnalyzes data to generate reports, insights, and support decision-making
Skills & CertificationsSQL, ETL tools, programming (Python, Java), database managementSQL, Excel, data visualization tools, statistical analysis
Work EnvironmentData engineering teams, IT departments, software development environmentsBusiness units, analytics teams, management
Industry UsageTechnology, finance, healthcare, any data-driven industryMarketing, finance, retail, business intelligence

While Data Developers focus on creating and maintaining the data infrastructure, Data Analysts interpret data to provide actionable insights. Both roles are essential in data-driven organizations but serve different functions within the data ecosystem.

What does a data developer do?

A data developer designs, builds, and maintains data systems and pipelines to collect, store, and process large amounts of data. They often work with programming languages like SQL and Python, and use tools such as data warehouses and ETL processes to ensure data is accessible and reliable for analysis and decision-making.

What jobs in the US pay 300,000 a year?

For a Data Developer, earning $300,000 annually typically requires extensive experience, advanced skills in programming, data architecture, and often leadership responsibilities. Such compensation is more common in senior roles within large organizations, financial firms, or tech companies, especially for those with specialized expertise or managerial duties.

What jobs pay 200,000 a year in the USA?

Data Developers with advanced skills in programming, data management, and analytics can earn around $200,000 annually, especially with experience, certifications, and working in high-demand industries. Senior roles often require expertise in tools like SQL, Python, or cloud platforms and may involve leadership or specialized project responsibilities.
What are popular job titles related to Data Developer jobs in IL? For Data Developer jobs in IL, the most frequently searched job titles are:
Infographic showing various Data Developer job openings in Illinois as of June 2026, with employment types broken down into 1% Internship, 3% As Needed, 24% Full Time, 59% Part Time, 12% Contract, and 1% Nights. Highlights an 84% Physical, 4% Hybrid, and 12% Remote job distribution, with an average salary of $107,066 per year, or $51.5 per hour.

Data Engineer

Dlapiper

Chicago, IL • On-site

$118K - $141K/yr

Full-time

Medical, Dental, Vision, Retirement

Posted 13 days ago


Job description

DLA Piper is, at its core, bold, exceptional, collaborative and supportive. Our people are the backbone, heart and soul of our firm. Wherever you are in your professional journey, DLA Piper is a place you can engage in meaningful work and grow your career. Let's see what we can achieve. Together.

Summary

The Data Engineer, Solutions & Data role designs, builds, and operates data pipelines and data integration processes that translate raw data into trusted, usable datasets for analytics, reporting, and downstream solutions. The role focuses on operationalizing pipelines with governance and service expectations (SLAs), improving data quality and reusability, and enabling secure access to integrated data in support of business initiatives. In current initiatives, data engineering includes consolidating data from multiple sources into a central SQL-based integration point and performing field mapping and transformations, so solution teams can consume data consistently.

Location

This position can sit in any of our U.S. offices and offers a hybrid work schedule.


Responsibilities

Data Pipeline Engineering & Integration

  • Build and operationalize data pipelines across heterogeneous environments, aligning to governance principles and service expectations (SLAs).

  • Build and maintain ingestion, transformation, and publication of pipelines (data engineering practice) to deliver analytics-ready data.

  • Consolidate data from multiple sources into a centralized integration point (e.g., a single SQL Server instance) and manage field mappings and transformations to support consistent downstream consumption.

Data Platform & Storage

  • Design and implement data pipelines using Azure data technologies (e.g., Azure Data Factory, Azure Databricks, Azure Event Hubs, SSIS) to ingest, process, and deliver data from sources such as APIs and other systems.

  • Build and maintain data warehousing capabilities (e.g., Azure Synapse Analytics) to support analytics and reporting workloads.

Data Quality, Reliability & Operations

  • Identify, troubleshoot, and resolve data issues including data quality, integrity, latency, and security concerns; apply monitoring and operational best practices to keep pipelines reliable and performant.

  • Contribute to data quality and governance practices, including profiling datasets, defining quality rules, and establishing monitoring/remediation approaches.

Collaboration & Delivery (Agile Pod Model)

  • Work cross-functionally with engineers, analysts, and stakeholders to understand requirements and deliver data solutions that support sprint-based delivery.

  • Support pod-level delivery by producing reusable data assets and integration components that can be leveraged across multiple initiatives.

Desired Skills

  • Proficiency in SQL and Python.

  • Data pipeline tooling and cloud data services experience (Azure Data Factory, Azure Databricks, Azure Event Hubs, SSIS).

  • Data warehousing experience (Azure Synapse Analytics) and strong fundamentals in data modeling, warehousing, and governance.

  • Scripting/automation skills (PowerShell and related tooling) for platform operations and troubleshooting.

  • Preferred experience includes familiarity with additional programming languages such as Java, Scala, or Go; experience integrating data from multiple enterprise source systems into a central SQL-based integration layer; and familiarity with DataOps concepts and operating in cross-functional teams that include data engineering personas.

  • The measures of success for this role include delivering data pipelines with trusted, quality data with agreed service levels, enabling faster onboarding of new data and more consistent analytics/AI consumption and creating reduced manual effort through reusable integrations and standardized transformations, improved data reliability and operational readiness.


Minimum Education

  • High School or GED


Preferred Education

  • Bachelor's Degree in Computer Science, Engineering, or related field.


Minimum Years of Experience

  • 3 years of experience in data engineering and/or data platform engineering (pipelines, integration, and operational support).


Essential Job Expectations

While the specific job requirements of a DLA Piper position may vary depending upon scope of the job and area of specialty, there are certain universal requirements that are expected of all DLA Piper employees, which include but are not limited to:

  • Effectively communicate, verbally and in writing, with clients, lawyers, business professionals, and third parties;

  • Produce deliverables, answer phone calls, and reply to correspondence in an efficient and responsive manner;

  • Provide timely, accurate, and quality work product;

  • Successfully meet deadlines, expectations, and perform work duties as required;

  • Foster positive work relationships;

  • Comply with all firm policies and practices;

  • Engage in both physical and sedentary activity, such as (a) working at a computer for extended periods of time, including on-screen reading and typing; (b) participating in digital/virtual conference calls; (c) participating in meetings as needed;

  • Ability to work under pressure and manage competing demands in a fast-paced environment;

  • Perform all other duties, tasks or projects as assigned.

Our employees are expected to embrace and uphold our firm values as a part of our DLA Piper culture. We are committed to excellence in how we represent our clients and develop our people.

Physical Demands

Sedentary work: Exerting up to 10 pounds of force occasionally and/or a negligible amount of force frequently or constantly to lift, carry, push, pull or otherwise move objects, including the human body. Sedentary work involves sitting most of the time. Jobs are sedentary if walking and standing are required only occasionally and all other sedentary criteria are met.


Work Environment

The individual selected for this position may have the opportunity for a hybrid work arrangement comprised of remote and in-office work, the requirement for which will be determined in coordination with the hiring manager or supervisor and may be modified in the firm's discretion in the future.
Disclaimer

The purpose of this job description is to provide a concise statement of the work elements and to organize and present the information in a standardized way. It is not intended to describe all the elements of the work that may be performed by every individual in this classification, nor should it serve as the sole criteria for personnel decisions and actions. The job duties, requirements, and expectations for this position may be modified at the Firm's discretion at any time. This job description does not change the at-will nature of employment.

Application Process

Applicants must apply directly online instead of sending application materials via email.

Accommodation

Reasonable accommodations may be made upon request to permit individuals with a disability to perform the essential functions and responsibilities of the position or to participate in the job selection process. If you have a request for an accommodation during the application process, please contact careers@us.dlapiper.com.

Agency applications will not be considered.

No immigration sponsorship is available for this position.


The firm's expected hiring range for this position is $100,787 - $160,255 depending on the candidate's geographic market location.

The compensation offered for employment will also be dependent on other factors including the candidate's experience, skills, educational and professional background, and overall qualifications. We offer a comprehensive package of benefits including medical/dental/vision insurance, and 401(k).

Applicants who are not based in the jurisdiction in which this position is posted and who apply for this role are doing so voluntary and are not eligible for relocation assistance. Any relocation benefits, if any, are provided only where a relocation is required at the firm's direction and in accordance with applicable policy and law.

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DLA Piper is an equal opportunity employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, disability, or status as a protected veteran.Job applicant poster viewing center.