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Data Programmer Jobs in Illinois (NOW HIRING)

Data Engineer III

Chicago, IL

$117K - $141K/yr

McDonald's is hiring a Data Engineer III focused on Data CleanRoomdata ingestion, curation, and analytics. This role sits within Product Engineering & Deliveryunder Data Clean rooms team andreporting ...

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 ...

Azure Data Engineer

Chicago, IL

$118K - $141K/yr

Azure Data Engineer Location: Chicago, IL - must do one day week onsite Length: 6 months This will require an onsite interview or require the candidate to pick up their laptop in person Requirements ...

Data Engineer III

Chicago, IL

$117K - $141K/yr

McDonald's is hiring a Data Engineer III focused on Data CleanRoomdata ingestion, curation, and analytics. This role sits within Product Engineering & Deliveryunder Data Clean rooms team andreporting ...

Data Engineer III

Chicago, IL

$117K - $141K/yr

McDonald's is hiring a Data Engineer III focused on Data CleanRoomdata ingestion, curation, and analytics. This role sits within Product Engineering & Deliveryunder Data Clean rooms team andreporting ...

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 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 ...

Data Engineer

O Fallon, IL · On-site

$61K - $141K/yr

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 ...

Manager, Data Engineering

Chicago, IL · On-site

$160K - $190K/yr

The Manager, Data Engineering leads the design, delivery, and reliability of TAG's enterprise data platform across our multi-brand environment. It's a hands-on leadership role covering people ...

Data Engineer

O Fallon, IL · On-site +1

$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 ...

Data Engineer, Trading

Chicago, IL · On-site

$118K - $141K/yr

... Data Models, ETL, Programmer Analyst, Programming, Software Developer, Trading, Financial, Chicago Recruiters, Information Technology Jobs, IT Jobs, Chicago Recruiting Company Will Relocate ...

Data Engineer

Chicago, IL · On-site +1

$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

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

Chicago, IL

$118K - $141K/yr

We are seeking a dedicated and experienced Data Engineer to join our Chicago team. The ideal candidate is energized by working in a cutting-edge environment that enables IMC to continue to be at the ...

Manager, Data Engineering

Chicago, IL · On-site

$160K - $190K/yr

The Manager, Data Engineering leads the design, delivery, and reliability of TAG's enterprise data platform across our multi-brand environment. It's a hands-on leadership role covering people ...

Data Quality Engineer

Chicago, IL · Remote

$118K - $141K/yr

Kemper is seeking a Data Quality Engineer specializing in Data Testing and Quality Engineering to design, implement, and optimize enterprise data validation frameworks that ensure the accuracy ...

Data Quality Engineer

Downers Grove, IL · Remote

$114K - $137K/yr

Kemper is seeking a Data Quality Engineer specializing in Data Testing and Quality Engineering to design, implement, and optimize enterprise data validation frameworks that ensure the accuracy ...

Lead Data Engineer

Chicago, IL

$118K - $141K/yr

Optiver Chicago is seeking a seasoned Data Engineer to support and advance the data capabilities of our local research team and contribute to our broader Lakehouse architecture vision. In this role ...

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Data Programmer information

See Illinois salary details

$15

$27

$45

How much do data programmer jobs pay per hour?

As of Jul 19, 2026, the average hourly pay for data programmer in Illinois is $27.27, according to ZipRecruiter salary data. Most workers in this role earn between $20.96 and $28.89 per hour, depending on experience, location, and employer.

What is the difference between Data Programmer vs Data Analyst?

AspectData ProgrammerData Analyst
Required CredentialsTypically a degree in computer science, programming, or related field; coding certificationsOften a degree in statistics, mathematics, or related field; data analysis certifications
Work EnvironmentPrimarily in software development or IT teams, focusing on coding and database managementIn business or research settings, focusing on interpreting data and generating reports
Employer & Industry UsageTech companies, software firms, data-centric organizationsFinance, marketing, healthcare, and other industries requiring data insights

While both roles involve working with data, Data Programmers focus on coding, database management, and software development, whereas Data Analysts interpret data to provide insights. Understanding these differences helps in choosing the right career path or job search focus.

What are Data Programmers?

Data Programmers are professionals who write, maintain, and optimize code related to data processing, analysis, and management. They often work with large datasets, using programming languages such as SQL, Python, or R to extract, transform, and load data for use in databases or analytics platforms. Data Programmers play a crucial role in ensuring data integrity, efficiency, and accessibility, supporting business intelligence and decision-making processes. They may also collaborate with data analysts, engineers, and other IT professionals to develop automated data workflows and solutions.

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

To thrive as a Data Programmer, you need strong programming skills in languages like SQL, Python, or R, along with a degree in computer science, information technology, or a related field. Familiarity with database management systems (such as MySQL, Oracle, or PostgreSQL), data visualization tools, and data integration platforms is typically required. Attention to detail, problem-solving ability, and effective communication are important soft skills for collaborating with teams and ensuring data accuracy. These skills and qualities are essential for efficiently managing, transforming, and delivering reliable data solutions that drive business decisions.

Is 40 too late for data science?

For a data programmer or data scientist, starting a career at 40 is feasible, as many skills such as programming, statistics, and data analysis can be learned at any age. Experience, continuous learning, and building a strong portfolio or certifications like those in Python, R, or SQL are important factors for success in the field.

What do data programmers do?

Data programmers develop, test, and maintain software that processes and manages large datasets. They often use programming languages like Python, SQL, or R and work with databases, data pipelines, and data analysis tools to ensure data is accurate and accessible for decision-making.

How do Data Programmers typically collaborate with data analysts and other stakeholders during a project?

Data Programmers play a crucial role in bridging the gap between raw data and actionable insights by working closely with data analysts, project managers, and sometimes even business stakeholders. They are responsible for building, maintaining, and optimizing data pipelines, ensuring data is accessible and reliable for analysis. Regular meetings, code reviews, and collaborative problem-solving sessions are common, allowing Data Programmers to understand project goals, clarify data requirements, and quickly address any issues that arise. This teamwork ensures that data workflows align with business needs and that the final outputs are both accurate and timely.

How to become a data programmer?

To become a data programmer, you typically need a bachelor's degree in computer science, data science, or a related field, along with strong programming skills in languages like Python, SQL, or R. Gaining experience with data manipulation, database management, and relevant tools such as Excel or data visualization software is also important. Certifications in data analysis or programming can enhance job prospects and demonstrate expertise.

Which IT job is the highest paid?

In the IT field, roles such as Chief Information Officer (CIO), IT Director, and Cloud Architect tend to be among the highest paid, often earning six-figure salaries or more. Specialized roles like Data Scientists, Cybersecurity Managers, and Software Development Managers also command high compensation, especially with advanced skills and certifications in cloud platforms, security, or data analysis.
What cities in Illinois are hiring for Data Programmer jobs? Cities in Illinois with the most Data Programmer job openings:
Data Engineer III

$117K - $141K/yr

Other

Medical, Dental, Vision, Life

Posted 3 days ago


McDonald's rating

5.1

Company rating: 5.1 out of 10

Based on 10,924 frontline employees who took The Breakroom Quiz

58th of 104 rated fast food restaurants


Job description

Job Description:

Company Description:

McDonald's is proud to be one of the most recognized brands in the world, with restaurants in over 100 countries that serve 70 million customers daily.We continue to operate from a position of strength. Our updated growth strategy is focused on staying ahead of what our customers want and realizing further growth potential. Our relentless ambition is why McDonald's remains one of the world's leading corporations after almost 70 years. Joining McDonald's means thinking big and preparing for a career that can have influence around the world.

At McDonald's, we see every day as a chance to create positive impact. We lead through our values centered on inclusivity, service, integrity, community and family. From support of Ronald McDonald House to our Youth Opportunity project and sustainability initiatives, our values keep us dedicated to using our scale for good: good for our customers, people, industry and planet. We also offer a broad range ofoutstanding benefits including a sabbatical program, tuition assistance and flexible work arrangements.

Department Overview

McDonald's is creating smarter, more responsive digital and data systems that transform operations and elevate guest experiences. The Enterprise Data, Analytics, and AI (EDAA) organization empowers every function - Marketing, Operations, Supply Chain, Finance, and more - through seamless integration of business and technology.

McDonald's is hiring a Data Engineer III focused on Data CleanRoomdata ingestion, curation, and analytics. This role sits within Product Engineering & Deliveryunder Data Clean rooms team andreporting into the Senior Manager, Data Clean Rooms.

This group manages data supporting Paid Media measurement, audience activation, attribution, sales lift,and downstream audience use-cases across markets.You will work alongside passionate data engineering professionals, architects, product managers, and business stakeholders focused on Marketing,MarTech, and Commerce Media

McDonald's is creating smarter, more responsive digital and data systems that transform operations and elevate guest experiences. The Enterprise Data, Analytics, and AI (EDAA) organization empowers every function - Marketing, Operations, Supply Chain, Finance, and more - through seamless integration of business and technology.

McDonald's is hiring a Data Engineer III focused on Data CleanRoomdata ingestion, curation, and analytics. This role sits within Product Engineering & Deliveryunder Data Clean rooms team andreporting into the Senior Manager, Data Clean Rooms.

This group manages data supporting Paid Media measurement, audience activation, attribution, sales lift, and downstream audience use-cases across markets. You will work alongside passionate data engineering professionals, architects, product managers, and business stakeholders focused on Marketing, MarTech, and Commerce Media.

Duties
  • Builds andmaintainsrelevant and reliable data products that support Data Clean Room generation flows, outbound audience activation pipelines, and downstream consumers of data clean room segments.
  • Develops and implements new technologysolutions as needed to ensure ongoing improvement with data reliability and observability as the key output.
  • Participates in new software development engineering and leads data engineering initiatives, ensuring timelyandaccuratedelivery of DCR products across GCP (prj-cp-dacleanroom-dev01 and related tenants), AWS S3, andLiveRampConnect.
  • Works closely with the Product Owner and Data Architects to define business rules that determinethe quality of relevant datasets.
  • Drives and implements best practices for pipeline development, data governance, data security, and quality across the marketing data landscape - including privacy-safe transformations, hashing, and consent enforcement.
  • Ensures scalability, maintainability, and quality of data systems powering marketing measurement, audience activation, and commerce media decisions across markets.
  • Stays up to date with emerging data engineering,MarTech, and clean room technologies, trends, and best practices, and evaluates their applicability to meet evolving analytics needs.
  • Documents data engineering processes, workflows, and solutions infor knowledge sharing and future reference. Mentors andcoachesjunior data engineers andensuresdata engineeringbest-practices.
  • Ability and flexibility to coordinate and work with teams distributed across time zones (US, EU, IN, APAC), as needed.
Qualifications
  • Bachelor's orMaster's degree in Computer Scienceor related engineering field and deep experience with Cloud computing.
  • 5+ years of professional experience in data engineering or related fields.
  • Proficiencyin Python and SQLfor data processing and automation.
  • Hands-on experience with data orchestration tools (e.g., Apache Airflow, dbt) and big data ecosystems (e.g., Spark, NoSQL,BigQuery, Snowflake, Databricks).
  • Expert knowledge of Data Quality functions like cleansing, standardization, parsing, de-duplication, mapping, and hierarchy management.
  • Deep understanding of Data Product Lifecycle, Standards, and Practices.
  • Marketing and Marketing Technologies: Working knowledge of the modern MarTechstack - CDPs (mCDPor equivalent), DSPs, DMPs, ad servers, measurement platforms, identity resolution, and consent/privacy platforms.
  • Clean Rooms and Commerce Media Networks: Hands-on experience with at least one clean room platform (e.g.LiveRamp, Habu, Snowflake Clean Rooms, AWS Clean Rooms, Google Ads Data Hub, or Amazon Marketing Cloud) and familiarity with commerce media / retail media network patterns.
  • Understanding ofprivacy-safe data collaboration concepts: hashing, identity graphs, differential privacy, aggregation thresholds, and clean room query patterns.
  • Ability to perform extensive data analysis (comparing multiple datasets) using a variety of tools.
  • Demonstrated experience in data management and data governance capabilities.
  • Familiarity with data warehousing principles and best practices.
  • Excellent collaboration skills to work effectively in cross-functional teams.
Compensation
  • Bonus Eligible:Yes
  • Long-Term Incentive: Yes
  • Benefits Eligible: Ye
Salary Range

The expected salary range for this role is$138,207.00 -$172,758.00per year
The above represents the expectedsalaryrange for this job requisition. Ultimately, in determining yourpay, we may also consider your experience, and other job-related factors.

Additional Information:

Benefits eligible: This position offers health and welfare benefits, including but not limited to comprehensive health insurance, which includes medical, prescription drug, mental health, dental and vision coverage, as well as, life insurance.

Bonus eligible: This position is eligible for a bonus, calculated based on individual and company performance.

Long term Incentive eligible: This position is eligible for stock or other equity grants pursuant to McDonald's long-term incentive plan.

McDonald's is an equal opportunity employer committed to the diversity of our workforce. We promote an inclusive work environment that creates feel-good moments for everyone. McDonald's provides reasonable accommodations to qualified individuals with disabilities as part of the application or hiring process or to perform the essential functions of their job. If you need assistance accessing or reading this job posting or otherwise feel you need an accommodation during the application or hiring process, please contact mcdhrbenefits@us.mcd.com. Reasonable accommodations will be determined on a case-by-case basis.

McDonald's provides equal employment opportunities to all employees and applicants for employment and prohibits discrimination and harassment of any type without regard to sex, sex stereotyping, pregnancy (including pregnancy, childbirth, and medical conditions related to pregnancy, childbirth, or breastfeeding), race, color, religion, ancestry or national origin, age, disability status, medical condition, marital status, sexual orientation, gender, gender identity, gender expression, transgender status, protected military or veteran status, citizenship status, genetic information, or any other characteristic protected by federal, state or local laws. This policy applies to all terms and conditions of employment, including recruiting, hiring, placement, promotion, termination, layoff, recall, transfer, leaves of absence, compensation and training.

Nothing in this job posting or description should be construed as an offer or guarantee of employment.


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About McDonald's

Sourced by ZipRecruiter

What began as a small drive-in restaurant in San Bernardino, California and has grown into an American icon that proudly serves 63 million customers every day around the globe. While much has changed over the last six decades, Ray Kroc's original commitment to Quality, Service, Cleanliness and Value has endured and made McDonald's a trusted favorite for over 65 years.

Industry

Food services and drinking places

Company size

10,000+ Employees

Headquarters location

Chicago, IL, US