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Data Engineer Ii Jobs in Chicago, IL (NOW HIRING)

IGT

Data Engineer II

Chicago, IL · On-site

$117K - $141K/yr

About the Role We are seeking a Data Engineer II to join our Global Data Platform & Engineering team. In this role, you will help build and maintain scalable, cloud-native data solutions that power ...

Progressive Gaming

Data Engineer II

Chicago, IL · On-site

$117K - $141K/yr

About the Role We are seeking a Data Engineer II to join our Global Data Platform & Engineering team. In this role, you will help build and maintain scalable, cloud-native data solutions that power ...

IMC

Data Engineer

Chicago, IL · On-site

$118K - $141K/yr

We are seeking a dedicated and experienced Data Engineer to join our Chicago team. The ideal ... * 2+ years of experience building applications/pipelines with Big Data backends (S3, HDFS ...

Collegis LLC

Data Engineer

Oak Brook, IL · On-site

$80K - $110K/yr

Bachelor's or Master's Degree in MIS, IS, Business Analytics, Computer Science, a related field, or equivalent experience. * 2-5 years of experience in data engineering. * Advanced SQL, plus bash and ...

Collegis Education

Data Engineer

Oak Brook, IL

$115K - $138K/yr

Bachelor's or Master's Degree in MIS, IS, Business Analytics, Computer Science, a related field, or equivalent experience. * 2-5 years of experience in data engineering. * Advanced SQL, plus bash and ...

IMC Trading

Data Engineer

Chicago, IL · On-site

$118K - $141K/yr

Required : • 5+ years experience working in a mature data engineering environment • 3+ years of experience building Kafka streaming applications and/or maintaining Kafka clusters • 2+ years of ...

IMC

Data Engineer

Chicago, IL · On-site

$175K - $225K/yr

... * 2+ years of experience building applications/pipelines with Big Data backends (S3, HDFS ... engineers, traders, and business operations professionals are united by our uniquely collaborative ...

IMC

Data Engineer

Chicago, IL · On-site

$175K - $225K/yr

... * 2+ years of experience building applications/pipelines with Big Data backends (S3, HDFS ... engineers, traders, and business operations professionals are united by our uniquely collaborative ...

Paychex

Data Engineer

Chicago, IL · Remote

$99K - $150K/yr

ML Ops. * 2 years of experience in Design, implement, and maintain automation platform and tools ... Operations * Data Engineering * Python (Programming Language) * SQL (Programming Language)

The Hartford

Data Engineer

Chicago, IL · Hybrid

$100K - $151K/yr

Data Engineer - GE08AE We're determined to make a difference and are proud to be an insurance ... Qualifications: * 2+ years of relevant experiencerecommended * Bachelor's degree in Computer ...

Apex Informatics

Data engineer

Chicago, IL · On-site

$118K - $141K/yr

Looking for 2 to 4 years of professional experience as a Data engineer Chicago, IL. Skills required: SAAS, SQL, Snowflake and Airflow. * Strong SQL Skills: Proficiency in writing complex queries ...

Excel Sports Management

Data Engineer

Chicago, IL · On-site

$100K - $115K/yr

A four-year degree in Computer Science, Data Science, Mathematics, Engineering, or a related field OR equivalent experience. * 2+ years of professional experience in data engineering, software ...

hightower

Data Engineer

Chicago, IL · Hybrid

$140K - $150K/yr

... field. * 2-4 years of experience building and operating data pipelines in a professional ... Strong collaboration skills with non-engineers, including analysts, data scientists, and business ...

Capital One

Lead Data Engineer

Chicago, IL · On-site

$118K - $141K/yr

Lead Data Engineer Do you love building and pioneering in the technology space? Do you enjoy ... At least 2 years of experience in big data technologies * At least 1 year experience with cloud ...

Capital One

Lead Data Engineer

Chicago, IL · On-site

$118K - $141K/yr

Lead Data Engineer Do you love building and pioneering in the technology space? Do you enjoy ... At least 2 years of experience in big data technologies * At least 1 year experience with cloud ...

Hightower

Data Engineer

Chicago, IL · On-site

$125K - $140K/yr

A Data Engineer builds or maintains data management systems, such as databases and data pipelines ... field. * 2-4 years of experience building and operating data pipelines in a professional ...

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All JobsData Engineer Ii JobsData Engineer Ii Jobs in Chicago, IL

Data Engineer Ii information

See Chicago, IL salary details

$45.8K

$133.6K

$182.9K

How much do data engineer ii jobs pay per year?

As of Aug 27, 2026, the average yearly pay for data engineer ii in Chicago, IL is $133,627.00, according to ZipRecruiter salary data. Most workers in this role earn between $118,000.00 and $141,600.00 per year, depending on experience, location, and employer.

What is a Data Engineer II?

A Data Engineer II is responsible for designing, building, and maintaining data pipelines and architectures to support analytics and business intelligence. They typically work with large datasets, ensuring data is collected, stored, and processed efficiently and securely. The role often involves optimizing data flow, writing complex queries, integrating data from multiple sources, and collaborating with data scientists and analysts. As a mid-level position, Data Engineer II professionals may also mentor junior engineers and contribute to the development of best practices in data engineering.

What skills and qualifications are needed to thrive as a Data Engineer II?

To thrive as a Data Engineer II, you need strong skills in data modeling, ETL development, SQL, and programming languages like Python or Java, often supported by a bachelor’s degree in computer science or a related field. Familiarity with data warehousing solutions (such as AWS Redshift or Google BigQuery), cloud platforms, and tools like Apache Spark or Airflow, as well as relevant certifications, is highly beneficial. Excellent problem-solving, collaboration, and communication skills help you work effectively with both technical and non-technical teams. These competencies are crucial to ensure the efficient design, development, and maintenance of scalable, reliable data infrastructure that supports business decision-making.

What challenges does a Data Engineer II face when transitioning from individual contributor to collaborating in cross-functional teams?

As a Data Engineer II, you will often shift from working primarily on independent tasks to collaborating closely with data scientists, analysts, and software engineers. A common challenge is ensuring that data pipelines and infrastructure meet the varying needs of different stakeholders, often requiring clear communication and compromise. You'll also need to balance maintaining data integrity with building scalable solutions under tight deadlines. Developing strong collaboration skills and being proactive in understanding team goals will help you succeed in this environment.

What is the difference between Data Engineer Ii vs Data Engineer I?

AspectData Engineer IData Engineer II
ExperienceEntry-level, 0-2 yearsMid-level, 2-4 years
CertificationsBasic data or cloud certifications often preferredAdvanced certifications like AWS, GCP, or Azure data certifications
ResponsibilitiesAssist in data pipeline development, basic data modelingDesign and optimize data pipelines, handle complex data projects
Work EnvironmentSupportive team, supervised tasksIndependent problem-solving, project ownership

In summary, Data Engineer I is an entry-level role focusing on basic data tasks, while Data Engineer II involves more complex responsibilities and greater independence, often requiring additional certifications and experience.

What are popular job titles related to Data Engineer Ii jobs in Chicago, IL?

For Data Engineer Ii jobs in Chicago, IL, the most frequently searched job titles are:

What job categories do people searching Data Engineer Ii jobs in Chicago, IL look for?

The top searched job categories for Data Engineer Ii jobs in Chicago, IL are:

Data Engineer Ii jobs near you
Infographic showing various Data Engineer Ii job openings in Chicago, IL as of August 2026, with employment types broken down into 1% As Needed, 84% Full Time, 12% Part Time, and 3% Contract. Highlights an 86% Physical, 4% Hybrid, and 10% Remote job distribution, with an average salary of $133,627 per year, or $64.2 per hour.

Data Engineer II

IGT

Chicago, IL • On-site

$117K - $141K/yr

Full-time

Medical, Dental, Vision, Life, Retirement, PTO

Re-posted 10 days ago

IGT rating

7.6

Company rating: 7.6 out of 10

Based on 52 frontline employees who took The Breakroom Quiz

249th of 495 rated machine equipment manufacturers

Job description

IGT, where innovation meets entertainment on a global scale!  From the casino floor to your mobile screen, we deliver thrilling, responsible, and unforgettable gaming experiences-powered by worldclass content, strong technical and commercial capabilities and nurtured by a culture of collaboration, accountability, and ownership.

 

Whether it's spinning reels, placing bets, or enabling secure payments, we turn innovation into impact through disciplined execution and longterm value creation. With a team of over 6,000 employees across 30+ countries and products delivered in more than 100 jurisdictions worldwide, we operate at scale while staying closely connected to costumers we serve. If you're ready to bring your talent to a team shaping the future of entertainment, your next big move starts here - www.igt.com.

About the Role

We are seeking a Data Engineer II to join our Global Data Platform & Engineering team. In this role, you will help build and maintain scalable, cloud-native data solutions that power enterprise analytics, reporting, and emerging AI initiatives.


You will work with modern data technologies including Databricks, Apache Spark, Delta Lake, Python, SQL, and AWS to develop reliable data pipelines and curated datasets. Working closely with business stakeholders, analytics teams, and fellow engineers, you'll transform business requirements into high-quality, production-ready data solutions.
This position is ideal for an engineer who enjoys solving complex data challenges, building scalable solutions, and continuously learning new technologies.

What You'll Do
  • Design, develop, and maintain scalable ELT/ETL pipelines using Databricks, Apache Spark, SQL, and Python. 
  • Build and maintain reliable, high-quality datasets that support enterprise analytics, operational reporting, and AI use cases. 
  • Develop data transformations using Delta Lake and Lakehouse architecture best practices. 
  • Integrate data from enterprise applications, APIs, databases, files, and other internal and external sources. 
  • Collaborate with business stakeholders, analysts, and product teams to understand data requirements and deliver scalable solutions. 
  • Monitor, troubleshoot, and optimize production data pipelines for reliability, scalability, and performance. 
  • Participate in migrating and modernizing legacy data processes to cloud-native architectures. 
  • Improve data quality through validation, testing, monitoring, and automation. 
  • Contribute to engineering best practices through code reviews, documentation, and knowledge sharing. 
  • Support continuous improvement of the enterprise data platform by identifying opportunities for automation, optimization, and simplification.
Required Qualifications
  • Bachelor's degree in Computer Science, Information Systems, Engineering, or a related field, or equivalent practical experience. 
  • 3+ years of experience in Data Engineering or a related technical role. 
  • Strong SQL development skills. 
  • Strong Python programming experience. 
  • Experience building data pipelines using Apache Spark and Databricks (or similar distributed data processing platforms). 
  • Experience developing modern ETL/ELT pipelines. 
  • Understanding of data modeling and data warehousing concepts. 
  • Experience working with cloud-based data platforms, preferably AWS. 
  • Familiarity with Delta Lake or similar modern data storage technologies. 
  • Experience using Git and collaborative software development practices. 
  • Strong analytical, troubleshooting, and problem-solving skills. 
  • Excellent communication and collaboration skills.
Preferred Qualifications
  • Experience with AWS data services such as Amazon S3, Lambda, or related technologies.
  • Experience working with Databricks on AWS.
  • Experience with Delta Lake and Medallion/Lakehouse architecture.
  • Experience with orchestration tools such as Databricks Workflows, Apache Airflow, or similar workflow orchestration platforms. 
  • Experience consuming and developing REST APIs. 
  • Experience working with semi-structured data, including JSON and Excel-based data ingestion. 
  • Familiarity with CI/CD practices for data engineering. 
  • Exposure to AI/ML workflows or data preparation for machine learning and generative AI applications. 
  • Experience working in gaming, hospitality, financial services, or other data-intensive industries.
Technical Environment

You'll work with technologies including: 

  • Databricks (AWS) 
  • Apache Spark 
  • Delta Lake 
  • Python 
  • SQL 
  • Amazon S3 
  • Git 
  • REST APIs 
  • CI/CD pipelines
What Makes You Successful
  • You enjoy solving complex technical problems and continuously improving existing solutions. 
  • You can work independently while collaborating effectively with cross-functional teams. 
  • You write clean, maintainable, and well-tested code. 
  • You take ownership of your work from development through production support. 
  • You have a growth mindset and enjoy learning new technologies. 
  • You communicate technical concepts clearly with both technical and non-technical audiences.

#LI-CK1

IGT is committed to sustaining a workforce that reflects the diversity of the global customers and communities we serve and to fostering an inclusive environment where all employees feel valued, respected, and engaged. IGT is an equal opportunity employer and provides equal employment opportunities without regard to race, color, religion, sex (including pregnancy, sexual orientation, and gender identity), national origin, age, disability, veteran status, genetic information, or any other characteristic protected by applicable law. We thank all applicants for their for applying; however, only those selected to interview will be contacted. 

At IGT, we consider a wide range of factors in determining compensation, including skills, experience, education, and geographic location. These factors may result in variation in starting pay. The estimated compensation for this role is up to $104,000 USD, based on a good-faith assessment at the time of posting. Actual compensation may vary. IGT complies with all applicable pay transparency and compensation laws and collective bargaining agreements, where applicable. 
Base pay is one component of IGT's total rewards program. Depending on the role, employees may be eligible for bonus or commission opportunities. IGT also offers a comprehensive benefits package, which may include a 401(k) savings plan with company contributions, medical, dental, and vision insurance, life and disability coverage, paid time off, tuition reimbursement, and other wellness programs, subject to eligibility requirements. 

IGT is the global leader in gaming. For more information, please visit www.igt.com.

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About IGT

Sourced by ZipRecruiter

IGTis a global leader in gaming. We deliver entertaining and responsible gaming experiences for players across all channels and regulated segments, from Lotteries and Gaming Machines to Sports Betting and Digital. Leveraging a wealth of compelling content, substantial investment in innovation, player insights, operational expertise, and leading-edge technology, our solutions deliver unrivaled gaming experiences that engage players and drive growth. We have a well-established local presence and relationships with governments and regulators in more than 100 countries around the world, and create value by adhering to the highest standards of service, integrity, and responsibility.

Industry

Manufacturing

Company size

10,000+ Employees

Headquarters location

London, Greater London, GB

Social media

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