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Java Data Engineer Jobs in Oak Brook, IL (NOW HIRING)

Innovizant LLC

Java Developer/Architect

Schaumburg, IL

$61.75 - $83.50/hr

Innovizant made up of exceptional data scientists and domain experts with a great experience in Our ... Role: Java Developer/Architect (Data) Location: Schaumburg, IL Full Time (Direct Hire) Must Have:

Staffingine LLC

Java Developer

Chicago, IL · On-site

$52.50 - $68/hr

Java Developer Job Location: Chicago, IL Job Type: Contract * Lead design development and ... Ensure adherence to enterprise security policies data management and compliance standards during ...

Innovizant LLC

Java Developer/Architect

Schaumburg, IL · On-site

$61.75 - $83.50/hr

Innovizant made up of exceptional data scientists and domain experts with a great experience in Our ... Role: Java Developer/Architect (Data) Location: Schaumburg, IL Full Time (Direct Hire) Must Have ...

SynergisticIT

Entry level Java Developer

Evanston, IL · On-site

... Data & Analytics summit Why do Tech Companies not Hire recent Computer Science Graduates ... Currently, We are looking for entry-level software programmers, Java Full stack developers, Python ...

Contact Government Services, LLC

Java Developer

Chicago, IL · On-site

$52.50 - $68/hr

The developer will be asked to aggregate data from several different existing sources and prepare ... Java coding and web applications including Java Server Faces Framework. CGS brings motivated ...

Dunn Solutions Group

Java Developer

Skokie, IL

$48.75 - $63/hr

Specialties Business Intelligence, Custom Application Development, Mobile Applications, Data Warehousing, Portals, E-Commerce Website Description Dunn Solutions Group is seeking Java Developers with ...

Programmers.io

Senior Java Developer

Chicago, IL · On-site

$59 - $75.25/hr

... Programming with Java 1.8, JUnit/Mockito, Spring Boot, MicroServices design, Maven, Tomcat ... data in your database, able to connect from application and integrate applications with DB.

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How much do java data engineer jobs pay per hour?

As of Jun 6, 2026, the average hourly pay for java data engineer in Oak Brook, IL is $60.98, according to ZipRecruiter salary data. Most workers in this role earn between $50.24 and $68.89 per hour, depending on experience, location, and employer.

What is a Java Data Engineer?

A Java Data Engineer is a technology professional who designs, develops, and maintains data processing systems using Java programming language. They work with large datasets, build data pipelines, and ensure the efficient movement, transformation, and storage of data. Java Data Engineers often collaborate with data scientists, analysts, and other engineers to support data-driven decision-making in organizations. Their expertise typically includes Java, SQL, big data technologies like Hadoop or Spark, and cloud platforms. They play a crucial role in enabling reliable and scalable data infrastructure for businesses.

What is the difference between Java Data Engineer vs Python Data Engineer?

AspectJava Data EngineerPython Data Engineer
Required CredentialsBachelor's in Computer Science, Java certificationsBachelor's in Computer Science, Python certifications
Work EnvironmentBig data platforms, Java-based toolsData analysis, scripting, Python-based tools
Employer & Industry UsageFinancial services, enterprise systemsTech startups, data science projects
Common Search & ComparisonYesYes

Java Data Engineers and Python Data Engineers often share similar roles in data processing and engineering. The main difference lies in the programming languages used: Java is common in large-scale enterprise environments, while Python is favored for data analysis and scripting. Both roles require strong programming skills, but their toolsets and typical applications differ based on industry needs.

What are the most common challenges faced by Java Data Engineers when working with large-scale data pipelines?

Java Data Engineers often encounter challenges with optimizing the performance and scalability of data pipelines, especially as data volumes grow. They must ensure data integrity and consistency while managing distributed systems and integrating with various data sources. Debugging issues in real-time data processing and maintaining efficient, fault-tolerant code are also key hurdles. Collaborating closely with data scientists, database administrators, and DevOps teams is essential to overcome these challenges and deliver reliable data solutions.

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

To thrive as a Java Data Engineer, you need strong programming skills in Java, a solid understanding of data structures, SQL, and experience with big data frameworks, often supported by a degree in computer science or a related field. Familiarity with data processing tools like Apache Spark, Hadoop, Kafka, and experience with cloud data platforms (e.g., AWS, GCP) or relevant certifications are typically required. Analytical thinking, problem-solving ability, and effective communication are crucial soft skills for collaborating with teams and interpreting data requirements. These capabilities are essential for building reliable, scalable data solutions that support business intelligence and analytics needs.
What are popular job titles related to Java Data Engineer jobs in Oak Brook, IL? For Java Data Engineer jobs in Oak Brook, IL, the most frequently searched job titles are:
What job categories do people searching Java Data Engineer jobs in Oak Brook, IL look for? The top searched job categories for Java Data Engineer jobs in Oak Brook, IL are:
What cities near Oak Brook, IL are hiring for Java Data Engineer jobs? Cities near Oak Brook, IL with the most Java Data Engineer job openings:
Java Data Engineer jobs near you
Cloud Data Platform Engineering Lead

Cloud Data Platform Engineering Lead

CME Group

Chicago, IL • Hybrid

Other

Medical, Retirement, PTO

Posted 26 days ago

Job description

Title: Cloud Data Platform Engineering Lead
Note: This position follows a hybrid work model, requiring 2 days per week on-site at our corporate office 20 S Wacker Dr, Chicago, IL 60606
The first preference for this role is given to local candidates in the Chicago area.
Job Summary
We are seeking a Senior Staff Engineer to architect and drive enterprise data solutions for CME on the Google Cloud Platform (Google Cloud Platform). This role requires a deep understanding of the end-to-end data ecosystem, including operational and analytical stores, AI/ML integration, data lifecycle management, compliance, cost optimization, and modern cloud-native tools. As a principal technical leader, you will provide the architectural vision and drive complex implementations, ensuring a seamless alignment between technical data strategies and overarching business objectives.
What You'll Get
  • A supportive environment fostering career progression, continuous learning, and an inclusive culture.
  • Broad exposure to CME's diverse products, asset classes, and cross-functional teams.
  • A competitive salary and comprehensive benefits package. Explore our full range of benefits .

What You'll Do
  • Architect Enterprise Solutions: Lead the design, architecture, and development of massive, enterprise-scale data solutions using the Google Cloud Platform suite (BigQuery, Dataflow, Cloud Storage, Pub/Sub, and Vertex AI) with a focus on performance and security.
  • Champion Cloud-Native Mastery : Drive the adoption of sophisticated workflows utilizing Kubernetes, Terraform, Kubernetes Configuration Controller (KCC), Argo Workflows, and CI/CD frameworks.
  • Integrate at Scale : Collaborate with cross-functional teams to bridge data workflows with operational and analytical stores, ensuring absolute system interoperability and reliability.
  • Innovate and Future-Proof : Constantly scout and adopt emerging Google Cloud Platform services and modern technologies to enhance our data capabilities and insulate the architecture against future shifts.
  • Govern with Integrity: Define and enforce robust strategies for the entire data lifecycle-from retention to disposal-strictly adhering to governance and regulatory standards.
  • Optimize the Platform : Spearhead enterprise-wide initiatives to optimize cloud costs, maximizing resource efficiency and eliminating waste without compromising high-performance metrics.
  • Set the Gold Standard : Establish best practices for data quality, metadata management, and lineage tracking to maintain a bulletproof data governance framework.
  • Mentor Engineering Talent : Provide principal-level technical mentorship, establishing coding best practices with a primary focus on robust Java development and Python to drive architectural excellence.
  • Engineer High-Throughput Pipelines : Architect and implement resilient data pipelines using Apache Spark, Apache Flink, and Google Dataflow, heavily leveraging Java frameworks and APIs.
  • Align with the Enterprise : Utilize a deep understanding of the SDLC and application stacks to ensure data initiatives are perfectly synchronized with broader enterprise systems.

What You'll Bring
  • Academic Foundation : Bachelor's or Master's degree in Computer Science, Information Systems, or a related technical field.
  • Architectural Depth : 10+ years of progressive software and data engineering experience, including 5+ years of hands-on experience designing large-scale Google Cloud Platform architectures.
  • Expert Programming : Expert-level proficiency in Java and extensive hands-on experience, coupled with strong proficiency in Python or similar languages.
  • Cloud-Native Expertise : Mastery of Kubernetes, Terraform, KCC, Argo Workflows, and CI/CD frameworks to guide implementation strategies.
  • Google Cloud Platform Specialization : Advanced knowledge of BigQuery, Cloud SQL, IAM, KMS, GKE, GCS, Pub/Sub, and Vertex AI .
  • Framework Fluency : Hands-on experience with large-scale processing frameworks like Apache Spark or Apache Flink, specifically within the Java ecosystem.
  • Analytical & Semantic Insight : A robust understanding of operational/analytical data stores and semantic layer design using tools like Looker or Tableau.
  • Governance Mastery : Strong knowledge of SDLC processes, data security, and comprehensive data lifecycle management.
  • Preferred Certifications : Google Cloud Professional Data Engineer or Cloud Architect certification is highly valued.

Key Competencies
  • Analytical Excellence : Relentless focus on scalability, fault-tolerance, and technical efficiency in solving complex problems.
  • Strategic Communication : Ability to engage effectively with both deep-technical engineering teams and high-level business stakeholders.
  • Influence Without Authority : Proven ability to guide and mentor cross-functional teams to deliver strategic technical outcomes without direct reporting lines.
  • Drive Engagement : A commitment to fostering a culture of technical rigor and continuous learning across the engineering organization.

#LI-DS2
CME Group is committed to offering a competitive total rewards package for our employees that recognizes their contributions to the business and reflects our long-term investment in their future. The pay range for this role is $138,800-$231,300. Actual salary offered will be dependent on a wide array of factors including but not limited to: relevant experience, skills, education and comparison to internal employees (where relevant). Our compensation program also includes an annual target bonus opportunity for all employees, as well as the opportunity to become an owner in the company through our broad-based equity program. Through our benefits program, we strive to offer flexibility, value and choice. From comprehensive health coverage, to a retirement package that includes both a 401(k) and an active pension plan, to highly competitive education reimbursement provisions, paid time off and a mental health benefit, CME Group offers a holistic benefits package for our team and their dependents.
CME Group: Where Futures are Made
CME Group is the world's leading derivatives marketplace. But who we are goes deeper than that. Here, you can impact markets worldwide. Transform industries. And build a career by shaping tomorrow. We invest in your success and you own it - all while working alongside a team of leading experts who inspire you in ways big and small. Problem solvers, difference makers, trailblazers. Those are our people. And we're looking for more.
At CME Group, we embrace our employees' unique experiences and skills to ensure that everyone's perspectives are acknowledged and valued. As an equal-opportunity employer, we consider all potential employees without regard to any protected characteristic.
Important Notice: Recruitment fraud is on the rise, with scammers using misleading promises of job offers and interviews to solicit money and personal information from job seekers. CME Group adheres to established procedures designed to maintain trust, confidence and security throughout our recruitment process. Learn more here .
CME Group logo

About CME Group

Sourced by ZipRecruiter

As the world’s leading derivatives marketplace, CME Group is where the world comes to manage risk. We enable clients to trade futures, options, cash and OTC markets, optimize portfolios, and analyze data – empowering market participants worldwide to efficiently manage risk and capture opportunities. CME Group exchanges offer the widest range of global benchmark products across all major asset classes based on interest rates, equity indexes, foreign exchange, energy, agricultural products and metals. We meet uncertainty and volatility with confidence and clarity, across the trading lifecycle and around the world.

Industry

Finance and insurance

Company size

1,001 - 5,000 Employees

Headquarters location

Chicago, IL, US

Year founded

2007

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