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

Tredence Analytic

Data Engineer

Chicago, IL

$118K - $141K/yr

HDFS, Cassandra, Spark, Java, Scala, Informatica, SQL Server, Oracle, Ab Initio, Kafka. Qualifications * Bachelor's degree in Data Engineering, Big Data Analytics, Computer Engineering, or related ...

Tredence Analytic

Data Engineer

Chicago, IL · On-site

$118K - $141K/yr

HDFS, Cassandra, Spark, Java, Scala, Informatica, SQL Server, Oracle, Ab Initio, Kafka. Qualifications * Bachelor's degree in Data Engineering, Big Data Analytics, Computer Engineering, or related ...

IMC

Data Engineer

Chicago, IL

$118K - $141K/yr

We are seeking a dedicated and experienced Data Engineer to join our Chicago team. The ideal ... Build, deploy, and monitor our data processing pipelines (Java, Python, Spark, Flink) * Collaborate ...

IMC Trading

Data Engineer

Chicago, IL · On-site

$118K - $141K/yr

They are seeking a dedicated and experienced Data Engineer to architect and develop their Big Data ... pipelines (Java, Python, Spark, Flink) • Collaborate with development teams on data modeling ...

IMC

Data Engineer

Chicago, IL · On-site

$175K - $225K/yr

We are seeking a dedicated and experienced Data Engineer to join our Chicago team. The ideal ... Build, deploy, and monitor our data processing pipelines (Java, Python, Spark, Flink) * Collaborate ...

IMC

Data Engineer

Chicago, IL · On-site

$175K - $225K/yr

We are seeking a dedicated and experienced Data Engineer to join our Chicago team. The ideal ... Build, deploy, and monitor our data processing pipelines (Java, Python, Spark, Flink) * Collaborate ...

LiniumIT

Big Data Engineer

Chicago, IL · On-site

$57.50 - $76/hr

Full stack Java developer * Hands on experience in building production applications using Node.js and React Environment History of Project: * Cross Asset Query Tool - will bring low latency query ...

LiniumIT

Big Data Engineer

Chicago, IL · On-site

$57.50 - $76/hr

Full stack Java developer * Hands on experience in building production applications using Node.js and React Environment History of Project: * Cross Asset Query Tool will bring low latency query ...

LiniumIT

Big Data Engineer

Chicago, IL · On-site

$57.50 - $76/hr

Full stack Java developer * Hands on experience in building production applications using Node.js and React Environment History of Project: * Cross Asset Query Tool - will bring low latency query ...

Comtech, LLC

Java Developer - Lead

Chicago, IL

Excellent knowledge in Core Java (Data Structures, Algorithms, I/O, NIO, Multi-Threading ) * Excellent knowledge of Spring Framework (Spring Boot, Spring MVC, Spring Integration & Spring batch are ...

Dlapiper

Data Engineer

Chicago, IL · On-site

$118K - $141K/yr

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 ...

Capital One

Lead Data Engineer

Chicago, IL

$118K - $141K/yr

Utilize programming languages like Java, Scala, Python and Open Source RDBMS and NoSQL databases and Cloud based data warehousing services such as Redshift and Snowflake * Share your passion for ...

Capital One

Lead Data Engineer

Chicago, IL

$118K - $141K/yr

Utilize programming languages like Java, Scala, Python and Open Source RDBMS and NoSQL databases and Cloud based data warehousing services such as Redshift and Snowflake * Share your passion for ...

Fitch Group

Principal Data Engineer

Chicago, IL · On-site

$118K - $141K/yr

Fitch Group is currently seeking a Lead/Principal Data Engineer based out of our Chicago office. As ... Expert-level proficiency in Java, Springboot for building cloud-native data processing solutions ...

Fitch Solutions

Principal Data Engineer

Chicago, IL

$118K - $141K/yr

Fitch Group is currently seeking a Lead/Principal Data Engineer based out of our Chicago office. As ... Expert-level proficiency in Java, Springboot for building cloud-native data processing solutions ...

Capital One

Lead Data Engineer

Chicago, IL

$118K - $141K/yr

Utilize programming languages like Java, Scala, Python and Open Source RDBMS and NoSQL databases and Cloud based data warehousing services such as Redshift and Snowflake * Share your passion for ...

Capital One

Lead Data Engineer

Chicago, IL · On-site

$118K - $141K/yr

Utilize programming languages like Java, Scala, Python and Open Source RDBMS and NoSQL databases and Cloud based data warehousing services such as Redshift and Snowflake * Share your passion for ...

Capital One

Lead Data Engineer

Chicago, IL · On-site

$118K - $141K/yr

Utilize programming languages like Java, Scala, Python and Open Source RDBMS and NoSQL databases and Cloud based data warehousing services such as Redshift and Snowflake * Share your passion for ...

Capital One

Lead Data Engineer

Chicago, IL · On-site

$118K - $141K/yr

Utilize programming languages like Java, Scala, Python and Open Source RDBMS and NoSQL databases and Cloud based data warehousing services such as Redshift and Snowflake * Share your passion for ...

Capital One

Lead Data Engineer

Chicago, IL · On-site

$118K - $141K/yr

Utilize programming languages like Java, Scala, Python and Open Source RDBMS and NoSQL databases and Cloud based data warehousing services such as Redshift and Snowflake * Share your passion for ...

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All JobsJava Data Engineer JobsJava Data Engineer Jobs in Oak Brook, IL

Java Data Engineer information

See Oak Brook, IL salary details

$26

$60

$86

How much do java data engineer jobs pay per hour?

As of Jul 28, 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

Data Engineer

Tredence Analytic

Chicago, IL

$118K - $141K/yr

Full-time

Posted 7 days ago

Job description

Company Description

Tredence is a global analytics services and solutions company. Our capabilities range from Data Engineering, Visualization, Data Management to Advanced analytics, Big Data, Cloud and Machine Learning. Our uniqueness is in bringing the right mix of technology and business analytics to create sustainable white-box solutions that are transitioned to our clients at the end of the engagement. We do this cost effectively using a global execution model leveraging our clients' existing technology and data assets. We also come in with strong IP and pre-built analytics solutions in data mining, business intelligence and Big Data.

Job Description

We are searching for an accountable, multitalented Data Engineer to facilitate the operations of our Data Scientists. The ideal candidate will be responsible for employing machine learning techniques to create and sustain structures that allow for the analysis of data, while remaining familiar with dominant programming and deployment strategies in the field. During various aspects of this process, you should collaborate with coworkers to ensure that your approach meets the needs of each project.

To ensure success as a Data Engineer, you should demonstrate flexibility, creativity, and the capacity to receive and utilize constructive criticism. A formidable Data Engineer will demonstrate unsatiated curiosity and outstanding interpersonal skills.

Essential Responsibilities

  • Design, develop, document, and test advanced data systems that bring together data from disparate sources, making it available to data scientists, analysts, and other users using scripting and/or programming languages (Python, Java, C, etc)
  • Evaluate structured and unstructured datasets utilizing statistics, data mining, and predictive analytics to gain additional business insights
  • Design, develop, and implement data processing pipelines at scale
  • Present programming documentation and design to team members and convey complex information in a clear and concise manner.
  • Extract data from multiple sources, integrate disparate data into a common data model, and integrate data into a target database, application, or file using efficient programming processes.
  • Write and refine code to ensure performance and reliability of data extraction and processing.
  • Communicate with all levels of stakeholders as appropriate, including executives, data modelers, application developers, business users, and customers
  • Participate in requirements gathering sessions with business and technical staff to distill technical requirements from business requests.
  • Partner with clients to fully understand business philosophy and IT Strategy; recommend process improvements to increase efficiency and reliability in ETL development.
  • Collaborate with Quality Assurance resources to debug code and ensure the timely delivery of products.
  • Some of our technologies might include: HDFS, Cassandra, Spark, Java, Scala, Informatica, SQL Server, Oracle, Ab Initio, Kafka.
    Qualifications
    • Bachelor's degree in Data Engineering, Big Data Analytics, Computer Engineering, or related field.
    • At least 3 years of proven experience as a Data Engineer.
    • Expert proficiency in Python, C++, Java, R, and SQL.
    • Familiarity with Hadoop or suitable equivalent.
    • Excellent analytical and problem-solving skills.
    • A knack for independent and group work.
    • Scrupulous approach to duties.
    • Capacity to successfully manage a pipeline of duties with minimal supervision.
    Additional Information

    All your information will be kept confidential according to EEO guidelines.

    Apply