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Executive Java Swing Developer Jobs in Chicago, IL

Tredence Analytic

Data Engineer

Chicago, IL · On-site

$118K - $141.80K/yr

Communicate with all levels of stakeholders as appropriate, including executives, data modelers ... HDFS, Cassandra, Spark, Java, Scala, Informatica, SQL Server, Oracle, Ab Initio, Kafka.

Databricks

Sr. Solutions Engineer - Hunter Team

Chicago, IL · On-site

$57 - $73.50/hr

The Sr. Solutions Engineer will work with the Enterprise Account Executive to define and direct the ... Java Preferred : • Nice to have: Databricks, Snowflake, AWS or Azure Certification Company

Meds

Senior Software Engineer

Chicago, IL

$126.20K - $166.40K/yr

Azure DevOps Notable Projects & Accomplishments * Telemedicine Platform: Proprietary system with ... Examples are TypeScript, Javascript, Python, Go, C++, Java, etc Ideal Profile * Has written lots of ...

Meds

Senior Software Engineer

Chicago, IL · On-site

$126.20K - $166.40K/yr

Azure DevOps Notable Projects & Accomplishments * Telemedicine Platform: Proprietary system with ... Examples are TypeScript, Javascript, Python, Go, C++, Java, etc Ideal Profile * Has written lots of ...

Databricks

Solutions Engineer

Chicago, IL · On-site

... Account Executives. • Operate as an expert in big data analytics to excite customers about ... Java, or Scala, and proficiency in SQL. • Experience with Big Data technologies (Ex: Spark ...

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How much do executive java swing developer jobs pay per hour?

As of May 30, 2026, the average hourly pay for executive java swing developer in Chicago, IL is $58.41, according to ZipRecruiter salary data. Most workers in this role earn between $50.53 and $65.38 per hour, depending on experience, location, and employer.
What are the most commonly searched types of Java Swing Developer jobs in Chicago, IL? The most popular types of Java Swing Developer jobs in Chicago, IL are:
Executive Java Swing Developer jobs near you

Data Engineer

Tredence Analytic

Chicago, IL • On-site

$118K - $141.80K/yr

Full-time

Posted 9 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.
Videos To Watch
https://www.youtube.com/watch?v=oPAB0-RJR5g
https://www.youtube.com/watch?v=WbgJ0XsffY8

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