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Data Engineer Developer Operations Jobs in Chicago, IL

Data Engineer

Chicago, IL · On-site

$118K - $141K/yr

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 ...

Data Engineer

Chicago, IL

$118K - $141K/yr

Together. Summary The Data Engineer, Solutions & Data role designs, builds, and operates data ... Data Quality, Reliability & Operations * Identify, troubleshoot, and resolve data issues including ...

Lead DevOps Engineer

Chicago, IL · On-site

$54.50 - $74.50/hr

SQL, NoSQL, and in-memory data stores * Development experience with Java, Python, Scala, or Golang ... DevOps, SRE, or Platform Engineering environments * Experience working in fast-paced, highly ...

Lead DevOps Engineer

Chicago, IL · On-site

$54.25 - $74.50/hr

Lead DevOps Engineer Location: Chicago, IL (Hybrid) Employment Type: Full-Time Overview A financial ... Experience implementing automated testing within CI/CD pipelines Data & Monitoring Technologies

DevOps Engineer

Chicago, IL

$54.50 - $74.50/hr

Job Advertisement -DevOps Engineer Company Overview: We are a fastgrowing technology company focused on delivering reliable, scalable, and secure cloudnative applications to enterprise clients. Our ...

Junior SRE/DevOps Engineer

Chicago, IL · On-site

$60K - $70K/yr

As a DevOps Engineer, you will work to automate processes, monitor systems, and assist with ... data, combined with its deep industry expertise and partner ecosystem.

Data Engineer

Chicago, IL · On-site

$118K - $141K/yr

As a Data Engineer, you will develop Python data pipelines and work on complex application problems ... Azure Devops etc. • Experience with AWS components such as Lambda, Kinesis, Event Bridge ...

DevOps Engineer

Chicago, IL · On-site

$54.25 - $74.50/hr

Senior DevOps Engineer Location: Chicago, IL (Hybrid) Employment Type: Full-Time Overview A financial services organization in Chicago, is seeking a Senior DevOps Engineer to support the development ...

Data Analytics Engineer

Chicago, IL · On-site

$118K - $141K/yr

Candidate will join a team supporting the design and implementation of cloud infrastructure for internal analytics zone in collaboration with the Data Platform team, data architects, DevOps, and IT.

Sr Databricks Data Engineer

Chicago, IL

$118K - $141K/yr

Initiate and manage efforts to improve data quality, operational efficiency, and process ... Oversee the implementation of CI/CD practices with tools such as Azure DevOps, AWS Code Pipeline ...

Data Engineer

Chicago, IL · On-site

$165K - $175K/yr

Data Engineer Boston, Massachusetts, United States Job Openings Data Engineer Job Title: Data Engineer - AI Platform Location: Boston, Chicago, New York City, San Francisco, Silicon Valley ...

Data Engineer

Downers Grove, IL · On-site

$114K - $137K/yr

... and operational efficiency. Critical Job Functions: * Design, develop, and optimize ETL/ELT ... Developer, or similar role with hands-on Microsoft BI stack. * Strong SQL proficiency: Expert in ...

Data Engineer

Lisle, IL · On-site

$112K - $135K/yr

Support Data Engineering initiatives across two Data Engineering Teams: * Prospect Team * Student Team Contribute to stabilizing and scaling the Data Engineering organization Top 3 Requirements:

Data Engineer

Downers Grove, IL

$114K - $137K/yr

... and operational efficiency. Critical Job Functions: * Design, develop, and optimize ETL/ELT ... Developer, or similar role with hands-on Microsoft BI stack. * Strong SQL proficiency: Expert in ...

Data Engineer

Downers Grove, IL

$114K - $137K/yr

... and operational efficiency. Critical Job Functions: * Design, develop, and optimize ETL/ELT ... Developer, or similar role with hands-on Microsoft BI stack. * Strong SQL proficiency: Expert in ...

Data Engineer

Downers Grove, IL · On-site

$114K - $137K/yr

... and operational efficiency. Critical Job Functions: * Design, develop, and optimize ETL/ELT ... Developer, or similar role with hands-on Microsoft BI stack. * Strong SQL proficiency: Expert in ...

DEVOPS

Chicago, IL · On-site

$54.50 - $74.50/hr

... Engineer Healthcare (2 3 Years Experience) Company: AaraTech Inc About the Role We are seeking a DevOps Engineer Healthcare (2 3 years experience) to support cloud infrastructure, CI/CD pipelines ...

Data Engineer

Chicago, IL · On-site

$118K - $141K/yr

Role : Data Engineer Location : Chicago, IL (3days onsite) Experience : Min. 10+ Years Client ... Mandatory Skills :- * 10+ years of experience as a Database Developer or similar role. * Strong ...

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Data Engineer Developer Operations information

See Chicago, IL salary details

$45.8K

$133.6K

$182.9K

How much do data engineer developer operations jobs pay per year?

As of Jun 25, 2026, the average yearly pay for data engineer developer operations 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.

$118K - $141K/yr

Full-time

Posted 4 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.
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