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Data Engineer

Contract: chicago, Illinois, US

Salary Range: 65.00 - 68.00 | Per Hour

Job Code: 367237

End Date: 2026-03-01

Days Left: 25 days, 1 hours left

 

Job Title: Hadoop Data Engineer

Location: Chicago, IL
Work Arrangement: 5 Day onsite
Client Industry: Banking
Duration: 12 Months Contract

 

About the Role

We are hiring a Hadoop Data Engineer to join our client’s Team on a contract basis. This is a fantastic opportunity to work with one of the most innovative banking companies in the U.S. 

 

What We’re Looking For

  • Strong SQL Skills – one or more of MySQL, HIVE, Impala, SPARK SQL
  • Data ingestion experience from message queue, file share, REST API, relational database, etc. and experience with data formats like json, csv, xml
  • Experience working with SPARK Structured steaming
  • Experience working with Hadoop/Big Data and Distributed Systems
  • Working experience with Spark, Sqoop, Kafka, MapReduce, NoSQL Database like HBase, SOLR, CDP or HDP, Cloudera or Hortonworks, Elastic Search, Kibana, etc.
  • Hands on programming experience in at least one of Scala, Python, PHP,

Day To Day:

  • Design, develop, and maintain batch and near-real-time data pipelines using Spark Structured Streaming, MapReduce, and other Big Data frameworks.

  • Ingest data from multiple sources such as message queues (Kafka), file shares, REST APIs, and relational databases.

  • Transform, clean, and validate data in HDFS, Hive, Impala, or Spark SQL.

  • Convert and manage data in formats like JSON, CSV, XML to support downstream analytics.

  • Perform data validation, profiling, and analysis to identify anomalies and ensure data integrity.

  • Troubleshoot issues in data pipelines, SQL jobs, or Spark applications, including slow-running jobs or failures.

Compensation

Hourly Rate: $70 – $73 per hour 
This range reflects base compensation and may vary based on location, market conditions, experience, and candidate qualifications.

 

Benefits: 
The Company offers the following benefits for this position, subject to applicable eligibility requirements: medical insurance, dental insurance, vision insurance, 401(k) retirement plan, life insurance, long-term disability insurance, short-term disability insurance, paid parking/public transportation, (paid time, paid sick and safe time, hours of paid vacation time, weeks of paid parental leave, paid holidays annually - AS Applicable)
 

About Us

At Collabera, we don’t just offer jobs—we build careers. As a global leader in talent solutions, we provide opportunities to work with top organizations, cutting-edge technologies, and dynamic teams. Our culture thrives on innovation, collaboration, and a commitment to excellence. With continuous learning, career growth, and a people-first approach, we empower you to achieve your full potential. Join us and be part of a company that values passion, integrity, and making an impact. 

 

Ready to Apply?

Apply now or reach out to [Recruiter Name] at [Contact Info] for more information. We look forward to speaking with you!

 

The Company offers the following benefits for this position, subject to applicable eligibility requirements: medical insurance, dental insurance, vision insurance, 401(k) retirement plan, life insurance, long-term disability insurance, short-term disability insurance, paid parking/public transportation, paid time off, paid sick and safe time, hours of paid vacation time, weeks of paid parental leave, and paid holidays annually – as applicable.

Job Requirement
  • Hadoop
  • Spark
  • Python
Reach Out to a Recruiter
  • Recruiter
  • Email
  • Phone
  • Abhishek Tomar
  • abhishek.tomar@collabera.com
  • 2145257122
Apply Now
Apply Now
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