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Hadoop Data engineer

Contract: Chicago, Illinois, US

Salary Range: 60.00 - 65.00 | Per Hour

Job Code: 366363

End Date: 2026-01-14

Days Left: 28 days, 17 hours left

Job Title: Hadoop data engineer

Location: Chicago, IL
Work Arrangement: Onsite 
Client Industry: Financial Services
Duration: 12 Months Contract
Schedule: Standard Hours( Monday - Friday, 8 AM to 5 PM)

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.

Must Haves:

  • 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,

Plusses:

  • Prior Bank Experience
  • Experience in Service Now

Compensation

  • Hourly Rate: $60 - $65 per hour
    This reflects base compensation and may vary based on 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 off, paid sick and safe time, hours of paid vacation time, weeks of paid parental leave, and 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.

Job Requirement
  • Hadoop
  • Kafka
  • spark
  • Cloudera
Reach Out to a Recruiter
  • Recruiter
  • Email
  • Phone
  • Dharamveer Kushwah
  • dharamveer.kushwah@collabera.com
Apply Now
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