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Python Hadoop Data Engineer

Contract: Chicago, Illinois, US

Salary Range: 65.00 - 68.00 | Per Hour

Job Code: 366856

End Date: 2026-02-12

Days Left: 28 days, 13 hours left

Job Title: Senior Python Hadoop Data Engineer

Location: Chicago, IL or Denver, CO
Work Arrangement: Onsite
Client Industry: Fortune 500 Financial Services Client
Duration: 12 Months Contract
Schedule: Monday to Friday, 8:00 AM – 5:00 PM (Local Time)

About the Role

We are hiring a Senior Python Hadoop Data Engineer to join our client’s Data Engineering team on a contract basis. This is an excellent opportunity to work on large-scale data platforms supporting critical business operations. The role is highly hands-on and development-focused, with a strong emphasis on Python and big data technologies.

Key Responsibilities

  • Design, develop, and maintain Python-based data pipelines on Hadoop platforms

  • Work with large-scale datasets using Hadoop, HDFS, and Spark

  • Build and enhance batch and near-real-time data processing solutions

  • Develop and maintain applications and services using Python and PHP

  • Collaborate with cross-functional teams to understand data requirements and deliver scalable solutions

  • Optimize data workflows for performance, reliability, and scalability

  • Participate in code reviews and follow best practices for software development

What We’re Looking For

  • 5+ years of experience as a Data Engineer, Big Data Engineer, or Hadoop Developer

  • Strong hands-on Python development experience (primary skill)

  • Solid experience working with Hadoop ecosystem technologies (HDFS, Spark, MapReduce)

  • Working knowledge of PHP

  • Strong understanding of data engineering concepts, including data ingestion and transformation

  • Experience building solutions through actual coding and development, not just tool usage

  • Strong problem-solving skills and ability to work independently in a fast-paced environment

Compensation

Hourly Rate: $65.00 – $68.00 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 sick and safe time, paid vacation time, 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.


Ready to Apply?

Apply now or reach out to Tanupriya Ganguly for more information. We look forward to speaking with you!

Job Requirement
  • Python
  • Hadoop
  • PHP
  • Data Engineer
Reach Out to a Recruiter
  • Recruiter
  • Email
  • Phone
  • Tanupriya Ganguly
  • tanupriya.ganguly@collabera.com
Apply Now
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