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Hadoop Python Data Engineer
Contract: Washington, Washington DC, US span>
Salary Range: 64.00 - 65.00 | Per Hour
Job Code: 367605
End Date: 2026-03-19
Days Left: 28 days, 23 hours left
Job Title: Hadoop Data Engineer
Location: Chicago, IL/Denver, CO/Washington, DC
Work Arrangement: Fully Onsite
Client Industry: Enterprise BFSI client
Duration: 18+ Months Contract
Schedule: Monday to Friday, Standard working hours
About the Role:
Seeking a highly skilled Data Engineer (hadoop plus python) to join the client in Chicago or Denver or Washington. This is a 100% onsite role supporting critical data ingestion, pipeline development, and performance optimization initiatives in a secure banking environment.
Top Three skills:
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Python-Based Data Pipeline Engineering
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Building production-grade pipelines
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Performance tuning, memory management, error handling
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Batch & near-real-time processing
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Hadoop Ecosystem Expertise
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Strong understanding of HDFS, YARN, MapReduce
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Distributed processing with Spark/Hive
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Scalable and reliable data workflows
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Custom Data Ingestion & Integration
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Designing ingestion from APIs, queues, DBs, files
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Kafka & message-driven architectures
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PHP-based data services & integration endpoints
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What We’re Looking For:
· Design, develop, and maintain data pipelines primarily using Python, writing production-grade code to ingest, process, and move large-scale datasets across distributed environments.
· Build and enhance data processing workflows on Hadoop-based platforms, leveraging a strong understanding of Hadoop architecture (HDFS, YARN, MapReduce) to ensure scalability, reliability, and performance.
· Develop custom data ingestion and transformation logic, rather than relying solely on prebuilt tools, to support batch and near-real-time processing requirements.
· Write, maintain, and optimize Python code for distributed data processing, including performance tuning, memory management, and error handling in large data environments.
· Contribute hands-on code in PHP to support data services, ingestion endpoints, or integration layers that interact with data pipelines or upstream/downstream system
Compensation:
Hourly Rate: $63 – $64 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 on shivani.soni@collabera.com/973-841-2468
Note: we are looking for python programming with data integration rather than ETL Tooling.
Job Requirement
- python programming
- data integration
- hadoop
- hadoop python
- Design develop maintain data pipelines primarily using Python
- data processing workflows on Hadoop-based platforms
- Develop custom data ingestion
- Write maintain optimize Python code
- Contribute hands-on code in PHP to support data services
- Data Pipeline Engineering
Reach Out to a Recruiter
- Recruiter
- Phone
- Shivani Soni
- shivani.soni@collabera.com