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Hadoop Data Engineer

Contract: Charlotte, North Carolina, US

Salary Range: 60.00 - 63.00 | Per Hour

Job Code: 369348

End Date: 2026-06-12

Days Left: 28 days, 15 hours left

Job Title: Hadoop Data Engineer

Location: Chicago, Denver, Jacksonville, Charlotte, Addison

Work Arrangement: Onsite from Day 1

Client Industry: Banking

Duration:12-18 Months (Possibility of Full-Time Conversion)

 

About the Role:

We are actively looking for an experienced Hadoop Data Engineer to join a high-performing enterprise data engineering team. The ideal candidate will have strong expertise in Big Data technologies, distributed systems, and building scalable batch and near real-time data pipelines.

 

What We’re Looking For:

  • Strong hands-on experience with Hadoop and Big Data ecosystems
  • Expertise in Spark Structured Streaming and Apache Spark
  • Strong SQL skills with Hive, Impala, MySQL, or Spark SQL
  • Experience with Kafka, Sqoop, MapReduce, HDFS, HBase, SOLR
  • Experience working with Cloudera/Hortonworks platforms (CDP/HDP)
  • Knowledge of Elastic Search and Kibana is a plus
  • Strong programming experience in Scala, Python, or PHP
  • Experience working in distributed systems and large-scale data environments

 

Responsibilities

  • Design, develop, and maintain batch and near real-time data pipelines using Spark Structured Streaming, MapReduce, and Hadoop technologies
  • Ingest data from multiple sources including Kafka/message queues, REST APIs, relational databases, and file systems
  • Transform, validate, and process large datasets using Hive, Impala, Spark SQL, and HDFS
  • Work with structured and semi-structured data formats such as JSON, CSV, and XML
  • Perform data profiling, validation, and troubleshooting for Spark applications and SQL jobs
  • Optimize data processing workflows and resolve performance bottlenecks in distributed environments

Compensation:

Hourly Rate: $60 – $65 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 mritunjay.kumar@collabera.com at 973 381 7213 for more information. We look forward to speaking with you!

 

 

Job Requirement
  • Apache Spark & Spark Structured Streaming
  • Hadoop Ecosystem
  • Kafka & Data Ingestion Pipelines
  • Strong SQL
  • Scala/Python Programming Skills
Reach Out to a Recruiter
  • Recruiter
  • Email
  • Phone
  • Mritunjay Kumar
  • mritunjay.kumar@collabera.com
  • 9733817213
Apply Now
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