Data Engineer

Description

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Data Engineer

Contract: Chicago, Illinois, US

Salary Range: 72.00 - 73.00 | Per Hour

Job Code: 369276

End Date: 2026-06-10
Days Left: 3 days, 22 hours left

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Job Title: Data Engineer
Location: Chicago, IL; Denver, CO; Jacksonville, FL; Charlotte, NC
Work Arrangement: Fully Onsite
Client Industry: Enterprise BFSI client
Duration: 12+ Months Contract
Schedule: Monday to Friday, Standard working hours

About the Role:

You will work closely with cross-functional teams to design, develop, and optimize scalable data pipelines that process large volumes of structured and semi-structured data from multiple enterprise sources. The ideal candidate brings strong experience in Hadoop ecosystems, Spark Structured Streaming, SQL optimization, and distributed data processing technologies.

This is a high-impact role where you will contribute directly to critical security and vulnerability management initiatives by enabling reliable, high-quality data processing and analytics capabilities.

Top Three skills:

• Advanced SQL & Distributed Data Processing (Spark SQL, Hive, Impala)
• Spark Structured Streaming & Real-Time Data Pipeline Development
• Hadoop Ecosystem & Big Data Technologies (Kafka, Hive, HBase, MapReduce, Cloudera)

What We're Looking For :

• Strong SQL expertise with technologies such as Hive, Impala, MySQL, or Spark SQL
• Hands-on experience with Spark Structured Streaming and distributed data processing
• Experience working within Hadoop/Big Data ecosystems
• Strong experience with tools and technologies such as Spark, Kafka, Sqoop, MapReduce, HBase, SOLR, ElasticSearch, Kibana, Cloudera/CDP/Hortonworks
• Experience building ingestion pipelines from APIs, message queues, relational databases, and file systems
• Proficiency in at least one programming language: Scala, Python, or PHP

Qualification:

• Recent experience supporting U.S.-based clients or enterprise environments within the last 5 years is highly preferred.

Compensation:

Hourly Rate: $72 - $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 on View email address on click.appcast.io or View phone number on click.appcast.io

Job Requirement

• Sql
• Distributed Data Processing
• SQL Performance Tuning
• Advanced SQL
• Real-Time Data Pipeline Development
• Big Data Technologies
• Hadoop Ecosystem
• MapReduce
• Spark
• Spark SQL
• SOLR
• ElasticSearch
• Hortonworks
• hive
• impala
• hbase
• hadoop
• cloudera
• big data

Reach Out to a Recruiter

• Recruiter
• Email
• Phone
• Shivani Soni
• View email address on click.appcast.io

Apply Now