Collabera

Data Engineer

⭐ - Featured Role | Apply direct with Data Freelance Hub
This role is for a Hadoop Data Engineer in Chicago, IL, on a 12-month contract at $70-$73 per hour. Key skills include strong SQL proficiency, data ingestion experience, and familiarity with Spark, Hadoop, and NoSQL databases.
🌎 - Country
United States
💱 - Currency
$ USD
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💰 - Day rate
544
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🗓️ - Date
January 29, 2026
🕒 - Duration
More than 6 months
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🏝️ - Location
On-site
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📄 - Contract
1099 Contractor
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🔒 - Security
Unknown
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📍 - Location detailed
Chicago, IL
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🧠 - Skills detailed
#PHP #Kafka (Apache Kafka) #API (Application Programming Interface) #Programming #Data Framework #HDFS (Hadoop Distributed File System) #SQL (Structured Query Language) #Cloud #Sqoop (Apache Sqoop) #Data Engineering #HBase #REST API #Python #Data Pipeline #Batch #Big Data #Spark SQL #XML (eXtensible Markup Language) #Base #NoSQL #"ETL (Extract #Transform #Load)" #Hadoop #REST (Representational State Transfer) #Databases #Scala #Spark (Apache Spark) #Data Integrity #MySQL #Impala #Data Ingestion #JSON (JavaScript Object Notation) #Cloudera
Role description
Job Title: Hadoop Data Engineer Location: Chicago, IL Work Arrangement: 5 Day onsite Client Industry: Banking Duration: 12 Months Contract About the Role We are hiring a Hadoop Data Engineer to join our client’s Team on a contract basis. This is a fantastic opportunity to work with one of the most innovative banking companies in the U.S. What We’re Looking For • 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, 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. Compensation Hourly Rate: $70 - $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 or reach out to [Recruiter Name] at [Contact Info] for more information. We look forward to speaking with you! 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.