

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
-
💰 - Day rate
544
-
🗓️ - Date
January 29, 2026
🕒 - Duration
More than 6 months
-
🏝️ - Location
On-site
-
📄 - Contract
1099 Contractor
-
🔒 - Security
Unknown
-
📍 - Location detailed
Chicago, IL
-
🧠 - 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.
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.






