Redolent, Inc
Python Data Engineer | Big Data & Spark | Onsite Interview | W2 Only
⭐ - Featured Role | Apply direct with Data Freelance Hub
This role is for a Python Data Engineer with 9+ years of experience, focusing on Big Data and Spark. Contract length is 12+ months, with a pay rate of "W2 only" and onsite work in "Charlotte, NC | Denver, CO | Jacksonville, FL | Chicago, IL". Key skills include SQL, Spark, and data ingestion.
🌎 - Country
United States
💱 - Currency
$ USD
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💰 - Day rate
584
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🗓️ - Date
May 21, 2026
🕒 - Duration
More than 6 months
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🏝️ - Location
On-site
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📄 - Contract
W2 Contractor
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🔒 - Security
Unknown
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📍 - Location detailed
Charlotte, NC
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🧠 - Skills detailed
#MySQL #Hadoop #Cloud #Programming #Data Ingestion #Spark SQL #Kafka (Apache Kafka) #Scripting #Impala #Sqoop (Apache Sqoop) #Cloudera #Spark (Apache Spark) #PHP #Python #NoSQL #SQL (Structured Query Language) #Linux #Data Engineering #JSON (JavaScript Object Notation) #Scala #Unix #Databases #Elasticsearch #Shell Scripting #Big Data #HBase #XML (eXtensible Markup Language)
Role description
Locations: Charlotte, NC | Denver, CO | Jacksonville, FL | Chicago, IL
Duration: 12+ Months
Employment Type: W2 Contract
Work Model: Onsite – 5 Days a Week
9+ years of experience as a Data Engineer or Big Data Engineer
Strong SQL experience with MySQL, Hive, Impala, and Spark SQL
Experience handling data ingestion and data formats such as JSON, CSV, and XML
Strong hands-on experience with Spark Structured Streaming, Hadoop, and distributed systems
Experience with Spark, Sqoop, Kafka, MapReduce, and NoSQL databases such as HBase and Solr
Experience working with CDP/HDP platforms including Cloudera or Hortonworks
Hands-on experience with ElasticSearch and Kibana
Programming experience in Scala, Python, PHP, or Shell Scripting
Strong Linux/Unix operating system experience
Locations: Charlotte, NC | Denver, CO | Jacksonville, FL | Chicago, IL
Duration: 12+ Months
Employment Type: W2 Contract
Work Model: Onsite – 5 Days a Week
9+ years of experience as a Data Engineer or Big Data Engineer
Strong SQL experience with MySQL, Hive, Impala, and Spark SQL
Experience handling data ingestion and data formats such as JSON, CSV, and XML
Strong hands-on experience with Spark Structured Streaming, Hadoop, and distributed systems
Experience with Spark, Sqoop, Kafka, MapReduce, and NoSQL databases such as HBase and Solr
Experience working with CDP/HDP platforms including Cloudera or Hortonworks
Hands-on experience with ElasticSearch and Kibana
Programming experience in Scala, Python, PHP, or Shell Scripting
Strong Linux/Unix operating system experience
