Cliff Services Inc
Sr. Data Engineer (Scala)
⭐ - Featured Role | Apply direct with Data Freelance Hub
This role is for a Sr. Data Engineer (Scala) in Charlotte, NC, on a long-term contract. Requires 7+ years of experience, strong Scala and Spark skills, ETL development, and SQL proficiency. On-site work; open to all work-authorized candidates.
🌎 - Country
United States
💱 - Currency
$ USD
-
💰 - Day rate
520
-
🗓️ - Date
July 22, 2026
🕒 - Duration
More than 6 months
-
🏝️ - Location
On-site
-
📄 - Contract
W2 Contractor
-
🔒 - Security
Unknown
-
📍 - Location detailed
Charlotte, NC
-
🧠 - Skills detailed
#HDFS (Hadoop Distributed File System) #Hadoop #Data Engineering #Apache Spark #GIT #PySpark #Data Processing #Spark (Apache Spark) #Data Pipeline #Agile #"ETL (Extract #Transform #Load)" #Scala #SQL (Structured Query Language)
Role description
Position: Data Engineer (Scala) Senior
Location: Charlotte, NC
Employment Type: Cliff W2
Duration: Long-Term Contract
Visa: Open to all work-authorized candidates.
Required Skills
• Strong hands-on experience with Scala (Mandatory)
• Apache Spark using Scala (Not PySpark)
• Strong SQL skills
• ETL/Data Pipeline development
• Hadoop ecosystem (Hive/HDFS) is a plus
• Experience with Git and Agile methodologies
Senior Candidates
• 7+ years of Data Engineering experience
• Strong expertise in Scala, Spark, and large-scale data processing
• Performance tuning and data pipeline optimization
• Ability to mentor junior team members
Note: Candidates with only PySpark experience and no hands-on Scala experience will not be considered.
Position: Data Engineer (Scala) Senior
Location: Charlotte, NC
Employment Type: Cliff W2
Duration: Long-Term Contract
Visa: Open to all work-authorized candidates.
Required Skills
• Strong hands-on experience with Scala (Mandatory)
• Apache Spark using Scala (Not PySpark)
• Strong SQL skills
• ETL/Data Pipeline development
• Hadoop ecosystem (Hive/HDFS) is a plus
• Experience with Git and Agile methodologies
Senior Candidates
• 7+ years of Data Engineering experience
• Strong expertise in Scala, Spark, and large-scale data processing
• Performance tuning and data pipeline optimization
• Ability to mentor junior team members
Note: Candidates with only PySpark experience and no hands-on Scala experience will not be considered.
