Refer a freelancer, and you both get 1 free week of DFH Premium. They must use your code {code} at sign-up. More referrals = more free weeks! T&Cs apply.
1 of 5 free roles viewed today. Upgrade to premium for unlimited.

Data Engineer 25-11639

This role is for a Data Engineer in Charlotte, NC, hybrid (3 days/week onsite), lasting 12 months. Key requirements include 5+ years in data engineering, expertise in Hadoop, SQL, NoSQL, and 2+ years in CI/CD and cloud environments.
🌎 - Country
United States
💱 - Currency
$ USD
💰 - Day rate
Unknown
Unknown
🗓️ - Date discovered
February 14, 2025
🕒 - Project duration
More than 6 months
🏝️ - Location type
Hybrid
📄 - Contract type
W2 Contractor
🔒 - Security clearance
Unknown
📍 - Location detailed
Charlotte, NC
🧠 - Skills detailed
#Java #NoSQL #Scala #Data Engineering #Databases #SQL (Structured Query Language) #Cloudera #MongoDB #Programming #SQL Server #Cloud #HBase #Spark (Apache Spark) #Python #Teradata #Hadoop #Oracle #MS SQL (Microsoft SQL Server)
Role description
You've reached your limit of 5 free role views today. Upgrade to premium for unlimited access.

Only candidates available and ready to work directly as Genesis10 employees will be considered for this position. (No C2C)

Tile: Data Engineer

Location: Charlotte, NC (hybrid 3 days/week onsite)

Duration: 12 months (with possible extension)
• 5+ years’ of experience in a data engineering role.
• 5+ years’ Experience in Data Technologies like Hadoop, OLAP , Spark , SQL . NOSQL Databases ( Example: MongoDb, HBASE )
• 3+ years’ Experience with Object-oriented Programming languages (JAVA or Python or Scala).
• 5+ Years of experience building, testing and deploying data applications on Hadoop Platform like MapR , Cloudera
• 2+ Years CI/CD Experience and using platforms like PCF( Pivotal Cloud Foundry )
• 2+ Years’ Hands-on experience with core cloud based data environment.
• Advanced SQL knowledge and SQL query authoring.
• Robust knowledge and understanding of relational database (MS SQL Server, Oracle, Teradata) and NoSQL databases.