Lorven Technologies Inc.
Data Engineer - Python/PySpark
⭐ - Featured Role | Apply direct with Data Freelance Hub
This role is for a Data Engineer - Python/PySpark in Jersey City, NJ (Hybrid) with a contract length of "unknown" and a pay rate of "unknown." Requires 3–6 years of experience, strong Python/PySpark skills, and KYC/AML domain knowledge.
🌎 - Country
United States
💱 - Currency
$ USD
-
💰 - Day rate
Unknown
-
🗓️ - Date
May 14, 2026
🕒 - Duration
Unknown
-
🏝️ - Location
Hybrid
-
📄 - Contract
Unknown
-
🔒 - Security
Unknown
-
📍 - Location detailed
New Jersey, United States
-
🧠 - Skills detailed
#"ETL (Extract #Transform #Load)" #Scala #SQL (Structured Query Language) #PySpark #Databases #Kafka (Apache Kafka) #Big Data #NoSQL #Hadoop #Agile #Cloud #Data Pipeline #Spark (Apache Spark) #Data Engineering #Python
Role description
Hi,
Our client is looking for Data Engineer - Python/PySpark in Jersey City, NJ / Hybrid below is the detailed requirements.
Job Title: Data Engineer - Python/PySpark
Location: Jersey City, NJ / Hybrid
Job Description:
• Bachelor’s degree in related field.
• 3–6 years of experience as a Data Engineer with strong Python and PySpark expertise
• Experience building scalable ETL/ELT pipelines in big data environments
• Strong understanding of KYC/AML and Client Onboarding domains
• Hands-on experience with Spark, Hadoop, Kafka, and cloud platforms
• Solid knowledge of SQL and NoSQL databases.
• Design, develop, and maintain scalable data pipelines
• Process large volumes of structured and unstructured data
• Implement KYC/AML data solutions supporting client lifecycle management
• Optimize Spark jobs for performance and reliability
• Collaborate with cross-functional agile teams and stakeholders
Hi,
Our client is looking for Data Engineer - Python/PySpark in Jersey City, NJ / Hybrid below is the detailed requirements.
Job Title: Data Engineer - Python/PySpark
Location: Jersey City, NJ / Hybrid
Job Description:
• Bachelor’s degree in related field.
• 3–6 years of experience as a Data Engineer with strong Python and PySpark expertise
• Experience building scalable ETL/ELT pipelines in big data environments
• Strong understanding of KYC/AML and Client Onboarding domains
• Hands-on experience with Spark, Hadoop, Kafka, and cloud platforms
• Solid knowledge of SQL and NoSQL databases.
• Design, develop, and maintain scalable data pipelines
• Process large volumes of structured and unstructured data
• Implement KYC/AML data solutions supporting client lifecycle management
• Optimize Spark jobs for performance and reliability
• Collaborate with cross-functional agile teams and stakeholders
