KPG99 INC
FullTime- Senior Data Engineer
⭐ - Featured Role | Apply direct with Data Freelance Hub
This role is for a Full-Time Senior Data Engineer in Mount Laurel, NJ, requiring 7+ years of experience, proficiency in Python and PySpark, expertise in MongoDB, and strong SQL skills. The contract duration is over 6 months.
🌎 - Country
United States
💱 - Currency
$ USD
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💰 - Day rate
Unknown
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🗓️ - Date
March 24, 2026
🕒 - Duration
More than 6 months
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🏝️ - Location
On-site
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📄 - Contract
Fixed Term
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🔒 - Security
Unknown
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📍 - Location detailed
New Jersey, United States
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🧠 - Skills detailed
#Big Data #Azure #Complex Queries #Python #Programming #Datasets #Scala #Cloud #Data Pipeline #AWS (Amazon Web Services) #Indexing #NoSQL #Data Processing #Computer Science #GCP (Google Cloud Platform) #Data Engineering #Pandas #SQL (Structured Query Language) #NumPy #MongoDB #PySpark #Spark (Apache Spark)
Role description
Full-Time (FTE) Role Only (NO C2C)
Senior Data Engineer
Location: Onsite in Mount Laurel, NJ
Local candidates are strongly preferred.
Job Description
Python and PySpark, No SQL Developer
Must Have Technical/Functional Skills
• 7+ years of software or data engineering experience.
• Strong programming experience with Python (Pandas, NumPy preferred).
• Hands-on experience with PySpark for distributed data processing.
• Deep expertise with MongoDB (NoSQL operations, pipelines, indexing strategies).
• Strong proficiency in SQL with the ability to write complex queries and optimize performance.
• Experience working with large datasets and scalable big data pipelines.
• Familiarity with cloud platforms (AWS/Azure/GCP) is an advantage.
• Strong analytical and problem solving skills.
• Excellent communication and teamwork capabilities.
Qualifications : BACHELOR OF COMPUTER SCIENCE
Full-Time (FTE) Role Only (NO C2C)
Senior Data Engineer
Location: Onsite in Mount Laurel, NJ
Local candidates are strongly preferred.
Job Description
Python and PySpark, No SQL Developer
Must Have Technical/Functional Skills
• 7+ years of software or data engineering experience.
• Strong programming experience with Python (Pandas, NumPy preferred).
• Hands-on experience with PySpark for distributed data processing.
• Deep expertise with MongoDB (NoSQL operations, pipelines, indexing strategies).
• Strong proficiency in SQL with the ability to write complex queries and optimize performance.
• Experience working with large datasets and scalable big data pipelines.
• Familiarity with cloud platforms (AWS/Azure/GCP) is an advantage.
• Strong analytical and problem solving skills.
• Excellent communication and teamwork capabilities.
Qualifications : BACHELOR OF COMPUTER SCIENCE
