Net2Source Inc.
Senior Data Engineer
⭐ - Featured Role | Apply direct with Data Freelance Hub
This role is for a Senior Data Engineer with a contract length of "unknown" and a pay rate of "unknown." It is 100% onsite in Exeter Township, PA. Key skills include Python, SQL, AWS, and experience with data pipelines and real-time processing.
🌎 - Country
United States
💱 - Currency
$ USD
-
💰 - Day rate
Unknown
-
🗓️ - Date
August 7, 2026
🕒 - Duration
Unknown
-
🏝️ - Location
On-site
-
📄 - Contract
Unknown
-
🔒 - Security
Unknown
-
📍 - Location detailed
Exeter, PA
-
🧠 - Skills detailed
#PySpark #Data Processing #"ETL (Extract #Transform #Load)" #Cloud #Data Pipeline #Batch #Python #Data Lake #Scala #Apache Iceberg #Apache Spark #SQL (Structured Query Language) #Data Modeling #Kafka (Apache Kafka) #Data Engineering #Spark (Apache Spark) #Data Ingestion #AWS (Amazon Web Services)
Role description
Job Title: Senior Data Engineer
Exeter Township, PA, 100% Onsite
Responsibilities:
• Develop and optimize batch and streaming data pipelines.
• Build data processing solutions using Python, SQL, and Spark technologies.
• Design and support cloud-based data platforms and data lake architectures.
• Implement data ingestion, transformation, and integration workflows.
• Improve system performance, reliability, and scalability.
• Troubleshoot production issues and support data operations.
• Collaborate with architects, developers, and business teams.
Required Skills:
• Strong experience in Python, SQL, PySpark, and Apache Spark.
• Experience with AWS cloud services and data platforms.
• Knowledge of Kafka, Apache Iceberg, ETL/ELT, and data modeling.
• Experience with distributed systems and real-time data processing.
• Familiarity with CI/CD and modern software engineering practices.
Job Title: Senior Data Engineer
Exeter Township, PA, 100% Onsite
Responsibilities:
• Develop and optimize batch and streaming data pipelines.
• Build data processing solutions using Python, SQL, and Spark technologies.
• Design and support cloud-based data platforms and data lake architectures.
• Implement data ingestion, transformation, and integration workflows.
• Improve system performance, reliability, and scalability.
• Troubleshoot production issues and support data operations.
• Collaborate with architects, developers, and business teams.
Required Skills:
• Strong experience in Python, SQL, PySpark, and Apache Spark.
• Experience with AWS cloud services and data platforms.
• Knowledge of Kafka, Apache Iceberg, ETL/ELT, and data modeling.
• Experience with distributed systems and real-time data processing.
• Familiarity with CI/CD and modern software engineering practices.
