Senior Data Engineer Job at Net2Source (N2S), Reading, PA

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  • Net2Source (N2S)
  • Reading, PA

Job Description

Job Description

Role: Senior Data Engineer

Location: Reading, PA (onsite-Hybrid)

Term: Contract

The Team

  • You will be part of a high-performing Data Engineering & Analytics team responsible for building scalable, cloud-native data platforms on AWS. The team partners closely with product, analytics, and business stakeholders to deliver reliable data pipelines that support advanced analytics, reporting, and data-driven decision-making.
  • This team emphasizes modern data engineering practices , reusable frameworks, performance optimization, and production-grade data solutions.

As a Senior Data Engineer , you will design, build, and maintain end-to-end data pipelines leveraging Talend Cloud (8.0) , PySpark , and AWS services . You will play a key role in ingesting, transforming, and optimizing large-scale structured and unstructured datasets while ensuring scalability, performance, and data quality across the platform.

Key responsibilities include:

  • Designing and developing ETL/ELT workflows using Talend 8.0 on Cloud
  • Integrating data from APIs, flat files, and streaming sources
  • Ingesting and managing data in AWS S3–based data lakes
  • Developing PySpark jobs for large-scale data processing and transformations
  • Implementing Spark SQL for complex transformations and schema management
  • Building and supporting cloud-native data pipelines using AWS services such as Glue, Lambda, Athena, and EMR
  • Applying performance tuning and optimization techniques for Spark workloads

What You Will Bring

  • 10+ years of experience in data engineering, big data, or ETL development roles
  • Strong hands-on expertise with Talend ETL (Talend Cloud / Talend 8.x)
  • Advanced experience in PySpark and Spark SQL for large-scale data processing
  • Proficiency in Python , including building reusable data transformation modules
  • Solid experience with AWS data services , including:
  • S3 for data lake storage and lifecycle management
  • Glue for ETL/ELT orchestration
  • Lambda for event-driven processing
  • Athena for serverless analytics
  • EMR for Spark/PySpark workloads
  • Strong understanding of ETL/ELT patterns, data lakes, and distributed systems
  • Ability to optimize performance, ensure data quality, and build production-ready pipelines
  • Excellent collaboration skills and experience working with cross-functional teams

Job Tags

Contract work,

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