Senior Data Engineer in Reading

New Yesterday

Energy Jobline is the largest and fastest growing global Energy Job Board and Energy Hub. We have an audience reach of over 7 million energy professionals, 400,000+ monthly advertised global energy and engineering jobs, and work with the leading energy companies worldwide.
We focus on the Oil & Gas, Renewables, Engineering, Power, and Nuclear markets as well as emerging technologies in EV, Battery, and Fusion. We are committed to ensuring that we offer the most exciting career opportunities from around the world for our jobseekers.
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- 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- 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
If you are interested in applying for this job please press the Apply Button and follow the application process. Energy Jobline wishes you the very best of luck in your next career move.
Apply
Location:
Reading
Job Type:
FullTime
Category:
Engineer, Data, Senior, Engineering

We found some similar jobs based on your search