Senior Data Engineer

3SbcContract
Pennsylvania
8 - 12 YearsApr 24th, 2026
32 ViewsBe an Early Applicant
Required Skillset:
LambdaS3RedshiftAuroraGlueEMR

Job Description

Role: Senior Data Engineer
Location: Reading, PA (Hybrid)
Duration: Long Term
Only Gc and Us Citizens
Senior Data Engineer, you will play a hands-on role in designing, building, and operating high-performance batch and streaming data platforms. You will:
·   Design, develop, and maintain large-scale batch and streaming pipelines using PySpark and Python.
·   Build real-time and near real-time streaming applications with stateful processing, windowing, and checkpointing.
·   Develop production-grade Python microservices for complex data transformations and business logic.
·   Design and manage modern data lake architectures using Apache Iceberg on AWS S3, implementing schema evolution, partitioning, compaction, and time travel.
·  Develop and deploy pipelines across AWS services including S3, EMR, Glue, Lambda, Athena, Redshift, and Aurora.
·   Optimize Spark workloads for performance, scalability, and cost efficiency.
·   Implement monitoring, logging, alerting, and recovery mechanisms for robust production operations.
·   Contribute to CI/CD pipelines, participate in architecture discussions, and uphold engineering best practices.
What You’ll Bring
·   Bachelor’s or Master’s degree in Computer Science, Engineering, or a related discipline.
·  Over 10+ years of experience in IT and strong hands-on expertise in PySpark, Spark SQL, and distributed data processing.
·  Advanced proficiency in Python for building scalable, production-grade data solutions and microservices.
·   Proven experience building and running Kafka-based streaming applications in production environments.
·  Deep understanding of streaming fundamentals, including stateful processing and fault tolerance.
·   Hands-on experience with Apache Iceberg in production data lake environments.
·   Solid experience with AWS data services (S3, EMR, Glue, Lambda, Redshift, Aurora).
·  Advanced SQL skills and strong knowledge of data modeling and modern data lake architectures.
·  Strong troubleshooting skills in distributed data systems with a focus on reliability and performance.

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