Data Engineer (PySpark / AWS)

Title: Data Engineer (PySpark / AWS) Location: Wilmington, DE - Onsite Type: Contract Job Overview We are seeking a highly skilled Data Engineer with strong expertise in PySpark, ETL pipelines, and AWS services to join our onsite team in Wilmington, DE. The role requires hands-on experience in designing, developing, and maintaining large-scale data processing solutions, while collaborating with cross-functional teams to deliver high-quality, scalable data systems. Key Responsibilities Design, build, and optimize ETL and streaming data pipelines using PySpark. Leverage AWS services (SQS, Lambda, S3, RDS) to implement scalable and secure data solutions. Develop and maintain clean, efficient, and reusable code in Python and other programming languages. Collaborate with business and technical stakeholders to translate requirements into data engineering solutions. Ensure data integrity, governance, and compliance across all platforms. Conduct performance tuning, troubleshooting, and optimization of data pipelines. Document processes, workflows, and best practices for continuous improvement. Must-Have Skills Extensive hands-on experience with PySpark and ETL/Streaming Pipelines. Strong knowledge of AWS services (SQS, Lambda, S3, RDS). Advanced proficiency in at least one programming language (Python preferred). Preferred Skills Proficiency with Alteryx, Tableau, ThoughtSpot, and SQL. Deep understanding of advanced AWS concepts (Glue, EMR). Practical cloud-native development experience. Good to Have Experience with Shell scripting and Unix systems. Proficiency in Terraform for infrastructure as code. Familiarity with Large Language Models (LLM), including practical use case development with OpenAI Azure. Experience & Qualifications 5+ years of applied experience in data engineering or software development. Formal training or certification in software engineering concepts. Bachelor's or Master's degree in Computer Science, Computer Engineering, Mathematics, or a related technical field.

Created: 2026-03-04