Senior Data Engineer

We are looking for a skilled Data Engineer with a strong AWS and Python background to help design, build, and maintain scalable data pipelines and APIs. This role is ideal for someone who enjoys working across data ingestion, transformation, and delivery, and who can clearly explain their work through real project experience. This is a fully remote opportunity, slated to be an 18-month contract engagement. Target rate for this role on W2 is $60-$70/hr depending on previous experience. Key Responsibilities • Design, build, and maintain ETL pipelines using AWS services such as S3, Lambda, and Glue • Develop and optimize data processing workflows using Python and PySpark • Build and support APIs (preferably using FastAPI) to expose data to downstream systems • Work with data warehouse architectures, ensuring data quality, reliability, and performance • Collaborate with cross-functional teams to understand data requirements and translate them into scalable solutions • Participate in code reviews and contribute to best practices in data engineering Required Skills & Experience • 10+ years of experience in Data Engineering • Strong hands-on experience with AWS (S3, Lambda, Glue) • Proficiency in Python, including PySpark • Solid background in ETL development and data warehousing concepts • Experience building or working with APIs (FastAPI preferred, but equivalent experience is acceptable) • Ability to clearly walk through past projects and explain design decisions, trade-offs, and outcomes Nice to Have • Experience integrating data pipelines with AI or analytics use cases • Familiarity with modern data platforms and orchestration tools • Exposure to RAG (Retrieval-Augmented Generation) or AI/ML implementations within data engineering (approx. 5% of role)