Data Engineer

Required Skills & Experience • 7 - 10+ years experience • 6+ years with Data Engineering • 4+ years with AWS (setting up pipelines, using resources, etc.) • Pyspark • AI experience (understanding of agents and ow to use • Experience with Dynamo Blue • Advanced SQL experience (multi-joins, complex queries, profiling and summarizing data, etc.) • Strong data analysis knowledge and running through requirements • Proven problem-solving experience Only include MOST important skills to find the b Nice to Have Skills & Experience • Experience integrating data pipelines with AI or analytics use cases • Familiarity with modern data platforms and orchestration tools Job Description Insight Global is looking for an AWS Data Engineer to join one of our financial clients and help with an ongoing project. 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. 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