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
We are a company committed to creating diverse and inclusive environments where people can bring their full, authentic selves to work every day. We are an equal opportunity/affirmative action employer that believes everyone matters. Qualified candidates will receive consideration for employment regardless of their race, color, ethnicity, religion, sex (including pregnancy), sexual orientation, gender identity and expression, marital status, national origin, ancestry, genetic factors, age, disability, protected veteran status, military or uniformed service member status, or any other status or characteristic protected by applicable laws, regulations, and ordinances. If you need assistance and/or a reasonable accommodation due to a disability during the application or recruiting process, please send a request to HR@insightglobal.com.To learn more about how we collect, keep, and process your private information, please review Insight Global's Workforce Privacy Policy: https://insightglobal.com/workforce-privacy-policy/.
Required Skills & Experience
• 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
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Nice to Have Skills & Experience
• Experience integrating data pipelines with AI or analytics use cases
• Familiarity with modern data platforms and orchestration tools
Benefit packages for this role will start on the 1st day of employment and include medical, dental, and vision insurance, as well as HSA, FSA, and DCFSA account options, and 401k retirement account access with employer matching. Employees in this role are also entitled to paid sick leave and/or other paid time off as provided by applicable law.