Senior Data Engineer with AI/ML Experience - W2 Position

Job Title: Senior Data Engineer with AI/ML Experience Location: Alpharetta, GA or Berkeley Heights, NJ Position : W2 Position (Long Term Contract) Job Description: Ø This team will work on a data + machine learning platform focused on building recommendation systems and advanced analytics using large-scale merchant datasets. Ø The goal is not to hire traditional ETL-focused engineers or pure data scientists. Instead, we’re targeting hybrid Data Engineers who can: Ø Build scalable data pipelines and data models Ø Work hands-on with Python Ø Develop or integrate machine learning models and inference workflows Ø Contribute to MLOps pipelines (deployment, monitoring, lifecycle) Ø Our environment is AWS-centric, and relevant experience is important, particularly: AWS (S3, Glue, SageMaker, ECS/Fargate) Working with data platforms like Snowflake Building data pipelines and ML workflows end-to-end Ø The team will be working on use cases such as: Building merchant-level analytical datasets and feature pipelines Ø Performing feature engineering and model-ready dataset creation Ø Developing recommendation systems (e.g., nearest neighbor, ML-based models) Ø Supporting model training, evaluation, and inference pipelines in AWS (SageMaker/ECS) At a high level: Ø The Engineers will execute across data pipelines, feature engineering, and ML integration Within the pod, we expect a mix of strengths (some stronger in ML, others in core data engineering) Ø We’ve also included Agentic/LLM-based experience as a “nice-to-have”, not a requirement—this helps future-proof the team without narrowing the candidate pool too much. Key profile we’re targeting: Ø Data Engineers who can move beyond pipelines to help build systems that generate insights and drive recommendations from data