About the role#
The Enterprise Data & Analytics team is seeking a Data Engineer to support cloud-based data platforms, AI/ML operations, and Generative AI solutions. This co-op position offers hands-on experience in an Agile environment using modern data and AI frameworks.
What you'll do#
- Develop and support ETL/ELT pipelines and AI/ML workflows.
- Ingest, transform, and orchestrate data using Python, PySpark, and SQL.
- Build and test AI agents and intelligent workflows for automation and data access.
- Design and optimize prompts and workflows using LLMs and GenAI frameworks.
- Prepare datasets for reporting, ML models, forecasting, and advanced analytics.
- Troubleshoot pipeline failures, performance issues, and data quality gaps.
- Support deployment, testing, and MLOps automation.
- Create technical documentation, runbooks, and workflows.
- Participate in Agile ceremonies including sprint planning, stand-ups, and retrospectives.
What you'll need#
- Currently pursuing a degree in Computer Science, Data Engineering, Data Science, AI/ML, or a related field.
- Proficiency in SQL, Python/PySpark, ETL/ELT processes, and APIs.
- Familiarity with Databricks, Snowflake, Azure, ADLS, ADF, Power BI, or Git is preferred.
- Exposure to LLMs, GenAI, Agentic AI, MLOps, or CI/CD is beneficial.
- Strong analytical, problem-solving, communication, and teamwork skills.
Location & details#
- Location: Camden, New Jersey
- Work Modality: On-site
- Position Type: Full-time co-op
- Sponsorship: Not available
