Data Engineer – Agentic AI & ML Ops (Co-op)

We are seeking a motivated and curious Data Engineer – Agentic AI & ML Ops to join our Enterprise Data & Analytics team. This co-op provides hands-on experience supporting cloud-based data platforms, AI/ML operations, Generative AI, and Agentic AI solutions. You will work with Databricks, Snowflake, Azure, ADLS, ADF, Power BI, Python, PySpark, SQL, LLMs, and modern AI/ML frameworks in an Agile environment. If you are passionate about data engineering, AI, and automation, we want to hear from you.

Responsibilities

Build Data & AI Pipelines: Develop and support ETL/ELT pipelines and AI/ML workflows; Data Integration & Transformation: Ingest, transform, and orchestrate data using Python, PySpark, and SQL; Develop Agentic AI Solutions: Build and test AI agents and intelligent workflows for automation and data access; LLM & Prompt Engineering: Design and optimize prompts and workflows using LLMs and GenAI frameworks; AI/ML Development & Automation: Build Python-based scripts, APIs, and notebooks on cloud platforms; Support Analytics & AI/ML: Prepare datasets for reporting, ML models, forecasting, and advanced analytics; Monitor & Support Operations: Troubleshoot pipeline failures, performance issues, and data quality gaps; MLOps & CI/CD: Support deployment, testing, and automation for data and AI solutions; Data Modeling & Semantic Layers: Assist with STTM, data modeling, and reporting datasets; Agile Collaboration: Participate in sprint planning, stand-ups, and retrospectives; Documentation & Automation: Create runbooks, workflows, and technical documentation

Requirements

Pursuing a degree in Computer Science, Data Engineering, Data Science, AI/ML, or related field; Knowledge of SQL, Python/PySpark, ETL/ELT, and APIs; Strong analytical and problem-solving skills; Strong communication and teamwork skills

Nice to have

Familiarity with Databricks, Snowflake, Azure, ADLS, ADF, Power BI, or Git is a plus; Exposure to LLMs, GenAI, Agentic AI, MLOps, or CI/CD is beneficial; Experience with Python-based AI/ML projects or notebooks is a plus

Benefits

Medical insurance; Dental insurance; Short-term and long-term disability insurance; AD&D insurance; Life insurance; Matching 401(k) plan with immediate vesting; Unlimited sick time; Paid time off; Holiday pay; Free access to fitness center (WHQ); On-site day care operated by Bright Horizons; Company store; Campbell's Cares donation/volunteer match up to $1,500 annually; Employee Resource Groups; Competitive health, dental, 401k and wellness benefits