Remote Junior Forward-Deployed AI Data Engineer

Sedgwick; Orlando (FL); Remote; USD 100,000 - 140,000; Full time

Job summary

Sedgwick is hiring a Junior Forward Deployed Engineer to architect and implement enterprise data pipelines for advanced analytics, data science, and AI initiatives. You will bridge legacy on‑premise systems with Snowflake and cloud ecosystems (AWS/Azure), delivering high‑fidelity data for model training and AI workloads.

As a day‑one contributor, you will design and optimize data workflows with Airflow, Data Factory, and Snowpipe, ensuring data quality, governance, and cost efficiency across

Qualifications

• Master’s degree in Computer Science, Data Engineering, or related field preferred.
• Six years of hands-on data engineering experience building production pipelines for Data Science/AI in multi-cloud environments.

Responsibilities

• Designs, builds, and maintains ETL/ELT pipelines from on‑premise systems to cloud platforms (Snowflake, AWS, Azure).
• Develops feature stores and analytics datasets for ML workflows.
• Engineering data pipelines for generative AI use cases including vectorization and embeddings.

Skills

Python

SQL

PySpark

Data orchestration

Generative AI pipelines

On-prem to cloud bridging

Team collaboration

Problem solving

Education

Master's degree in Computer Science or Data Engineering

Tools

Snowflake

Snowpipe

AWS

Azure

Docker

Job description

Sedgwick is hiring a Junior Forward Deployed Engineer to architect and implement enterprise data pipelines for advanced analytics, data science, and AI initiatives. You will bridge legacy on‑premise systems with Snowflake and cloud ecosystems (AWS/Azure), delivering high‑fidelity data for model training and AI workloads.

As a day‑one contributor, you will design and optimize data workflows with Airflow, Data Factory, and Snowpipe, ensuring data quality, governance, and cost efficiency across