Junior Gen AI Data Engineer (Remote in FL)

Sedgwick; Miami (FL); Remote; USD 130,000 - 180,000; Full time

Job summary

Sedgwick is seeking a Junior Forward Deployed Engineer to join the Transformation Office. You will architect and deliver data pipelines powering advanced analytics, ML, and AI initiatives across on‑prem and cloud environments.

You’ll bridge legacy systems with Snowflake, AWS, and Azure to ensure data quality and governance for model training and inference. As a day‑one builder, you’ll implement orchestration with Airflow and cloud services, collaborate with IT and security teams, and drive

Qualifications

• Master’s degree in Computer Science, Data Engineering, or a related field.
• Six (6) years of hands-on data engineering experience with production-grade pipelines for Data Science/AI in multi-cloud environments.

Responsibilities

• Designs and maintains ETL/ELT pipelines from on-premise to cloud environments.
• Develops feature stores and datasets for ML workflows.
• Builds data pipelines enabling generative AI use cases across AWS and Azure.
• Acts as Snowflake power user, optimizing compute and storage for high concurrency.
• Implements data quality, observability and governance across data platforms.
• Collaborates with IT, security, and DBAs to resolve connectivity and access issues.

Skills

Snowflake

AWS

Azure

Python

SQL

PySpark

Docker

Airflow

Education

Master’s degree in Computer Science or related field

Tools

Snowflake

Azure Data Factory

Snowpipe

Airflow

Job description

Sedgwick is seeking a Junior Forward Deployed Engineer to join the Transformation Office. You will architect and deliver data pipelines powering advanced analytics, ML, and AI initiatives across on‑prem and cloud environments.

You’ll bridge legacy systems with Snowflake, AWS, and Azure to ensure data quality and governance for model training and inference. As a day‑one builder, you’ll implement orchestration with Airflow and cloud services, collaborate with IT and security teams, and drive