Junior GenAI Data Engineer - Cloud Pipelines & Snowflake

Sedgwick; Tampa (FL); Remote; USD 110,000 - 170,000; Full time

Job summary

Sedgwick is seeking a Junior Forward Deployed Engineer to architect enterprise data pipelines for analytics, ML, and AI initiatives. You will bridge legacy systems with cloud platforms like Snowflake, AWS, and Azure, delivering production-ready data for models and AI tools.

As a day-one builder, you’ll craft resilient ETL/ELT flows, manage feature stores, and optimize data quality across multi-cloud environments while partnering with IT, security, and data teams.

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.
• Strong Snowflake architecture knowledge and cloud integration expertise.

Responsibilities

• Designs, builds, and maintains ETL/ELT pipelines from on-prem to cloud.
• Develops feature stores and datasets for ML workflows.
• Engineers data pipelines for generative AI use cases across AWS/Azure.

Skills

Snowflake

AWS

Azure

Python

SQL

PySpark

Docker

Orchestration

Data Modeling

Gen AI

Education

Master’s degree in Computer Science/Data Engineering

Tools

Snowflake

AWS (S3, Glue, Lambda)

Azure (Data Factory, Synapse)

Snowpipe

Python

Job description

Sedgwick is seeking a Junior Forward Deployed Engineer to architect enterprise data pipelines for analytics, ML, and AI initiatives. You will bridge legacy systems with cloud platforms like Snowflake, AWS, and Azure, delivering production-ready data for models and AI tools.

As a day-one builder, you’ll craft resilient ETL/ELT flows, manage feature stores, and optimize data quality across multi-cloud environments while partnering with IT, security, and data teams.