Remote AI Data Engineer for Gen AI & Snowflake

Sedgwick; Tennessee; A distancia; USD 120.000 - 190.000; Jornada completa

Descripción de la vacante

Sedgwick is seeking an AI Engineer to design production-grade data pipelines powering advanced analytics and AI initiatives. You will bridge on‑premises systems with Snowflake and cloud AI ecosystems to deliver high‑fidelity data for ML models and feature stores.

Remote role across the U.S.—you will implement cross‑cloud data workflows, ensure data quality, and collaborate with Data Science, IT, and security teams to ship scalable, secure data solutions for Transformation Office initiatives.

Formación

• Six years of hands-on data engineering experience building production-grade pipelines for Data Science and AI in multi-cloud environments.
• Expert-level Snowflake architecture, Snowpipe automation, and high-concurrency analytics.
• Advanced knowledge of AWS and Azure data services (S3, Glue, Data Factory, Synapse).
• Mastery of Python, SQL, and PySpark; containerization with Docker.

Responsabilidades

• Design and deliver data pipelines bridging on-prem systems to Snowflake in multi-cloud environments.
• Build resilient ETL/ELT pipelines ingesting data from mainframes, SQL Server, and DB2 to cloud platforms (AWS/Azure).
• Develop feature stores and datasets for ML workflows; ensure data quality and reproducibility.
• Create pipelines for generative AI use cases including vector databases across AWS and Azure.
• Lead Snowflake modeling, Snowpipe automation, and performance optimization for high concurrency analytics.
• Implement data quality, validation, and observability frameworks to detect data drift and integrity issues.
• Collaborate with IT, DBAs, security to secure data integrations and production approvals.

Conocimientos

Problem solving

Analytical thinking

Get-it-done attitude

Troubleshooting

Educación

Master’s degree in Computer Science or Data Engineering

Herramientas

Snowflake

AWS

Azure

Python

SQL

PySpark

Docker

Airflow

Descripción del empleo

Sedgwick is seeking an AI Engineer to design production-grade data pipelines powering advanced analytics and AI initiatives. You will bridge on‑premises systems with Snowflake and cloud AI ecosystems to deliver high‑fidelity data for ML models and feature stores.

Remote role across the U.S.—you will implement cross‑cloud data workflows, ensure data quality, and collaborate with Data Science, IT, and security teams to ship scalable, secure data solutions for Transformation Office initiatives.