Remote AI Data Engineer for Generative AI & Snowflake

Ladders; United States; Teletrabalho; USD 120 000 - 145 000; Tempo integral

Vantagens oferecidas por esta oferta de emprego

Remote work

Resumo da oferta

Ladders is seeking an AI Engineer to join a leader in Finance & Insurance, focusing on designing and advancing data and AI infrastructure that supports ML and generative AI initiatives.

You will partner with cross-functional teams to build resilient pipelines, high-quality datasets, and scalable data workflows that improve reliability and efficiency. Remote work available nationwide in the United States.

Qualificações

• Master's degree in Computer Science, Data Engineering, or related field preferred.
• 6+ years of hands-on data engineering experience in multi-cloud environments.
• Expert-level proficiency in Snowflake architecture and integration with cloud AI services.
• Advanced knowledge of AWS and Azure data services.
• Mastery of Python, SQL, and PySpark, with experience in data orchestration and containerization.

Responsabilidades

• Design and maintain resilient ETL/ELT pipelines for data ingestion from on-premise and cloud systems.
• Develop feature stores and optimized datasets for machine learning workflows.
• Engineer data pipelines for generative AI use cases, handling structured and unstructured data.
• Act as a Snowflake power user, implementing advanced data modeling and optimization techniques.
• Execute non-invasive data extraction strategies from legacy systems without disrupting operations.
• Manage complex data workflows using orchestration tools for reliable data movement.
• Implement automated data quality frameworks to detect anomalies and integrity issues.

Conhecimentos

Python

SQL

PySpark

Data engineering

Formação académica

Master's degree

Ferramentas

Snowflake

AWS data services

Azure data services

Containerization

Descrição da oferta de emprego

Ladders is seeking an AI Engineer to join a leader in Finance & Insurance, focusing on designing and advancing data and AI infrastructure that supports ML and generative AI initiatives.

You will partner with cross-functional teams to build resilient pipelines, high-quality datasets, and scalable data workflows that improve reliability and efficiency. Remote work available nationwide in the United States.