Senior Data Engineer

DataArt; New York (NY); On-site; USD 140,000 - 190,000; Full time

Job summary

DataArt in New York is seeking a Senior Data Engineer with strong expertise in data modeling and Snowflake. You will design robust data models, build reliable ETL pipelines, and contribute to the evolution of a production-grade data platform used for data-driven investment decisions.

The role emphasizes hands-on data modeling, Snowflake (Open Flow & Iceberg), Python, and SQL within Azure environments, focusing on data quality, metadata, and scalable architectures.

Qualifications

• 5+ years of work experience in a data engineering role or 3-5 completed projects.
• Experience with Snowflake (Open Flow & Iceberg), Python, Azure, ETL pipelines, dbt, and complex SQL queries.
• Knowledge of data management fundamentals (data modeling, data quality, metadata management, data warehouse/lake patterns, distributed systems).
• Good spoken English.
• Financial, Investment experience.

Responsibilities

• Data Modeling
• ETL pipeline development
• Data warehouse design and implementation

Skills

Data modeling

ETL pipeline development

Data warehouse design

English

Tools

Snowflake

Python

Azure

dbt

SQL

Job description

We are seeking a Senior Data Engineer with strong expertise in data modeling and ETL development using Snowflake. In this role, you will be responsible for designing and implementing robust data models, building reliable ETL pipelines, and contributing to the evolution of the data warehouse.

The primary objective of this exciting project is to enhance the functionality of a cutting-edge Data Platform, empowering business users with the insights they need to make data-driven investment decisions. The Data Platform is already in production, and we are developing new features and projects tailored to specific business data-driven needs as well as introducing ongoing architectural changes to increase usage efficiency.

• Data Modeling
• ETL pipeline development
• Data warehouse design and implementation

• 5+ years of work experience in a data engineering role or 3-5 completed projects
• Experience with Snowflake (Open Flow & Iceberg), Python, Azure, ETL pipelines, dbt, and complex SQL queries
• Knowledge of data management fundamentals (data modeling, data quality, metadata management, data warehouse/lake patterns, distributed systems)
• Good spoken English

• Financial, Investment experience