Snowflake Data Engineer

Computer Task Group, Inc•New York, NY

7h•Onsite

About The Position

CTG is seeking a skilled Snowflake Data Engineer to join our client's growing data engineering team. This role is ideal for a data professional with strong Snowflake expertise who enjoys designing scalable cloud data warehouses, building high-performance ELT pipelines, and delivering reliable data solutions that power enterprise analytics. You'll collaborate with cross-functional teams to develop secure, optimized, and scalable data platforms in a cloud environment.

Requirements

Advanced Snowflake development and administration.
Expert SQL development and query optimization.
Strong experience with dimensional data modeling (Star and Snowflake schemas).
Python and/or Bash scripting.
Experience with dbt, Snowpark, or similar data transformation frameworks.
Knowledge of AWS, Azure, or Google Cloud Platform.
Experience building ELT/ETL pipelines and cloud data integration solutions.
Snowflake performance tuning and optimization.
Data governance, RBAC, data masking, and security best practices.
Strong analytical, troubleshooting, and communication skills.
Experience working within Agile/Scrum environments.
4+ years of experience building cloud-native data platforms.
Minimum 3 years of hands-on Snowflake engineering experience.
Proven experience designing and optimizing enterprise data warehouses and ELT pipelines.
Experience integrating data from multiple enterprise systems into cloud-based analytics environments.
Demonstrated ability to translate business requirements into scalable technical solutions.
Bachelor's degree in Computer Science, Information Systems, Data Engineering, or a related technical discipline.
Equivalent professional experience will also be considered.
Excellent verbal and written English communication skills and the ability to interact professionally with a diverse group are required.

Responsibilities

Design, develop, and optimize cloud-native data warehouses using Snowflake.
Build, maintain, and enhance scalable ELT data pipelines for structured and semi-structured data.
Configure and administer Snowflake features including virtual warehouses, stages, Snowpipe, streams, and tasks.
Develop optimized SQL queries, stored procedures, views, and User-Defined Functions (UDFs).
Design dimensional data models using Star and Snowflake schemas.
Monitor and optimize platform performance through query tuning, clustering keys, materialized views, and result caching.
Implement security and governance using Role-Based Access Control (RBAC), data masking, and row- and column-level security.
Develop transformation workflows using dbt and/or Snowpark with Python or Java.
Collaborate with business stakeholders, data architects, and analytics teams to translate business requirements into scalable data solutions.
Ensure data quality, governance, reliability, and adherence to enterprise best practices.
Participate in Agile development activities including sprint planning, testing, code reviews, and deployments.