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# Snowflake Data Engineer

- **Company:** Computer Task Group, Inc
- **Location:** New York, NY, United States
- **Experience:** Experienced
- **Contract:** Permanent contract
- **Skills:** Java (Programming Language), Agile Methodology, Amazon Web Services, Microsoft Azure, Bash Shell, Cloud Computing, Code Review, Information Systems, Information Engineering, Data Governance, Data Integration, Extract Transform Load (ETL), Data Masking, Data Transformation, Data Warehousing, Database Development, Python (Programming Language), Performance Tuning, Scrum Methodology, Query Optimization, Role-Based Access Control, Cloud Services, SQL Stored Procedures, SQL Databases, Google Cloud, Snowflake, Caching, Semi-structured Data, Information Technology, Star Schema, Data Pipelines
- **Published:** July 26, 2026
- **Apply:** https://www.manhattanjobs.com/job.asp?id=3332312887&tx=KR6161FFI&pt=1&aff=0B19D771-A501-4A5E-8338-2A822B784D54&utm_source=Job%20Feed&utm_medium=textkernel&utm_campaign=DE&utm_term=0B19D771-A501-4A5E-8338-2A822B784D54

## About the Role

* 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.

Education:

 * 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.

## Description

* 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.


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