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# Jr. Snowflake Data Engineer - DBT

- **Company:** Cliff Services Inc
- **Location:** United States
- **Experience:** Starter
- **Contract:** Permanent contract
- **Skills:** Clean Code Principles, Code Review, Continuous Integration, Data Validation, Information Engineering, Data Governance, Extract Transform Load (ETL), Data Mining, Data Warehousing, Database Queries, Python (Programming Language), SQL Databases, Scripting, Cloud Platform System, Data Ingestion, Snowflake, Data Build Tool (dbt), Git, Semi-structured Data, Software Version Control, Data Pipelines
- **Published:** August 21, 2026
- **Apply:** https://www.dice.com/job-detail/84760be6-80aa-4561-9c39-be6cba58c31a

## About the Role

* 1 3 years of experience in Data Engineering or a related field.
 * Hands-on experience with Snowflake.
 * Strong SQL skills.
 * Experience with DBT (Data Build Tool).
 * Understanding of ETL/ELT concepts and data warehousing.
 * Knowledge of data modeling concepts.
 * Experience with Git/version control.
 * Good analytical and troubleshooting skills.
 * Ability to work onsite in Rhode Island.

Preferred

 * Banking or financial services experience.
 * Experience with cloud-based data platforms.
 * Familiarity with Python or scripting.
 * Exposure to CI/CD and automated data pipeline deployment.
 * Understanding of data quality and governance practices.

## Description

We are looking for a Junior Snowflake Data Engineer with hands-on experience in Snowflake, DBT, SQL, and modern data engineering practices. The ideal candidate will work with the data engineering team to develop, maintain, and optimize data pipelines and transformation workflows supporting banking and financial data.
Key Responsibilities

 * Develop and maintain data transformation pipelines using Snowflake and DBT.
 * Write and optimize SQL queries for data extraction, transformation, and loading.
 * Build DBT models, tests, documentation, and reusable transformation logic.
 * Work with structured and semi-structured data within Snowflake.
 * Assist with data ingestion, integration, and ETL/ELT processes.
 * Perform data validation, reconciliation, and quality checks.
 * Troubleshoot data pipeline and transformation issues.
 * Collaborate with senior data engineers, analysts, and business stakeholders.
 * Follow data governance, security, and development best practices within a banking environment.
 * Participate in code reviews, testing, deployment, and production support.


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