Snowflake DBT Data Engineer C2C jobs in Irvine CA

Tech Mirrors; Irvine (CA); On-site; USD 140,000 - 170,000; Full time

Job summary

Tech Mirrors is seeking a Snowflake DBT Data Engineer to join our Irvine team for a 5-day onsite engagement. The role focuses on developing DBT projects, building modular transformations, and optimizing Snowflake deployments to meet data standards.

You will write advanced SQL with Jinja, model data using a dimensional approach, and implement materialization strategies to balance data freshness and compute costs. Strong testing, lineage and CI/CD integration are essential.

Qualifications

• Proficient in DBT development, testing and modular design.
• Deep knowledge of SQL, DBT, and Snowflake data stack.
• Experience with Jinja templating and dynamic transformations.

Responsibilities

• Develop DBT projects with modular, reusable transformations.
• Write advanced SQL and Jinja for dynamic models.
• Model data in Snowflake using dimensional design (Star Schema).
• Configure materialization strategies to balance performance and costs.
• Embed data quality tests and ensure data lineage and documentation.
• Integrate DBT with CI/CD pipelines (Dagster, Bitbucket).
• Maintain documentation and lineage for transformed models.
• Manage Snowflake features like time travel, zero-copy cloning and access controls.

Skills

SQL

DBT

Snowflake

Jinja

Data Modeling

Star Schema

CI/CD

Dagster

Bitbucket

Tools

Dagster

Bitbucket

Job description

Snowflake DBT Data Engineer

Location Irvine CA 5 Day onsite

Required technical skills for DBT Snowflake role

Develop DBT Projects Build maintain and manage the end-to-end DBT project ensuring modularity reusability and adherence to established data standards

Advanced SQL Jinja Write complex optimized SQL queries and leverage Jinja templating within DBT models for dynamic transformations and efficient code

Snowflake Data Cloud Architecture Virtual Warehouses Role Based Access Control Time Travel Zero Copy Clones Objects and SQL Scripting

Data Modeling Implementation Design and implement dimensional data models eg Star Schema in Snowflake to serve business intelligence reporting and data science needs

Materialization Strategy Configure and optimize DBT materialization strategies views tables incremental models Dynamic Tables to balance data freshness query performance and Snowflake compute costs

Automated Testing Embed comprehensive data quality and integrity tests ex schema checks referential integrity directly into DBT models using DBT tests and custom checks

Documentation Lineage Maintain high-quality DBT documentation and ensure complete data lineage is tracked and visible for all transformed models

Orchestration CICD Integrate the DBT project with orchestration tools eg Dagster and establish CICD pipelines eg BitBucket for reliable automated deployment of code from development to production environments