Remote Analytics Engineer II: dbt & Snowflake

Jobgether; United States; Remote; USD 110,000 - 150,000; Full time

Benefits offered by this job

Remote work flexibility

Collaborative work environment

Professional development

Job summary

Jobgether is seeking an Analytics Engineer II in the United States. The role focuses on transforming raw data into reliable datasets, building scalable models, and delivering actionable metrics.

You will work with dbt, Snowflake, and SQL to support reporting, self-service analytics, and governance across business units. You will partner with data engineers, analysts, and stakeholders to ensure data quality, performance, and clear documentation while leveraging AI-assisted tools to enhance

Qualifications

• Three to five years of analytics engineering or related data role experience.
• Strong SQL skills with complex joins, window functions, and performance optimization.
• Hands-on dbt experience with modular models and tests.
• Experience with Snowflake or similar cloud data warehouse.
• Knowledge of dimensional modeling and data governance.

Responsibilities

• Design, build, and maintain scalable data models and transformation pipelines using dbt and Snowflake.
• Write and optimize SQL queries; troubleshoot performance and ensure dataset quality.
• Own analytics tasks from requirements to deployment and monitoring.
• Collaborate with data engineers, analysts, and business stakeholders to deliver reliable datasets.
• Develop and maintain data quality tests, data lineage, and documentation.

Skills

Data modeling

SQL

dbt

Snowflake

Git & PR workflows

Python

AWS

Tools

Snowflake

dbt

Git

Fivetran

Matia

Tableau/Power BI/Looker

Job description

Jobgether is seeking an Analytics Engineer II in the United States. The role focuses on transforming raw data into reliable datasets, building scalable models, and delivering actionable metrics.

You will work with dbt, Snowflake, and SQL to support reporting, self-service analytics, and governance across business units. You will partner with data engineers, analysts, and stakeholders to ensure data quality, performance, and clear documentation while leveraging AI-assisted tools to enhance