Full-Stack Data Engineer - AI-Driven Analytics & Pipelines

MOJO Family of Brands; Alcoa (WA); On-site; USD 115,000 - 150,000; Full time

Job summary

MOJO Family of Brands seeks a Full Stack Data Engineer to join the Data & Analytics team. You will design and tune SQL and Snowflake models, build and orchestrate pipelines across AWS, and stitch applications, warehouse, and reporting layers into one reliable flow.

With ~3 years of experience, you will deliver production-grade data products from ingestion through insight, partnering with senior engineers and business stakeholders.

Qualifications

• Bachelor’s degree or equivalent in CS/Engineering.
• ~3 years data/analytics engineering experience.
• Expert SQL with performance optimization.
• Snowflake experience or similar cloud DW.
• Experience with dbt models & testing.
• AWS data services (S3, Glue, Lambda, IAM).
• Power BI data models & DAX.
• Familiar with AI tooling and MCP servers.

Responsibilities

• Design, build, and maintain ELT pipelines into Snowflake.
• Develop dbt models and performant SQL.
• Own orchestration of pipelines end-to-end.
• Build Power BI dashboards and semantic models.
• Integrate data from AWS and source systems.
• Apply AI tooling to automate data tasks.

Skills

SQL

Snowflake

dbt

AWS

Power BI

Python

Git

Data Modeling

AI tooling

Education

Bachelor’s degree in CS/Engineering

Tools

Airflow

Dagster

dbt Cloud

Terraform

Docker

Job description

MOJO Family of Brands seeks a Full Stack Data Engineer to join the Data & Analytics team. You will design and tune SQL and Snowflake models, build and orchestrate pipelines across AWS, and stitch applications, warehouse, and reporting layers into one reliable flow.

With ~3 years of experience, you will deliver production-grade data products from ingestion through insight, partnering with senior engineers and business stakeholders.