Hybrid Snowflake/AWS Data Engineer

Sr. Data Engineer

Full Time Direct Hire Job

Hybrid with work location-Irvine, CA.

The Senior Data Engineer will help design and build a modern data platform that supports enterprise analytics, integrations, and AI/ML initiatives. This role focuses on developing scalable data pipelines, modernizing the enterprise data warehouse, and enabling self-service analytics across the organization.

Key Responsibilities

• Build and maintain scalable data pipelines using Snowflake, dbt, and Fivetran.

• Design and optimize enterprise data models for performance and scalability.

• Support data cataloging, lineage, quality, and compliance efforts.

• Translate business and analytics requirements into reliable data solutions.

• Use AWS (primarily S3) for storage, integration, and platform reliability.

• Perform other data engineering tasks as needed.

Required Qualifications

• Bachelor’s degree in Computer Science, Data Engineering, Information Systems, or related field.

• 5+ years of data engineering experience.

• Hands-on expertise with Snowflake, dbt, and Fivetran.

• Strong background in data warehousing, dimensional modeling, and SQL.

• Experience with AWS (S3) and data governance tools such as Alation or Atlan.

• Proficiency in Python for scripting and automation.

• Experience with streaming technologies (Kafka, Kinesis, Flink) a plus.

• Knowledge of data security and compliance best practices.

• Exposure to AI/ML workflows and modern BI tools like Power BI, Tableau, or Looker.

• Ability to mentor junior engineers.

Skills

• Snowflake

• dbt

• Fivetran

• Data modeling and warehousing

• AWS

• Data governance

• SQL

• Python

• Strong communication and cross-functional collaboration

• Interest in emerging data and AI technologies