AWSDBT Data Engineer

Job Description

Job Description

Sr. Data Engineer for a stable company!

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.

• 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.

• 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.

• 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

No Sponsorship Available. Need candidates local to the area.