Snowflake/DBT/AWS Data Engineer

Position Overview Senior Data Engineer – Snowflake/AWS /DBT Data Engineer. Local to Irvine, CA. Full Time Direct Hire. Hybrid work (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. Base Pay Range $130,000.00/yr – $160,000.00/yr 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 Data modeling and warehousing. Strong communication and cross‑functional collaboration. Interest in emerging data and AI technologies. Seniority level Mid‑Senior level Employment type Full‑time Job function Design and Engineering Industries Information Technology & Services and Manufacturing Employee Benefits Medical insurance Vision insurance 401(k) #J-18808-Ljbffr OSTechnical