Senior Data Engineer

Ventura Foods • Irvine, CA

1d • $130,874 - $171,773 • Hybrid

About The Position

The Senior Data Engineer will be part of a team designing and implementing our modern data platform to support enterprise-wide analytics, integration, and AI/ML initiatives. Together, the team will build a scalable enterprise data warehouse, enable modern visualization tools, and advance self-service analytics capabilities for business users.

Requirements

• Bachelor’s degree in Computer Science, Data Engineering, Information Systems, or a related technical field.
• 5+ years of professional experience in data engineering or related roles.
• Proven expertise with Snowflake for data pipelines, development, and optimization.
• Strong experience with dbt for modular transformations and Fivetran for automated ingestion.
• Solid background in data warehousing, dimensional modeling, and performance tuning.
• Hands-on experience with AWS cloud services (especially S3) for data integration and storage.
• Familiarity with data governance tools (Alation or Atlan) for cataloging, lineage, and stewardship.
• Proficiency in SQL and comfort with scripting languages such as Python.

Nice To Haves

• Master’s degree in a related field.
• Experience with real-time/streaming technologies (e.g., Kafka, Kinesis, Flink).
• Knowledge of data security, compliance, and access control best practices.
• Exposure to AI/ML workflows and integrating data engineering solutions with ML pipelines.
• Background in modern visualization platforms (Power BI, Tableau, Looker) to support self-service analytics.
• Demonstrated ability to A39mentor junior engineers and contribute to engineering best practices.

Responsibilities

• Data Engineering & Pipeline Development – Design, build, and maintain scalable data pipelines and workflows in Snowflake, leveraging dbt for modular transformations and Fivetran for automated ingestion.
• Enterprise Data Warehouse & Modeling  – Architect and optimize the enterprise data warehouse, applying best practices in data modeling, performance tuning, and scalability to support enterprise-wide analytics.
• Data Governance & Quality – Partner with governance teams to document cataloging, lineage, and stewardship, while ensuring data quality, security, and compliance.
• Collaboration & Business Enablement – Work closely with business and analytics teams to translate requirements into scalable data solutions.
• Cloud Integration & Infrastructure  – Utilize AWS services (primarily S3) for data storage and integration, ensuring reliability, performance, and cost-effectiveness.
• Additional responsibilities as assigned.

Benefits

• Medical, Prescription, Dental, & Vision – coverage beginning on your 1st day for eligible employees
• Profit Sharing and 401(k) matching (after eligible criteria is met)
• Paid Vacation, Sick Time, and Holidays
• Employee Appreciation Events and Employee Assistance Programs

What This Job Offers

• Job Type: Full-time
• Career Level: Mid Level