Senior Data Engineer
Role details
Job location
Tech stack
Job description
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., * 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.
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.
Preferred:
- 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.
Knowledge and Skills:
- Snowflake (Expert) - deep expertise in data pipelines, query optimization, and enterprise-scale implementation.
- dbt (Advanced) - strong ability to design modular, reusable transformations and maintain version-controlled models.
- Fivetran (Advanced) - hands-on skill in managing ingestion pipelines and troubleshooting data connectors.
- Data Warehousing & Data Modeling (Advanced) - proficiency in dimensional modeling, star/snowflake schemas, and performance tuning.
- AWS Cloud (Intermediate) - working knowledge of S3 for storage and integration; familiarity with broader AWS data services a plus.
- Data Governance (Intermediate) - understanding of metadata management, lineage, and cataloging.
- SQL (Expert) - strong command of writing complex queries and optimizing performance.
- Python (Intermediate) - ability to script automation, testing, and lightweight data transformations.
- Collaboration & Communication - skilled in working with cross-functional teams and translating technical concepts to business stakeholders.
- Emerging Tech & AI - awareness of how AI/ML can accelerate data engineering practices; willingness to experiment and learn.
Benefits & conditions
Ventura Foods offers career growth opportunities as well as competitive compensation and 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
- Salary Base Range of $130,874.00 - $171,772.65*
*The "base salary range" provided above is a good faith estimate of what we expect to pay for this position in the specified markets. Ventura Foods reserves the right to pay outside of the given range based on a variety of factors including but not limited to: candidate skills and experience, complexity of the job, budgetary factors, and location/geography. Ventura Foods conducts regular reviews of compensation ranges and therefore reserves the right to alter this range at any given time.
Diversity & Inclusion: Our commitment to a diverse and inclusive environment in which all employees are treated with respect is evident in our company culture and values. We believe that fostering an environment of inclusion and a focus on diversity across our organization is vital to attracting top talent, driving innovation, and meeting the high expectations of our customers in a rapidly evolving global marketplace.