Senior Data Engineer

Employment Type: Salaried Work Arrangement: Hybrid

Position Summary:

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.

Major Duties and 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.

Education and Experience:

Required :

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.

Why Join Us: Ventura Foods innovates and manufactures food solutions for foodservice and retail businesses. We make exclusive products for the world's most iconic restaurants and retailers, we provide ready-to-go product solutions for professional kitchens, and we make consumer brands everyone knows and loves. When you work for Ventura Foods, you get a strong foundation of training, a manager who cares about you and celebrates your success, a safe environment, and challenging work. As part of our team, your future is limited only by how much you’re willing to push yourself to get there. We invest in your growth because you invest in ours.

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.

Ventura Foods is proud to be an equal opportunity employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, gender, national origin, disability status, protected veteran status or any other characteristic protected by law.

Ventura Foods may use Artificial Intelligence (AI) assisted tools at certain stages of our hiring process, including identifying & sourcing candidates, reviewing applications and matched candidates on job boards and websites, and generating screening questions to help us work more efficiently and consistently. We regularly review our tools to promote fairness and reduce the risk of bias. However, while these tools support our process, every hiring decision is made by a real person on our team. Applicants in the State of New York may request an alternative process by contacting us at VFaccessibility@rescocompany.com .