Data Engineer

Role Overview:

The Data Engineer at Bumble Bee Seafoods is responsible for designing, building, and operating the enterprise data platform that powers analytics, reporting, and advanced data use cases across the organization. This role focuses on data ingestion, transformation, modeling, and platform reliability, with Microsoft Fabric as the primary data engineering and analytics platform.

The Data Engineer will work closely with analytics, IT, and business stakeholders to integrate data from ERP, supply chain, and operational systems into governed, scalable, and high-performance analytical data assets. This role emphasizes strong engineering discipline, data architecture, and operational excellence rather than ad-hoc analysis or report creation.

Key Responsibilities:

The Data Engineer partners with analytics and business teams to translate data requirements into robust, production-grade data solutions. This role requires deep technical expertise in data pipelines, storage, modeling, and performance optimization, with a focus on building reusable and future-ready data assets.

Essential Responsibilities:

• Design, build, and maintain end-to-end data pipelines using Microsoft Fabric and Azure Synapse, including ingestion, transformation, orchestration, and storage.
• Develop and manage Fabric Lakehouse and Warehouse architectures to support enterprise analytics and downstream consumption.
• Implement scalable data ingestion from ERP, supply chain, and operational systems using Fabric Pipelines, Dataflows Gen2, and related tooling.
• Apply strong data modeling and data engineering best practices, including dimensional modeling, normalization where appropriate, and performance optimization.
• Create and maintain curated analytical data layers that serve as trusted sources for Power BI semantic models and other consumers.
• Ensure data quality, reliability, and consistency through validation, monitoring, and structured error handling.
• Collaborate with analytics and BI teams to support Power BI semantic models, focusing on data structures, performance, and governance rather than report design.
• Partner with IT security and infrastructure teams to implement role-based access control, data security, and compliance standards.
• Establish and maintain documentation for data pipelines, schemas, transformations, and architectural decisions.
• Support deployment, versioning, and lifecycle management of data assets across development, test, and production environments.
• Continuously evaluate and adopt new Microsoft Fabric capabilities to improve scalability, performance, and maintainability.
• Contribute to a collaborative, engineering-focused culture that values clean design, automation, and long-term platform health.

Qualifications and Skills Desired:

Required

• Bachelor’s degree in computer science, Data Engineering, Information Systems, or a related quantitative field.
• Job Requirementse design.
• Proficiency in SQL for data transformation, validation, and performance tuning.
• Hands-on experience with Microsoft Fabric and Azure Synapse Analytics.
• Solid understanding of relational and analytical data modeling techniques.
• Experience working with large, complex datasets from multiple source systems.
• Strong problem-solving skills and an engineering mindset focused on reliability and scalability.
• Ability to collaborate effectively with analytics, IT, and business stakeholders.
• Experience with Python is a must.

Preferred

• Experience with Microsoft Fabric Lakehouse, Warehouse, Dataflows Gen2, Pipelines, and Notebooks.
• Understanding of foundational data architecture concepts such as medallion architecture design
• Familiarity with Power BI semantic models from a data engineering and performance perspective.
• Experience integrating data from SAP S/4HANA or similar ERP systems.
• Understanding of supply chain or manufacturing data domains.
• Exposure to data governance concepts such as lineage, certification, and access control.
• Experience with automation, CI/CD concepts, or infrastructure-as-code for data platforms.
• Exposure to machine learning or advanced analytics pipelines is a plus.

· Experience with Azure DevOps preferred.

· Experience with Pyspark and exposure to Apache Spark is preferred.

· Experience with R is preferred.  

Compensation and Benefits

The health, satisfaction and security of our team members and their families are important to us and an important part of reaching our organization’s goals. We offer a total rewards package that includes valuable and competitive compensation and benefit plans. These programs reflect our commitment to attracting and retaining top talent. The compensation for this role includes base salary and eligibility for an annual bonus based on company performance. All incentive plans are subject to change.

The expected pay range for this role is $122,000 - $130,000 annually.

*The compensation will be commensurate with the level of knowledge, education, skills, and experience applicable to the position.

Our current benefits package, which is available to all full-time team members and their eligible dependents, includes:

· medical insurance

· dental insurance

· vision insurance

· 401(k) retirement plan with company match

· HSA & FSA

· life insurance and disability insurance

· and other voluntary benefits

We also offer time-off benefits including:

· paid time-off

· sick-flex time

· 12 company paid holidays

ABOUT THE BUMBLE BEE SEAFOOD COMPANY

The Bumble Bee Seafood Company is passionately pursuing its purpose of feeding people’s lives through the power of the ocean. We are an iconic 125-year-old year-old fishing company that consistently aims to deliver delicious, healthy, and affordable food to consumers while working hard to find new ways to protect the ocean and those that rely on it. Bumble Bee is firmly anchored in a commitment to connect the world to the ocean by re-defining sourcing, producing, and enjoying products from and inspired by the ocean.

Bumble Bee’s full line of seafood and specialty protein products are marketed in the U.S., Canada and over 50 markets globally under leading brands including Bumble Bee®, Brunswick®, Clover Leaf®, Snow’s®, and Beach Cliff®. For more information about the company, visit TheBumbleBeeCompany.com. For product information, visit www.BumbleBee.com.

Bumble Bee Foods, LLC is an Equal Opportunity Employer/ Affirmative Action employer. Employment decisions are based on merit, qualifications, and business needs. We do not discriminate based on race (including hair texture and protective hairstyles), color, religion, sex, sexual orientation, gender identity or expression, national origin, ancestry, age, disability, medical condition, veteran status, or any other protected status under federal, state, or local law.

If you are a qualified individual with a disability or a disabled veteran, you have the right to request an accommodation if you are unable or limited in your ability to use or access our career center as a result of your disability. To request accommodation, contact Bumble Bee Foods, LLC Human Resources Representative.

•  Bachelor’s degree in computer science, Data Engineering, Information Systems, or a related quantitative field.
• Job Requirementse design.
• Proficiency in SQL for data transformation, validation, and performance tuning.
• Hands-on experience with Microsoft Fabric and Azure Synapse Analytics.
• Solid understanding of relational and analytical data modeling techniques.
• Experience working with large, complex datasets from multiple source systems.
• Strong problem-solving skills and an engineering mindset focused on reliability and scalability.
• Ability to collaborate effectively with analytics, IT, and business stakeholders.
• Experience with Python is a must.

Preferred

• Experience with Microsoft Fabric Lakehouse, Warehouse, Dataflows Gen2, Pipelines, and Notebooks.
• Understanding of foundational data architecture concepts such as medallion architecture design
• Familiarity with Power BI semantic models from a data engineering and performance perspective.
• Experience integrating data from SAP S/4HANA or similar ERP systems.
• Understanding of supply chain or manufacturing data domains.
• Exposure to data governance concepts such as lineage, certification, and access control.
• Experience with automation, CI/CD concepts, or infrastructure-as-code for data platforms.
• Exposure to machine learning or advanced analytics pipelines is a plus.

· Experience with Azure DevOps preferred.· Experience with Pyspark and exposure to Apache Spark is preferred.· Experience with R is preferred.