Data Engineer

Information collected and processed as part of your Jobot candidate profile, and any job applications, resumes, or other information you choose to submit is subject to Jobot's Privacy Policy, as well as the Jobot California Worker Privacy Notice and Jobot Notice Regarding Automated Employment Decision Tools which are available at jobot.com/legal. We are seeking a Data Engineer to join our team that will be responsible for designing, building, and operating the enterprise data platform that powers analytics, reporting, and advanced data use cases across the organization.

This Jobot Job is hosted by: Amber Wood
Are you a fit? Easy Apply now by clicking the "Quick Apply" button and sending us your resume.
Salary: $110,000 - $130,000 per year

A bit about us:

We are a leading provider of convenient, high-quality foods designed for busy, health-conscious consumers. For over a century, we’ve focused on delivering products that fit everyday lifestyles, while continually improving our sourcing and production practices to support long-term sustainability and responsible stewardship.

We are seeking a Data Engineer to join our team that will be 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.

Why join us?

• Competitive Salary
• Full benefits
• Growth Opportunities
• Collaborative Culture
• Stability

Job Details

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 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.

Qualifications and Skills Desired:
Required

• Bachelor’s degree in computer science, Data Engineering, Information Systems, or a related quantitative field.
• Strong experience with data engineering concepts, including ETL/ELT, orchestration, data modeling, and pipeline 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 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.

Interested in hearing more? Easy Apply now by clicking the "Quick Apply" button.

<sub>Jobot is an Equal Opportunity Employer. We provide an inclusive work environment that celebrates diversity and all qualified candidates receive consideration for employment without regard to race, color, sex, sexual orientation, gender identity, religion, national origin, age (40 and over), disability, military status, genetic information or any other basis protected by applicable federal, state, or local laws. Jobot also prohibits harassment of applicants or employees based on any of these protected categories. It is Jobot’s policy to comply with all applicable federal, state and local laws respecting consideration of unemployment status in making hiring decisions.

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