Data Platform Engineer: Scalable Pipelines & Lakehouse

Sakata Seed America, Inc.; Woodland (CA); On-site; USD 110,000 - 125,000; Full time

Job summary

Sakata Seed America, Inc. in Burlington, WA seeks a Data Engineer to design, build, and maintain scalable data pipelines and data stores that support operational reporting and enterprise analytics.

You will develop ETL/ELT workflows, manage lakehouse and data warehouse assets, and ensure data quality, security, and governance while collaborating with IT, analysts, developers, and leaders to deliver reliable data solutions.

Qualifications

• Bachelor's degree in a technical field or equivalent experience.
• Minimum 5 years of data engineering, ETL/ELT, or data integration experience.
• Strong SQL, data modeling, and cloud/hybrid data platform knowledge.

Responsibilities

• Design, build, and maintain scalable data pipelines and integrations.
• Develop ETL/ELT workflows for structured and file-based data.
• Implement and support Microsoft Fabric solutions and related services.
• Design and maintain data models, schemas, and structures for reporting.
• Collaborate with stakeholders to gather requirements and deliver data solutions.
• Document pipelines, data definitions, and operational procedures.
• Monitor data quality, reliability, and governance requirements.

Skills

SQL

Data modeling

Python

Education

Bachelor's degree in a technical field

Tools

Microsoft Fabric

Data Factory

Lakehouse

Warehouse

APIs

Databases

Job description

Sakata Seed America, Inc. in Burlington, WA seeks a Data Engineer to design, build, and maintain scalable data pipelines and data stores that support operational reporting and enterprise analytics.

You will develop ETL/ELT workflows, manage lakehouse and data warehouse assets, and ensure data quality, security, and governance while collaborating with IT, analysts, developers, and leaders to deliver reliable data solutions.