Sakata Seed America Jobs Hiring Now
Sakata Seed America is hiring for 7 open roles on Migrate Mate as of July 16, 2026, concentrated in business analysis and business analyst, with listed salaries up to about $125,000. Migrate Mate updates Sakata Seed America's live openings daily. Sakata Seed America develops and produces vegetable and flower seed varieties, supporting growers and agricultural operations across North America.
Find Sakata Seed America JobsOverview
Sakata Seed America hiring data on Migrate Mate, as of July 16, 2026.
- Open jobs
- 7
- Top team
- Business Analysis
- Seniority
- Across all levels
- Work type
- 0% remote or hybrid
- Top location
- Woodland
- Salary range
- $105,000–$125,000
Listed salaries for Sakata Seed America roles on Migrate Mate range from about $105,000 to $125,000 per year across 7 open roles, as of July 16, 2026. Some roles list hourly contract rates.
Open Roles at Sakata Seed America
Showing 7 of 7+ Sakata Seed America jobs
Data Engineer
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Added 5d ago
Sakata Seed America
Data Engineer
Woodland, California
Added 5d ago
Safety & Security Manager (Americas Region)
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Added 5d ago
Sakata Seed America
Safety & Security Manager (Americas Region)
Woodland, California
Added 5d ago
Network Engineer
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Added 6d ago
Sakata Seed America
Network Engineer
Woodland, California
Added 6d ago
Production Grower Analyst
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Added 2w ago
Sakata Seed America
Production Grower Analyst
Woodland, California
Added 2w ago
Microsoft D365 Functional Developer
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Added 1mo ago
Sakata Seed America
Microsoft D365 Functional Developer
Burlington, Washington
Added 1mo ago
Warehouse Technician: Milling
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Added 1mo ago
Sakata Seed America
Warehouse Technician: Milling
Woodland, California
Added 1mo ago
Farm Technician
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Added 1mo ago
Sakata Seed America
Farm Technician
Woodland, California
Added 1mo ago
Added 5d ago
Data Engineer
Sakata Seed America·Woodland, California
Job functions:
$110k - $125k/yr
Bachelor's degree in engineering
201-500 employees
Job Description
Position Summary
The Data Engineer designs, builds, and maintains scalable data solutions that support operational reporting, analytics, and enterprise decision-making. This role is responsible for developing reliable data pipelines, integrating data from internal and third-party systems, and delivering trusted, well-structured data for business use across the organization.
The position combines hands-on engineering, data architecture, and operational support. The Data Engineer will design ETL/ELT workflows, manage lakehouse, warehouse, and database assets, optimize performance, enforce data quality standards, and support secure, governed access to enterprise data. This role partners closely with application owners, analysts, developers, and IT leadership to translate business needs into sustainable technical solutions.
A successful candidate will bring strong SQL and data modeling skills, experience with cloud and hybrid data platforms, and practical knowledge of orchestration, automation, and monitoring. Experience with Microsoft Fabric, relational databases, APIs, file-based ingestion, and modern data engineering practices is highly valued.
This position requires the ability to manage multiple priorities, contribute to project delivery and operational support, document solutions clearly, and participate in maintenance or incident response activities when needed. The ideal candidate is collaborative, detail-oriented, and committed to building resilient, efficient, and secure data solutions.
Essential Duties and Responsibilities
- Design, build, and maintain scalable data pipelines and data integration processes that move data reliably from source systems into curated analytical and operational data stores.
- Develop ETL/ELT workflows for structured, semi-structured, and file-based data using appropriate orchestration, transformation, and scheduling methods.
- Implement and support Microsoft Fabric solutions, including Data Factory pipelines, Lakehouse, Warehouse, Dataflow Gen2, notebooks, and related services for ingestion, transformation, and delivery of trusted data.
- Design and maintain data models, schemas, and data structures that support reporting, analytics, and downstream application needs.
- Integrate data from enterprise applications, databases, APIs, flat files, and third-party platforms while ensuring data accuracy, completeness, and consistency.
- Optimize data queries, transformation logic, storage design, and pipeline performance to improve reliability, scalability, and cost efficiency.
- Implement monitoring, alerting, logging, and data quality checks to detect failures, anomalies, and processing issues before they affect business operations.
- Support data governance, security, and compliance requirements by applying access controls, audit practices, retention standards, and secure data handling procedures.
- Collaborate with business stakeholders, analysts, developers, and IT team members to gather requirements, define technical approaches, and deliver high-value data solutions.
- Create and maintain technical documentation for pipelines, source mappings, transformations, data definitions, standards, and operational procedures.
- Participate in troubleshooting, root cause analysis, and continuous improvement efforts related to data platform health, performance, and service reliability.
- Contribute to standards for version control, testing, deployment, and change management for data assets and engineering workflows.
- Perform additional duties as assigned in support of evolving business priorities and enterprise data initiatives.
Effectiveness and Work Management
To perform successfully in this role, the following skills and attributes are essential:
Analytical and Problem Solving
- Demonstrate the ability to analyze data performance metrics, system behavior, and business requirements to make informed technical decisions.
- Diagnose and resolve data issues using sound logic and reasoning, including query inefficiencies, data integrity concerns, and platform-related bottlenecks.
- Anticipate potential risks and take proactive steps to improve resilience, scalability, and operational continuity.
Initiative and Adaptability
- Take initiative when operational challenges or opportunities for improvement arise, acting decisively while protecting data availability and integrity.
- Adapt to changing business requirements, project priorities, and emerging database technologies.
- Efficiently work through formal and informal channels to remove roadblocks and support the timely delivery of database-related solutions.
Collaboration and Communication
- Partner effectively with application owners, developers, analysts, and infrastructure teams to achieve shared business and technical goals.
- Obtain cooperation and support from internal and external stakeholders when planning, implementing, or troubleshooting database solutions.
- Maintain clear and professional communication with IT Leadership and peers to ensure alignment, transparency, and effective issue resolution.
Continuous Improvement and Professionalism
- Seek and accept feedback for personal and professional growth.
- Reflect on experiences to identify lessons learned and apply them to future situations.
- Take ownership of development and demonstrate integrity in conduct, appearance, and respectful interactions.
- Build trust and credibility through consistent performance and respectful interactions.
Execution and Accountability
- Complete data projects and assignments on time and in alignment with operational priorities and service expectations.
- Maintain accurate, up-to-date documentation, including data architecture, configurations, standards, backup procedures, and operational runbooks.
- Provide practical alternatives and recommendations when technical constraints arise to ensure continuity and business support.
Technical Skills
- Strong command of data for querying, transformation, performance tuning, and database object development.
- Working knowledge of Python or similar scripting languages for data processing, automation, and integration tasks.
- Experience with data modeling concepts, including normalization, dimensional modeling, star schemas, and slowly changing dimensions.
- Hands-on experience with Microsoft Fabric, relational databases, cloud data services, and modern data integration patterns.
- Understanding of orchestration, scheduling, CI/CD concepts, monitoring, and data quality validation in production environments.
- Knowledge of secure data handling, access control, governance, backup and recovery, and operational support best practices.
Communication
- Maintain clear, consistent, and professional communication with IT Leadership, team members, vendors, and business stakeholders to support department and company objectives.
- Communicate effectively across all levels of the organization, translating database concepts into practical business language when needed.
- Demonstrate a strong understanding of the Corporate vision, objectives, and core values.
- Express ideas, risks, recommendations, and technical information clearly and concisely, both verbally and in writing.
- Actively listen to stakeholders and accurately interpret operational needs, project requirements, and support issues.
- Provide customer-focused service, ensuring a positive and professional experience from initial request through resolution.
Minimum Requirements and Qualifications
Education and Experience
- Bachelor’s degree in Computer Science, Information Systems, Engineering, Mathematics, or a related technical field; equivalent practical experience may be considered.
- Minimum of 5 years of professional experience in data engineering, ETL/ELT development, data integration, database development, or a related enterprise data role, including experience building production-grade data pipelines and supporting business-critical data platforms.
Certifications
- Relevant Microsoft, Azure, Fabric, data, or cloud platform certifications are preferred.
- Certifications related to data engineering, security, analytics, or platform administration are a plus.
Core Competencies
- Ability to design and support scalable, maintainable data pipelines and integration workflows across multiple systems.
- Strong understanding of data quality, lineage, governance, and secure data management practices.
- Proven ability to analyze requirements, solve complex technical problems, and communicate clearly with technical and non-technical stakeholders.
- Demonstrated ownership, attention to detail, documentation discipline, and commitment to operational reliability.
Technical Expertise
Candidates must demonstrate in-depth knowledge and hands-on experience with:
- Data Platforms: Microsoft Fabric, SQL Server, PostgreSQL, MySQL, cloud data services, lakehouse and warehouse platforms, or equivalent enterprise technologies
- Data Engineering: ETL/ELT design, pipeline orchestration, ingestion frameworks, transformation logic, data quality controls, and batch or scheduled processing
- Development: SQL, Python, stored procedures, views, functions, scripting, API integration, and automation
- Data Modeling and Storage: Relational design, dimensional modeling, partitioning, indexing, schema design, and storage optimization
- Operations and Reliability: Monitoring, logging, alerting, troubleshooting, backup and recovery, disaster recovery, and performance tuning
- Security and Governance: Role-based access, auditing, encryption awareness, retention practices, and support for compliance requirements
Preferred Tools and Knowledge
- Experience with Microsoft Fabric components such as Data Factory pipelines, Lakehouse, Warehouse, Dataflow Gen2, notebooks, and semantic models.
- Familiarity with medallion architecture, Delta-based storage patterns, dimensional models, and modern analytics delivery practices.
- Experience integrating data from REST APIs, flat files, ERP or line-of-business applications, SaaS platforms, and external data providers.
- Knowledge of source control, release management, and CI/CD practices for data engineering assets and platform changes.
- Exposure to Spark, data warehouse optimization, business intelligence platforms, and enterprise data governance tools is beneficial.
BENEFITS:
Health & Wellness
Medical, Dental & Vision Insurance
Monthly Wellness Stipend
Employee Assistance Program (EAP)
Medical, Dental & Vision Insurance
Monthly Wellness Stipend
Employee Assistance Program (EAP)
Employee Philanthropic Giving Program
Disability Insurance (plans vary by location)
Financial Benefits
401(k) Program + Company Match
Profit Sharing Program (via 401(k)
Holiday Bonus
Performance Incentive Bonus Program
Tuition Reimbursement
Tuition Reimbursement
529 College‑Savings Plan
Company-Paid Basic Life & AD&D Insurance
Company-Paid Basic Life & AD&D Insurance
Time Off & Flexibility
Paid Vacation
Paid Sick Leave
15 Paid Company Holidays
2 Floating Holidays
Sakata Seed America
Data Engineer
Woodland, California
Added 5d ago201-500 employees
Job functions:
$110k - $125k/yr
Bachelor's degree in engineering
Job Description
Position Summary
The Data Engineer designs, builds, and maintains scalable data solutions that support operational reporting, analytics, and enterprise decision-making. This role is responsible for developing reliable data pipelines, integrating data from internal and third-party systems, and delivering trusted, well-structured data for business use across the organization.
The position combines hands-on engineering, data architecture, and operational support. The Data Engineer will design ETL/ELT workflows, manage lakehouse, warehouse, and database assets, optimize performance, enforce data quality standards, and support secure, governed access to enterprise data. This role partners closely with application owners, analysts, developers, and IT leadership to translate business needs into sustainable technical solutions.
A successful candidate will bring strong SQL and data modeling skills, experience with cloud and hybrid data platforms, and practical knowledge of orchestration, automation, and monitoring. Experience with Microsoft Fabric, relational databases, APIs, file-based ingestion, and modern data engineering practices is highly valued.
This position requires the ability to manage multiple priorities, contribute to project delivery and operational support, document solutions clearly, and participate in maintenance or incident response activities when needed. The ideal candidate is collaborative, detail-oriented, and committed to building resilient, efficient, and secure data solutions.
Essential Duties and Responsibilities
- Design, build, and maintain scalable data pipelines and data integration processes that move data reliably from source systems into curated analytical and operational data stores.
- Develop ETL/ELT workflows for structured, semi-structured, and file-based data using appropriate orchestration, transformation, and scheduling methods.
- Implement and support Microsoft Fabric solutions, including Data Factory pipelines, Lakehouse, Warehouse, Dataflow Gen2, notebooks, and related services for ingestion, transformation, and delivery of trusted data.
- Design and maintain data models, schemas, and data structures that support reporting, analytics, and downstream application needs.
- Integrate data from enterprise applications, databases, APIs, flat files, and third-party platforms while ensuring data accuracy, completeness, and consistency.
- Optimize data queries, transformation logic, storage design, and pipeline performance to improve reliability, scalability, and cost efficiency.
- Implement monitoring, alerting, logging, and data quality checks to detect failures, anomalies, and processing issues before they affect business operations.
- Support data governance, security, and compliance requirements by applying access controls, audit practices, retention standards, and secure data handling procedures.
- Collaborate with business stakeholders, analysts, developers, and IT team members to gather requirements, define technical approaches, and deliver high-value data solutions.
- Create and maintain technical documentation for pipelines, source mappings, transformations, data definitions, standards, and operational procedures.
- Participate in troubleshooting, root cause analysis, and continuous improvement efforts related to data platform health, performance, and service reliability.
- Contribute to standards for version control, testing, deployment, and change management for data assets and engineering workflows.
- Perform additional duties as assigned in support of evolving business priorities and enterprise data initiatives.
Effectiveness and Work Management
To perform successfully in this role, the following skills and attributes are essential:
Analytical and Problem Solving
- Demonstrate the ability to analyze data performance metrics, system behavior, and business requirements to make informed technical decisions.
- Diagnose and resolve data issues using sound logic and reasoning, including query inefficiencies, data integrity concerns, and platform-related bottlenecks.
- Anticipate potential risks and take proactive steps to improve resilience, scalability, and operational continuity.
Initiative and Adaptability
- Take initiative when operational challenges or opportunities for improvement arise, acting decisively while protecting data availability and integrity.
- Adapt to changing business requirements, project priorities, and emerging database technologies.
- Efficiently work through formal and informal channels to remove roadblocks and support the timely delivery of database-related solutions.
Collaboration and Communication
- Partner effectively with application owners, developers, analysts, and infrastructure teams to achieve shared business and technical goals.
- Obtain cooperation and support from internal and external stakeholders when planning, implementing, or troubleshooting database solutions.
- Maintain clear and professional communication with IT Leadership and peers to ensure alignment, transparency, and effective issue resolution.
Continuous Improvement and Professionalism
- Seek and accept feedback for personal and professional growth.
- Reflect on experiences to identify lessons learned and apply them to future situations.
- Take ownership of development and demonstrate integrity in conduct, appearance, and respectful interactions.
- Build trust and credibility through consistent performance and respectful interactions.
Execution and Accountability
- Complete data projects and assignments on time and in alignment with operational priorities and service expectations.
- Maintain accurate, up-to-date documentation, including data architecture, configurations, standards, backup procedures, and operational runbooks.
- Provide practical alternatives and recommendations when technical constraints arise to ensure continuity and business support.
Technical Skills
- Strong command of data for querying, transformation, performance tuning, and database object development.
- Working knowledge of Python or similar scripting languages for data processing, automation, and integration tasks.
- Experience with data modeling concepts, including normalization, dimensional modeling, star schemas, and slowly changing dimensions.
- Hands-on experience with Microsoft Fabric, relational databases, cloud data services, and modern data integration patterns.
- Understanding of orchestration, scheduling, CI/CD concepts, monitoring, and data quality validation in production environments.
- Knowledge of secure data handling, access control, governance, backup and recovery, and operational support best practices.
Communication
- Maintain clear, consistent, and professional communication with IT Leadership, team members, vendors, and business stakeholders to support department and company objectives.
- Communicate effectively across all levels of the organization, translating database concepts into practical business language when needed.
- Demonstrate a strong understanding of the Corporate vision, objectives, and core values.
- Express ideas, risks, recommendations, and technical information clearly and concisely, both verbally and in writing.
- Actively listen to stakeholders and accurately interpret operational needs, project requirements, and support issues.
- Provide customer-focused service, ensuring a positive and professional experience from initial request through resolution.
Minimum Requirements and Qualifications
Education and Experience
- Bachelor’s degree in Computer Science, Information Systems, Engineering, Mathematics, or a related technical field; equivalent practical experience may be considered.
- Minimum of 5 years of professional experience in data engineering, ETL/ELT development, data integration, database development, or a related enterprise data role, including experience building production-grade data pipelines and supporting business-critical data platforms.
Certifications
- Relevant Microsoft, Azure, Fabric, data, or cloud platform certifications are preferred.
- Certifications related to data engineering, security, analytics, or platform administration are a plus.
Core Competencies
- Ability to design and support scalable, maintainable data pipelines and integration workflows across multiple systems.
- Strong understanding of data quality, lineage, governance, and secure data management practices.
- Proven ability to analyze requirements, solve complex technical problems, and communicate clearly with technical and non-technical stakeholders.
- Demonstrated ownership, attention to detail, documentation discipline, and commitment to operational reliability.
Technical Expertise
Candidates must demonstrate in-depth knowledge and hands-on experience with:
- Data Platforms: Microsoft Fabric, SQL Server, PostgreSQL, MySQL, cloud data services, lakehouse and warehouse platforms, or equivalent enterprise technologies
- Data Engineering: ETL/ELT design, pipeline orchestration, ingestion frameworks, transformation logic, data quality controls, and batch or scheduled processing
- Development: SQL, Python, stored procedures, views, functions, scripting, API integration, and automation
- Data Modeling and Storage: Relational design, dimensional modeling, partitioning, indexing, schema design, and storage optimization
- Operations and Reliability: Monitoring, logging, alerting, troubleshooting, backup and recovery, disaster recovery, and performance tuning
- Security and Governance: Role-based access, auditing, encryption awareness, retention practices, and support for compliance requirements
Preferred Tools and Knowledge
- Experience with Microsoft Fabric components such as Data Factory pipelines, Lakehouse, Warehouse, Dataflow Gen2, notebooks, and semantic models.
- Familiarity with medallion architecture, Delta-based storage patterns, dimensional models, and modern analytics delivery practices.
- Experience integrating data from REST APIs, flat files, ERP or line-of-business applications, SaaS platforms, and external data providers.
- Knowledge of source control, release management, and CI/CD practices for data engineering assets and platform changes.
- Exposure to Spark, data warehouse optimization, business intelligence platforms, and enterprise data governance tools is beneficial.
BENEFITS:
Health & Wellness
Medical, Dental & Vision Insurance
Monthly Wellness Stipend
Employee Assistance Program (EAP)
Medical, Dental & Vision Insurance
Monthly Wellness Stipend
Employee Assistance Program (EAP)
Employee Philanthropic Giving Program
Disability Insurance (plans vary by location)
Financial Benefits
401(k) Program + Company Match
Profit Sharing Program (via 401(k)
Holiday Bonus
Performance Incentive Bonus Program
Tuition Reimbursement
Tuition Reimbursement
529 College‑Savings Plan
Company-Paid Basic Life & AD&D Insurance
Company-Paid Basic Life & AD&D Insurance
Time Off & Flexibility
Paid Vacation
Paid Sick Leave
15 Paid Company Holidays
2 Floating Holidays
Job Roles at Sakata Seed America
Business Analysis2 jobs
Business Analyst1 jobs
Working at Sakata Seed America
Sakata Seed America's 7 open roles are across all levels, and about 0% are remote or hybrid. The most active teams are business analysis and business analyst. Sakata Seed America is an agricultural seed company focused on the development, production, and distribution of vegetable and flower seeds for commercial growers and horticulture markets. Roles span farm and production operations, warehouse and milling, data and IT infrastructure, and safety management. Most Sakata Seed America roles are based in Woodland and Burlington.
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Browse jobs by roleSakata Seed America Jobs: Frequently Asked Questions
How many jobs is Sakata Seed America hiring for right now?
Sakata Seed America is hiring for 7 open roles on Migrate Mate as of July 16, 2026, updated daily, concentrated in business analysis and business analyst. Openings span farm and greenhouse operations, warehouse and milling, IT and data engineering, and safety and security management across its U.S. locations.
What kinds of roles does Sakata Seed America hire for?
The most active teams are business analysis and business analyst. Sakata Seed America hires across farm production, warehouse operations, data and network engineering, software development, and safety and security management. Most postings are across all levels, reflecting a mix of hands-on agricultural roles and technical or professional positions supporting seed development and business operations.
Are Sakata Seed America jobs remote or in-person?
Mostly on-site. About 0% of Sakata Seed America's open roles on Migrate Mate are remote or hybrid as of July 16, 2026, with the rest based in Woodland. Each Sakata Seed America listing shows its work location so you can filter before applying.
How do I apply to a job at Sakata Seed America?
Find a Sakata Seed America role on Migrate Mate and follow the listing through to Sakata Seed America's own application portal. Sakata Seed America manages its own hiring process, so you apply and communicate with their team directly. Migrate Mate keeps the listings current so you can check back as new roles open.
What do Sakata Seed America jobs pay?
Listed salaries for Sakata Seed America roles on Migrate Mate range from about $105,000 to $125,000 per year as of July 16, 2026, with most postings at across all levels. Some roles list hourly contract rates. Exact pay is set by Sakata Seed America and shown on each listing.
Does Sakata Seed America hire entry-level?
Most of Sakata Seed America's open roles on Migrate Mate are across all levels as of July 16, 2026. Check individual Sakata Seed America listings for stated experience requirements.
Where is Sakata Seed America hiring?
Most Sakata Seed America roles are based in Woodland and Burlington, and about 0% offer remote or hybrid work as of July 16, 2026. Migrate Mate shows the location on each listing.