Lynden Incorporated is seeking a Data Engineer II to join our SeaTac-based team. In this role, you will help build and modernize Lynden's enterprise data platform on Microsoft Fabric, delivering reliable and scalable data solutions that support reporting, analytics, and business decision-making across the organization. The successful candidate will combine strong hands-on engineering skills with sound technical judgment and the ability to translate business needs into secure, maintainable data products.
This is a hybrid position after training, with 2 days onsite in SeaTac and 3 days remote. This position is non-safety-sensitive and requires ongoing authorization to work in the U.S. without sponsorship.
Looking for Your Next Data Engineering Challenge? Join a stable, family‑owned company with 40+ years of no layoffs and a collaborative, team-focused culture.
Who we are:
Lynden is a family-owned transportation and logistics company helping customers balance speed and budget with shipping via air, land, or sea. Our corporate office is home to 190 employees, including 95 IT professionals, and supports 15 Lynden companies and more than 2,500 employees.
What You Will Be Doing
- Build, maintain, and support reliable production data pipelines that enable trusted operational reporting, analytics, and business insights.
- Design and deliver scalable data solutions with built-in quality controls, reconciliation, security, peer review, and change management practices.
- Administer and support the Microsoft Fabric platform, including workspace organization, capacity management, security, connectivity, access controls, and environment lifecycle management.
- Optimize performance, stability, and cost efficiency by monitoring workloads, troubleshooting issues, and resolving production challenges.
- Partner with business stakeholders, analysts, application teams, and technical owners to gather requirements and translate business needs into scalable data solutions.
- Collaborate with Business Intelligence developers to deliver governed datasets and semantic models that support Power BI and other reporting tools.
- Apply secure, well-governed data practices, including role-based access controls, least-privilege design, sensitive data protection, auditability, and change management.
- Utilize Git, deployment pipelines, and automated release processes to manage source control, testing, and promotion across environments.
- Contribute to data platform standards, modernization initiatives, and adoption of new Microsoft Fabric capabilities and engineering best practices.
- Manage multiple projects and production support priorities while ensuring timely delivery of commitments.
- Provide technical guidance, code reviews, and mentorship to team members while supporting continuous improvement initiatives.
What’s In It for You:
- Discretionary bonus program
- Competitive wages + annual wage reviews
- Cell Allowance: $10 per month
- Two medical plans starting as low as $0/month
- Medical, dental and vision for your family for $222/month (HDHP)
- Flexible Spending Account (FSA) or Health Savings Account (HSA)
- Mental health programs (in-office and virtual)
- 17 days Paid Time Off a year + additional paid extended leave. PTO increases with tenure
- 8 paid holidays each year
- 401(k) with company match + additional contributions
- No-cost Employee assistance program, life insurance, long term disability and AD&D
- Tuition Reimbursement program
- Mass transit reimbursement
- Career advancement through internal promotions
What We Need from You (required)
- Bachelor’s degree in Computer Science, Data Engineering, Analytics, or a related field, plus two (2) to four (4) years of related experience; or an equivalent combination of education and experience.
- Hands-on experience delivering production solutions using Microsoft Fabric, including Data Factory, Lakehouse, Warehouse, Notebooks, OneLake, and related platform capabilities.
- Authorization to work in the U.S. without current or future sponsorship.
What Would Be Nice to Bring (preferred)
- Microsoft Fabric, Azure Data Engineer, Power BI, or related Microsoft certifications.
- Advanced SQL skills and proficiency with Python and PySpark for data ingestion, transformation, automation, and testing.
- Strong understanding of modern data engineering concepts, including ETL/ELT, dimensional modeling, Delta and Parquet formats, medallion architecture, change data capture, incremental processing, and data quality practices.
- Experience with Git-based source control, code reviews, CI/CD processes, and deployment management.
- Experience with Microsoft Fabric Real-Time Intelligence, Eventstream, KQL databases, streaming data, or event-driven architectures.
- Experience developing Power BI semantic models and supporting enterprise reporting and analytics solutions.
- Familiarity with Azure services such as Azure Functions, Event Hubs, Key Vault, Azure SQL, and Azure Data Lake Storage.
- Experience modernizing or migrating legacy data platforms and implementing engineering standards, automated testing, observability, or reusable frameworks.
- Strong analytical, organizational, and communication skills, with the ability to partner effectively with technical and non-technical stakeholders.
- Experience in transportation, logistics, finance, or other complex operational environments.
Your Schedule
- Hybrid schedule upon completion of training
- Working onsite from our office in SeaTac, WA
- This position is not eligible for relocation.
Why should you join us?
- We’re ethical and human. We don’t get everything perfect, but we try hard. When we miss the mark, we own it and make it right.
- We work as a collaborative team built on respect and support.
- Our casual office includes an on-site gym, free parking and easy access to Link Light Rail.
Fine Print:
All employment offers are contingent on a satisfactory background check and pre‑employment drug screen, excluding marijuana where prohibited by law. Random drug testing does not include marijuana for non‑safety‑sensitive positions in Washington
Lynden Incorporated is an equal opportunity employer and does not discriminate based on any protected status.
