Data Engineer: Build Scalable Pipelines & Trusted Data

Sakataornamentals; Burlington (WA); On-site; USD 110,000 - 125,000; Full time

Benefits offered by this job

Health insurance

401(k) Program + Company Match

Holiday Bonus

Paid Vacation

Paid Sick Leave

Job summary

Sakataornamentals in Burlington, WA is seeking a Data Engineer to design, build, and maintain scalable data pipelines and data integration processes that support analytics and decision-making.

You will work with Microsoft Fabric, SQL databases, and cloud data services, develop ETL/ELT workloads, enforce data quality, and collaborate with stakeholders to deliver trusted data across the organization.

Qualifications

• 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.
• Experience with Microsoft Fabric, relational databases, cloud data services, and modern data integration patterns.
• Strong SQL and data modeling skills; knowledge of orchestration, automation, and monitoring.

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.

Skills

Data modeling

SQL

Python

Data integration

Data quality

Education

Bachelor’s degree in Computer Science, Information Systems, Engineering, Mathematics, or related field

Equivalent practical experience

Tools

Microsoft Fabric

SQL Server

PostgreSQL

MySQL

Data Factory

Lakehouse

Warehouse

Dataflow Gen2

Notebooks

Job description

Sakataornamentals in Burlington, WA is seeking a Data Engineer to design, build, and maintain scalable data pipelines and data integration processes that support analytics and decision-making.

You will work with Microsoft Fabric, SQL databases, and cloud data services, develop ETL/ELT workloads, enforce data quality, and collaborate with stakeholders to deliver trusted data across the organization.