Data Engineer

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Full Time Technical Burlington, WA, US

4 days ago Requisition

Salary Range: $ To $ Annually

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 workloads, 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.

• 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.

To perform successfully in this role, the following skills and attributes are essential:

• 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…