Azure Data Engineer – Onsite Bellevue: Pipelines & Analytics

Northern Base; Bellevue (WA); On-site; USD 120,000 - 160,000; Full time

Job summary

Northern Base in Bellevue, WA is seeking an Azure Data Engineer to design and maintain scalable data ingestion pipelines and data models for analytics. This 100% onsite role requires strong experience with Azure cloud services, Databricks, Cosmos DB, and Python, delivering clean, governed datasets to analysts and stakeholders.

You will collaborate across teams to ensure data quality, reliability, and timely data availability for reporting and analytics use cases.

Qualifications

• Extensive experience building data pipelines on Azure.
• Strong SQL and data modeling skills for analytics.
• Experience with data governance, security, and compliance.

Responsibilities

• Build and maintain scalable data ingestion pipelines from multiple sources.
• Transform data and normalize schemas (SKU, Partner, Channel mapping).
• Ensure data quality, validation, and reconciliation across datasets.
• Monitor pipelines, handle failures, and triage issues quickly.
• Manage data refresh schedules and CI/CD pipelines for data apps.
• Onboard new data feeds and ensure secure integrations.
• Implement standardized data models for analytics and reporting.
• Maintain data lineage, auditability, and traceability.
• Ingest and standardize partner data with quality checks.
• Collaborate with analysts to deliver reliable datasets.

Skills

Azure

Azure Databricks

Power BI

PySpark

Python

Cosmos DB

PL/SQL

Foundry

Fabric

Power Platform

Tools

Azure Data Factory

Azure Databricks

Cosmos DB

Power BI

Power Platform

Python

PySpark

SQL

Foundry

Fabric

Job description

Northern Base in Bellevue, WA is seeking an Azure Data Engineer to design and maintain scalable data ingestion pipelines and data models for analytics. This 100% onsite role requires strong experience with Azure cloud services, Databricks, Cosmos DB, and Python, delivering clean, governed datasets to analysts and stakeholders.

You will collaborate across teams to ensure data quality, reliability, and timely data availability for reporting and analytics use cases.