Data Engineer II: Azure Data Lake & Analytics

340 Crane Electronics, Inc.; Lynnwood (WA); On-site; USD 100,000 - 129,000; Full time

Benefits offered by this job

Health insurance

401k with company match

Education reimbursement

Paid time off

Job summary

Crane Aerospace & Electronics in Lynnwood, WA is hiring a Data Engineer II to join our IT team on-site. You will help build a data lake from ERP systems, develop data workflows, and collaborate with data architects and analysts to deliver analytics solutions.

The role requires 3–4 years in data warehousing/ETL, experience with SQL, Azure, and BI tools, and a solid foundation in programming. We offer a comprehensive benefits package and a collaborative, growth‑minded engineering culture.

Qualifications

• 3–4 years of experience building Data Warehouses and dimensional models with ETL development.
• 1–2 years of experience building reports and dashboards using Tableau, Power BI, QLIK, T-SQL, or PL/SQL.
• Knowledge of Relational Databases, dimensional data warehouse, ETL processes.
• Experience with Cloud services such as Azure/AWS/GCP; strong problem-solving skills and ability to collaborate across teams; knowledge of Python/Py-Spark or similar.
• Bachelor or higher degree in computer science, Engineering, Information Systems, or other quantitative fields.

Responsibilities

• Develop complex SQL queries, stored procedures, and views for data analysis and modeling.
• Maintain/upgrade data platform solutions on Azure and Power BI.
• Build data integrations and data pipelines to deliver analytics.
• Create KPIs and metrics to support business decisions.
• Extract, cleanse, and transform data from diverse sources for end-to-end analytics.

Skills

Data Warehousing

ETL Development

SQL & Data Modeling

Python/Py-Spark

Education

Bachelor’s or higher in CS/Engineering/IS

Tools

Tableau

Power BI

SQL Server/Oracle tools

Job description

Crane Aerospace & Electronics in Lynnwood, WA is hiring a Data Engineer II to join our IT team on-site. You will help build a data lake from ERP systems, develop data workflows, and collaborate with data architects and analysts to deliver analytics solutions.

The role requires 3–4 years in data warehousing/ETL, experience with SQL, Azure, and BI tools, and a solid foundation in programming. We offer a comprehensive benefits package and a collaborative, growth‑minded engineering culture.