Future Electronics is seeking a Data Engineer with a focus on analytics to optimize data pipelines in a hybrid working environment. Drive machine learning and AI initiatives through effective data management.
In this position, you will design and maintain productive ETL/ELT data pipelines while working closely with analysts and AI teams. Your responsibilities will include transforming and integrating data from various sources and building high-quality datasets that support operational and strategic objectives. You will also ensure data is monitored for quality and performance across systems.
Key Responsibilities:
• Maintain ETL/ELT pipelines for enterprise data
• Extract and integrate data from Oracle and SQL Server
• Create AI-ready datasets for machine learning




• Monitor data quality and implement reconciliation processes
• Collaborate with analytics teams for scalable data solutions
Requirements:
• Strong expertise in Python, SQL, and PySpark
• Familiarity with data governance frameworks
• Experience with Azure Fabric Lakehouse/Warehouse
• Understanding of data modeling concepts
• Background in preparing datasets for analytics
Utilize your skills as a Data Engineer to enhance decision-making capabilities at Future Electronics.
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📌 Data Engineer – Analytics Focus at Future Electronics (Kirkland)
🏢 Future Electronics
📍 Kirkland