Data Engineer - Data Products
Location- Raleigh, NC (preferred), Cupertino, CA; Austin, TX
Only w2 No C2C
Only USC/GC/TN NO H1B
Minimum Qualifications
• 8+ years of experience designing, developing, and deploying next-generation analytical data products
• Strong hands-on experience in SQL, Spark, and Scala, and data pipeline tools
• Experience in data modeling and analytics is a plus
Preferred Qualifications
• Strong hands-on experience with SQL, Spark, and Scala in a production environment (Required)
• Experience building and maintaining large-scale data pipelines with a focus on scalability, performance, reliability, and data quality (Required)
• Experience with modern data platforms and Lakehouse technologies (e.g., Iceberg, Trino, Superset) (Required)
• Good understanding of data modeling, analytics, and metric design (Good to Have)
• Good problem-solving skills with the ability to investigate complex data issues and derive actionable insights (Good to Have)
• Exposure to AI/ML, recommendation systems, feature engineering, GenAI, RAG, or other AI-powered data products is a strong plus — role is not exclusively AI-focused (Good to Have)