Data Engineer

Experience building and maintaining large-scale data pipelines with a focus on scalability, performance, reliability, and data quality (Required). • Good problem-solving skills with the ability to investigate complex data issues and derive actionable insights (Good to Have).

Role: Data Engineer
Location: Onsite - 3 days/week ( Raleigh, NC, Cupertino, CA, Austin, TX)
Duration: 6+ months 

Only W2

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)