Senior Data Engineer

📋 Description

• Build, automate, and manage near-real-time data ingestion pipelines for analytics.
• Build and maintain cloud-native big data environments on AWS with SQL/NoSQL/NewSQL.
• Lead data governance and data profiling to ensure data quality and data lineage metadata.
• Partner with data scientists and BI teams to design data models and processing logic.
• Design ETL processes to validate/transform data, compute metrics, and model features (Spark/Python/SQL/AWS).
• Guide build/buy/partner decisions for data infrastructure.

🎯 Requirements

• Bachelor's degree in CS or IT plus 8+ years of experience.
• Proficient in PLSQL, SQL, Python; strong SQL queries and ETL scripting.
• Expert in AWS: S3, Glue, Data Catalog, Redshift, Redshift Spectrum, Athena.
• Proficient with Postgres, Oracle, MySQL, SQL Server.
• Experience in performance tuning of DB operations.
• Familiarity with data governance and data security best practices.
• Passion for learning new technologies and ETL development.

🎁 Benefits

• Salary range $140,000–$165,000 annually; target $156,750 based on experience.
• Generous retirement package; medical, dental, vision; pre-tax plans; ESOP.
• Hybrid work with multiple U.S. offices (Orange, Oakland, Portland, Chicago, Boston).