Senior Data Engineer

Quick Facts

• Role: Software Developer (Data Engineering)
• Location: Remote (Yonkers, NY)

Description

Build and enhance scalable enterprise data platforms, including data warehouses, data lakes, and data models. Develop ETL/ELT pipelines and data ingestion frameworks for structured and unstructured data across batch and streaming, and create backend data services and APIs. Monitor pipeline health, enforce data quality and governance, and collaborate with technical and business teams to deliver data solutions.

Responsibilities

• Design, develop, and enhance scalable data platforms, data warehouses, data lakes, and data models
• Build and maintain ETL/ELT pipelines and data ingestion frameworks for batch and streaming
• Develop backend data services and APIs; optimize data processing performance; implement reusable data engineering components
• Monitor data pipelines; implement data quality and governance; troubleshoot issues; collaborate with technical and business teams

Requirements

• Bachelor’s degree in a related field or equivalent combination of education and experience
• 5+ years in data engineering (or related)
• 5+ years of Python programming
• 4+ years with Apache Spark / PySpark
• 2+ years developing backend systems and RESTful APIs
• Experience with enterprise data platforms, data warehouses, and data integration for analytics/reporting
• Experience managing structured and unstructured data across multiple systems
• Experience implementing data governance, data quality, data lineage, security, and compliance
• Ability to communicate with technical and business stakeholders
• Ability to prepare project documentation, status updates, and deliverables
• Work authorization for the United States (sponsorship may be considered where permitted)

Benefits

Not specified in the posting.