Engineering Manager, Big Data

Quick Facts

• Hybrid work environment (US-based roles may be remote)

Description

Lead an Engineering Manager team focused on job understanding and matching intelligence—modernizing job ingestion pipelines, storage/access methods, and data quality/security. You will guide a senior team of 5 engineers while rebuilding ingestion and improving how low-structure, messy user-generated content is handled. Own improvements to fraud detection and blocking, and ensure scalable real-time data operations for personalization.

Responsibilities

• Lead, mentor, and unblock a senior team of 5 engineers responsible for core job ingestion pipelines and data stores
• Drive the rebuild of the job ingestion pipeline and refine how job data is exposed to consuming engineering teams
• Prioritize initiatives that improve input data quality and handle low-structure user-generated content
• Own and lead improvements to fraud detection and blocking mechanisms
• Partner closely with engineering stakeholders, data scientists, and a dedicated product manager to balance requests and roadmap priorities
• Scale data pipelines for performance and maintainability to enable scalable real-time job understanding

Requirements

• 5+ years of professional software development experience
• 2+ years of experience as a software engineering leader
• Deep experience with modern big data frameworks (Spark, Hadoop, Hive)
• Streaming technologies experience (Kafka, Flink, Beam)
• Strong CS fundamentals (data structures, algorithms) and coding skills
• Experience with Docker and Kubernetes
• Experience working on a B2C or B2B product
• Experience handling messy/unreliable data (third-party datasets, data integrations, migrations)

Benefits

• Competitive compensation
• Exceptional benefits package
• Flexible vacation & paid time off
• Employer-matched 401(k) plan
• US base salary range: $200,000–$265,000