Engineering Manager, Big Data

Quick Facts

• Hybrid work environment (most US roles can be remote)

Description

Engineering Manager for the Job Understanding and Recommendations Ecosystem, responsible for modernizing core data pipelines, storage solutions, and access methods. You will lead a team that rebuilds the job ingestion pipeline, improves input data quality for messy/unstructured content, and strengthens data security and fraud detection/blocking. The goal is to enable scalable real-time job understanding that powers personalized job recommendations.

Role Responsibilities

• Lead, mentor, and unblock a senior team of 5 engineers focused on 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 underlying input data quality and handle low-structure, user-generated content
• Own and lead improvements to fraud detection and blocking mechanisms
• Partner with engineering stakeholders, data scientists, and a dedicated product manager to balance roadmap priorities
• Scale data pipelines for performance and maintainability so the organization can act on job insights in real time

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 (Kafka, Flink, Beam)
• Strong CS fundamentals (data structures, algorithms) and coding skills
• Experience with containerization technologies (Docker, Kubernetes)
• Experience working on a B2C or B2B product
• Experience dealing with 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