Engineering Manager, Big Data, Job Understanding

ZipRecruiter•Seattle, WA
•$200,000 - $265,000•Hybrid

About The Position

ZipRecruiter’s Recommendations Ecosystem Group provides the backend machine learning and data platforms that connect job seekers to the right jobs. The Job Understanding team is the authoritative source for foundational job data, pipelines, and matching intelligence. The Engineering Manager will lead an experienced team responsible for core job ingestion pipelines and data stores, modernizing pipelines, storage, and access methods while improving data quality and security. The role focuses on rebuilding job ingestion, improving how job data is exposed to consuming engineering teams, handling low-structure user-generated content, and strengthening fraud detection and blocking. The manager will partner with engineering stakeholders, data scientists, and a dedicated Product Manager to balance requests and roadmap priorities, and will scale data pipelines for performance and maintainability so the company can use job information in real time and personalize the job seeker experience. The role leads, mentors, and unblocks a senior team of five engineers.

Requirements

  • At least 5 years of professional software development experience.
  • At least 2 years of experience as a software engineering leader.
  • Deep experience with modern big data frameworks such as Spark, Hadoop, and Hive.
  • Experience with streaming technologies such as Kafka, Flink, or Beam.
  • Strong computer science fundamentals, including data structures and algorithms, and strong coding skills.
  • Experience with containerization technologies such as Docker and Kubernetes.
  • Experience working on a B2C or B2B product.
  • Experience dealing with messy or unreliable data, including third-party datasets, data integrations, or migrations.
  • Ability to work with Product Managers to identify problems and turn them into engineering solutions; the posting also emphasizes curiosity, problem-solving, and deep understanding of the product.

Nice To Haves

  • Experience with cloud platforms such as GCP, AWS, or Azure.
  • Experience with modern data storage solutions such as Delta Lake, HBase, or Hudi.
  • Scala experience.

Responsibilities

  • Lead, mentor, and unblock a senior team of five 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 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 requests and roadmap priorities.
  • Scale data pipelines for performance and maintainability, enabling scalable, real-time use of job data and greater personalization of the job seeker experience.

Benefits

  • Competitive compensation.
  • Exceptional benefits package.
  • Flexible vacation and paid time off.
  • Employer-matched 401(k) plan.
  • Equity, bonuses, commission, or other forms of compensation may be provided depending on the position offered.
  • Medical, financial, and other benefits.
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