Engineering Manager, Big Data, Job Understanding

ZipRecruiter•Austin, TX
•$200,000 - $265,000•Hybrid

About The Position

ZipRecruiter’s Recommendation Ecosystem Group provides backend machine learning and data platforms that connect job seekers to relevant jobs. Within the group, the Job Understanding team is the authoritative source for foundational job data, pipelines, and matching intelligence. The Engineering Manager will lead an experienced team while modernizing core data pipelines, storage solutions, and access methods, and improving data quality and security systems. The role leads, mentors, and unblocks a senior team of five engineers responsible for core job ingestion pipelines and data stores. It drives the rebuilding of the job ingestion pipeline and improves how job data is exposed to consuming engineering teams. The manager prioritizes work to improve input data quality and handle low-structure, user-generated content, and leads improvements to fraud detection and blocking mechanisms. The manager partners with engineering stakeholders, data scientists, and a dedicated Product Manager to balance requests and roadmap priorities. The team scales data pipelines for performance and maintainability so it can act on job information in a scalable, real-time manner and support ambitious data collection and personalization of the job seeker experience.

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, or Hive.
  • Experience with streaming technologies such as Kafka, Flink, or Beam.
  • Strong computer science fundamentals, including data structures and algorithms, and 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, such as third-party data sets, data integrations, or migrations.
  • Ability to work with Product Managers to identify problems and translate them into engineering solutions.

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 and enable scalable, real-time use of job information.

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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