Engineering Manager, Big Data, Job Understanding
About The Position
ZipRecruiter’s Recommendation Ecosystem Group provides backend machine learning and data platforms that connect job seekers to relevant jobs. The Job Understanding team is the authoritative source for foundational job data, pipelines, and matching intelligence. The Engineering Manager leads an experienced engineering team responsible for job ingestion pipelines and data stores, modernizing core data pipelines, storage solutions, and data access while improving data quality and security. The role works with engineering stakeholders, data scientists, and a dedicated Product Manager to balance requests and roadmap priorities, and ensures job data can be used at scale in real time to support personalization.
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 handling messy or unreliable data, including third-party datasets, data integrations, or migrations.
- Ability to work with Product Managers to identify problems and develop engineering solutions; curiosity, problem-solving ability, and a 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.
- Experience with Scala.
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 input data quality and address 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 so the company can collect and use more data to personalize the job seeker experience.
- Ensure the team can act on job-related insights in a scalable, real-time manner.
Benefits
- Competitive compensation.
- Exceptional benefits package.
- Flexible vacation and paid time off.
- Employer-matched 401(k) plan.
- Depending on the position offered, equity, bonuses, commission, or other forms of compensation may be provided.
- Medical, financial, and other benefits.
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What This Job Offers
Job Type
Full-time
Career Level
Manager
Education Level
No Education Listed
