Engineering Manager, Big Data

🔥 0 minutes ago

🇺🇸 United States – Remote

💵 $200k - $265k / year

⏰ Full Time

🟡 Mid-level

🟠 Senior

👮‍♀️ Software Engineering Manager

🦅 H1B Visa Sponsor

This company has sponsored H1B visas in the past.

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ZipRecruiter

WebsiteLinkedInAll Job Openings

1001 - 5000 employees

Founded 2010

🎯 Recruiter

👥 HR Tech

🤝 B2B

💰 $550M Post-IPO Debt on 2022-01

Recruitment • HR Tech • B2B

ZipRecruiter is an online employment marketplace that connects job seekers with employers. It offers a platform where candidates can create profiles and search for jobs, while employers can create accounts to list job openings. The platform sends instant job alerts to potential candidates using powerful matching technology, ensuring convenience for job seekers and efficient recruitment for businesses. ZipRecruiter's services are utilized by small & medium businesses, enterprise businesses, and individual job seekers alike, aiming to streamline the job search and recruitment process.

📋 Description

• 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 handle low-structure, user-generated content • Own and lead improvements to fraud detection and blocking mechanisms • Partner with Engineering stakeholders, Data Scientists, and a Product Manager to balance requests and roadmap priorities • Scale data pipelines for performance and maintainability • Enable scalable real-time action on job intelligence and support personalized job seeker experiences

🎯 Requirements

• 5+ years of professional software development experience • 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, including Kafka, Flink, and Beam • Strong computer science fundamentals in data structures and algorithms • 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, and migrations • Product-oriented problem-solving ability and understanding of the product worked on

🏖️ Benefits

• Competitive compensation • Exceptional benefits package • Flexible Vacation & Paid Time Off • Employer-matched 401(k) plan • Medical, financial, and other benefits • Equity, bonuses, commission, or other forms of compensation may also be provided depending on the position offered

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