
1001 - 5000 funcionários
Fundada em 2010
🎯 Recrutamento
👥 RH Tech
🤝 B2B
💰 $550.000.000 Post-IPO Debt em 2022-01
Recruitment • HR Tech • B2B
ZipRecruiter é um marketplace online de empregos que conecta candidatos a empregadores. Oferece uma plataforma em que candidatos podem criar perfis e buscar vagas, enquanto as empresas podem criar contas para anunciar oportunidades. A plataforma envia alertas de vagas em tempo real para candidatos em potencial usando poderosa tecnologia de matching, garantindo conveniência para quem busca emprego e recrutamento eficiente para os negócios. Os serviços da ZipRecruiter são utilizados por pequenas e médias empresas (PMEs), grandes empresas e candidatos individuais, com o objetivo de agilizar o processo de busca de vagas e de recrutamento.
🕒 4 dias atrás
🇺🇸 Estados Unidos – Remoto (EUA)
💵 $190.000 - $250.000 / ano
⏰ Tempo Integral
🟠 Sênior
🧑💻 Engenheiro Full-stack
🦅 Patrocina Visto H1B
👻 Score fantasma 0%
🗣️🇺🇸🇬🇧 Inglês obrigatório
De onde vem esta vaga
Publicada na página de carreiras da ZipRecruiter, não em um site de vagas
Vista pela primeira vez pelo Remote Rocketship 4 dias atrás
Ainda aberta no site da ZipRecruiter. Verificada 52 minutos atrás.

1001 - 5000 funcionários
Fundada em 2010
🎯 Recrutamento
👥 RH Tech
🤝 B2B
💰 $550.000.000 Post-IPO Debt em 2022-01
Recruitment • HR Tech • B2B
ZipRecruiter é um marketplace online de empregos que conecta candidatos a empregadores. Oferece uma plataforma em que candidatos podem criar perfis e buscar vagas, enquanto as empresas podem criar contas para anunciar oportunidades. A plataforma envia alertas de vagas em tempo real para candidatos em potencial usando poderosa tecnologia de matching, garantindo conveniência para quem busca emprego e recrutamento eficiente para os negócios. Os serviços da ZipRecruiter são utilizados por pequenas e médias empresas (PMEs), grandes empresas e candidatos individuais, com o objetivo de agilizar o processo de busca de vagas e de recrutamento.
• Design, build, deploy, and maintain data pipelines and systems that make web events available in the data lake and via event streams • Process large, evolving datasets using batch and streaming techniques while balancing speed, efficiency, and reliability • Design, build, deploy, and maintain MLOps frameworks and systems that accelerate machine learning development • Improve the velocity, quality, observability, and reliability of ML development and ML-powered products • Design, build, deploy, and maintain data documentation frameworks and tooling • Design, build, deploy, and maintain Sift, an agentic data exploration and analysis tool • Build scalable, reliable, and efficient infrastructure, tools, and processes for engineering teams
• 4+ years of professional software development experience, including building and operating data pipelines that feed into a customer facing product • Hands-on Apache Spark experience: writing, tuning and debugging batch and/or streaming jobs at scale • Experience deploying and operating containerized services and batch jobs • Solid computer science fundamentals: data structures, algorithms, distributed systems, and testing • Professional software development experience, including building and operating data pipelines and infrastructure that feed into a customer facing product • Preferred: 4+ years of professional software development experience with a focus on data-intensive systems • Preferred: Working knowledge of AWS (S3, IAM, EC2, MSK or equivalents) and instrumenting jobs with metrics, logs and alerts • Preferred: Experience with a data lake stack, including Parquet on object storage, AWS Glue or similar data catalog, and Apache Iceberg or Delta Lake • Preferred: Streaming experience with Kafka, Apache Flink, and/or Spark Structured Streaming • Preferred: Experience with Apache Airflow workflow orchestration, DAGs, backfills, dependency management, and on-call for scheduled pipelines • Preferred: Experience with open table format internals, including schema evolution, partitioning, and compaction • Preferred: Experience deploying services on Kubernetes with Docker • Preferred: Experience building and maintaining a data platform powering a user-facing product, including streaming and batch data ingestion, ETL pipelines, data permissions management, and data discovery • Preferred: BS/MS/PhD in Computer Science, Mathematics, Physics, or a related field, or equivalent practical experience
• Competitive compensation • Exceptional benefits package • Flexible Vacation & Paid Time Off • Employer-matched 401(k) plan • Potential equity, bonuses, commission, or other forms of compensation as part of total compensation package • Medical, financial, and other benefits
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