Software Engineer, Big Data

🔥 7 hours ago

🇺🇸 United States – Remote

💵 $130k - $175k / year

⏰ Full Time

🟢 Junior

🟡 Mid-level

🧑‍💻 Full-stack Engineer

🚫👨‍🎓 No degree required

🦅 H1B Visa Sponsor

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Logo of ZipRecruiter

ZipRecruiter

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

• Build data processing and exploration pipelines along with ML infrastructure to power ZipRecruiter’s intelligence • Deploy a range of cloud-based technologies for critical projects • Write, test, instrument, and deploy code to a Kubernetes environment • Help drive the innovation and evolution of ZipRecruiter • Build fast, scalable, and effective applications, stream and batch data processing, ML infrastructure, and other systems serving millions of jobseekers and tens of thousands of customers

🎯 Requirements

• 2+ years of professional software development experience with a focus on Python and big data technologies • Experience with Spark, Kafka, Hadoop, Hive, and/or other big data technologies • Comprehensive computer science fundamentals in coding, object-oriented programming, data structures, and algorithms • Experience with containerization technologies like Docker and/or Kubernetes • Preferred: 4+ years of professional software development experience with a focus on Python and big data technologies • Preferred: Experience with data integration tools like Apache Kafka, Flume, and NiFi • Preferred: Familiarity with data storage technologies such as Delta Lake, HBase, Cassandra, and MongoDB • Preferred: Familiarity with Apache Hudi, Apache Beam, Apache Flink, Google Cloud Dataflow, Amazon Kinesis Data Analytics, and/or Azure Databricks • Preferred: BS/MS/PhD in Mathematics, Computer Science, Physics, related technical field, or equivalent practical experience

🏖️ Benefits

• 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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