Senior Software Engineer (Big Data)
Posted Updated
- Our team has a unique opportunity to work on applications and data at scale, serving millions of jobseekers and tens of thousands of customers
- We’re working on building an efficient marketplace of jobseekers and employers and need generalist software engineers to build fast, scalable, and effective applications, stream and batch data processing, ML infrastructure and a variety of other systems all to help connect people to their next job
- We provide an essential service and have a thriving business as a result
- Build data processing and exploration pipelines along with ML infrastructure to power our intelligence
- Deploy a range of cloud-based technologies for critical projects
- Write, test, instrument, and deploy code to our Kubernetes environment
- Help drive the innovation and evolution of ZipRecruiter
- We’re working on data driven systems and applications and need people who can build fast services and processes to power all of the intelligence we use to help change people’s lives
- Our stack is complex and we’re looking for engineers who know how to write evolvable, properly instrumented, and efficient code as part of a growing distributed system
- Comprehensive computer science fundamentals in coding, object-oriented programming, data structures, and algorithms
- Experience with containerization technologies like Docker and/or Kubernetes
- 5+ 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
- 8+ years of professional software development experience, with a focus on Python and big data technologies
- BS/MS/PhD in Mathematics, Computer Science, Physics, related technical field or equivalent practical experience
- Experience with data integration tools like Apache Kafka, Flume, and NiFi
- Familiarity with data storage technologies such as Delta Lake, HBase, Cassandra, and MongoDB
- Familiarity with Apache Hudi, Apache Beam, Apache Flink, Google Cloud Dataflow, Amazon Kinesis Data Analytics, and/or Azure Databricks