We're building - come build with us!
Censys is seeking a Data Engineer to help grow our data processing pipeline. We perform billions of network handshakes and DNS lookups per hour as well as consume external data feeds to maintain an up-to-date view of all hosts and networks on the Internet You will help build and maintain the processing pipeline that consumes inbound data feeds to produce a consistent view of Internet hosts. We leverage the Google Cloud Platform (including Google Dataflow, Bigtable, and BigQuery) for processing data as well as build our own analysis tools. Your responsibilities will include exploring new ways of processing and analyzing incoming network data, and building out our data processing pipeline.
The types of things you’ll do:
- Work with Apache Beam, Airflow, Google Dataflow, BigTable, and BigQuery to build the next generation of the Censys data processing pipeline
- Design automated solutions for building, testing, monitoring, and deploying ETL pipelines in a continuous integration environment
- Work with application engineers to develop internal APIs and data solutions to power Censys product offerings
- Coordinate with backend engineering team to analyze data in order to improve the quality and consistency of our data
- Bachelor's degree in Computer Science or related field, or equivalent experience
- 3+ years of full-time, industry experience
- Deep understanding of relational as well as NoSQL data stores (e.g., Snowflake, Redshift, BigTable, Spark) and approaches
- Hands-on experience building data processing pipelines (e.g, in Storm, Beam)
- Proficiency with object-oriented and/or functional languages (e.g. Java, Scala, Go)
- Strong scripting ability in Python/Ruby/BASH
We celebrate diversity and are committed to creating an inclusive environment for all employees. Censys is an equal opportunity employer.