Barracuda Networks

Principal Data Engineer

USD 181k - 199k
Scala Java AWS Kafka Spark SQL C++ Machine Learning DynamoDB Streaming Python
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Description

Job ID 25-156

Come Join Our Passionate Team!  At Barracuda, we make the world a safer place. We believe every business deserves access to cloud-enabled, enterprise-grade security solutions that are easy to buy, deploy, and use. We protect email, networks, data and applications with innovative solutions that grow and adapt with our customers’ journey. More than 200,000 organizations worldwide trust Barracuda to protect them — in ways they may not even know they are at risk — so they can focus on taking their business to the next level.   
   
We know a diverse workforce adds to our collective value and strength as an organization.  Barracuda Networks is proud to be an Equal Opportunity Employer, committed to equal employment opportunity and equitable compensation regardless of race, gender, religion, sex, sexual orientation, national origin, or disability.  
   
Envision yourself at Barracuda   
The Barracuda Central Intelligence team is hiring an ambitious and driven Principal Data Engineer. This position is a critical piece of Barracuda’s mission to provide the absolute best in class protection efficacy to our customers through Intelligent Automation, Machine Learning, and Artificial Intelligence. The Barracuda Central Intelligence team is responsible for collecting, aggregating, enriching, and distributing threat intelligence across the company to develop threat detection systems that protect our customers.   

 

Tech Stack 
  • Databricks, Snowflake, or other distributed computing platform  
  • AWS Cloud Databases: RDS, Opensearch, DynamoDB, etc  
  • Streaming Technologies: Kafka, Kinesis, etc  
  • Spark, Python, SQL, Scala, or other high-level language at scale (C++, Java)  
What you’ll be working on  
  • Setting standards for data handling and scaling our data processes   
  • Ingesting, processing, enriching, and distributing very large datasets  
  • Optimizing systems for a balance of cost and business impact  
  • Designing data pipelines along with our Machine Learning and Data Enrichment teams to enable and scale our Machine Learning Operations objectives  
What you bring to the role  
  • Strong sense of ownership, desire to lead, and a growth mindset  
  • Deep understanding of distributed computing and experience building large data systems  
  • A high degree of engineering rigor and uncompromising drive for quality  
What you’ll get from us  
A team where you can voice your opinion, make an impact, and where you and your experience are valued. Internal mobility – there are opportunities for cross training and the ability to attain your next career step within Barracuda.   
  
  • Equity, in the form of non-qualified options
  • High-quality health benefits
  • Retirement Plan with employer match
  • Career-growth opportunities
  • Flexible Time Off and Paid Time Off benefits
  • Volunteer opportunities
Campbell, CA only. The anticipated on-target earnings range for this role is $181,000-$199,000. Actual compensation offered will be dependent upon the individual's skills, experience, and qualifications as they directly relate to the requirements of the position, the budget for the position, and applicable employment laws.   
 
#LI-Hybrid

 

Barracuda Networks
Barracuda Networks
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