Software Senior Engineer

Job Description

 

Come join our passionate team! Barracuda is a leading cybersecurity company providing complete protection against complex threats. Our platform protects email, data, applications, and networks with innovative solutions, and a managed XDR service, to strengthen cyber resilience. Hundreds of thousands of IT professionals and managed service providers worldwide trust us to protect and support them with solutions that are easy to buy, deploy, and use. 

 

 We know a diverse workforce adds to our collective value and strength as an organization.  Barracuda Networks is proud to be an employer that complies with all applicable national, state and local laws pertaining to nondiscrimination and equal opportunity regardless of race, gender, religion, sex, sexual orientation, national origin, or disability. 

     

Envision yourself at Barracuda      

     

Barracuda’s XDR Engineering team is looking for a Software Senior Engineer to join the organization. The team builds the XDR customer-facing app, plus a lot of the behind-the-scenes integrations, services, and pipelines that power the product. Our product and our team are rapidly growing and you'll help shape and influence that growth (team processes & culture, app architecture, etc.) while also building out product depth & breadth. No prior cybersecurity knowledge is needed—but you will learn a lot about this hot topic while working here with us!     

     

What you'll be working on:     

What you bring to the role:     

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. In addition, you will receive equity, in the form of non-qualifying options. 

#LI-onsite 

 

Additional Job Description

The Senior Data Engineer is responsible for designing, building, and managing advanced ETL pipelines and scalable data architectures to handle large datasets and complex integrations. This role involves optimizing performance of data lakes and warehouses, overseeing data integration, and enforcing data security policies. The Senior Data Engineer creates detailed documentation, influences project outcomes, and applies specialized engineering knowledge to various issues. The role entails effective cross-functional collaboration to drive operational improvements and meet team goals.

Responsibilities

• Designs, builds, and manages advanced ETL pipelines and data workflows, ensuring scalability and efficiency for large datasets and complex integrations

• Implements performance improvements and optimizations for SQL and NoSQL databases, including query tuning, schema design, and indexing strategies • Develops and maintains scalable data architectures and data warehousing solutions, leveraging cloud technologies and big data platforms

• Oversees the integration and transformation of data from multiple sources, ensuring consistency and accuracy across different data platforms

• Designs and enforces data security policies and practices, including encryption, access controls, and compliance with data protection regulations

• Creates and maintains comprehensive documentation for data architectures, pipelines, and processes, and prepare reports on data engineering activities and performance metrics

• Cultivates effective relationships with internal/external partners and provides influence over projects and peer groups, demonstrating full understanding of area of specialization

 • Works under limited supervision and broad guidelines, regularly applying independent judgement on moderately complex matters

• Leverages specialized engineering knowledge in breadth and/or depth to a variety of projects within the team and works independently on several work areas within an engineering project

• Works in a project-oriented manner contributing towards team-level goals and suggests improvement to operational processes that influence team's delivery

Education

• Bachelor's/ master’s degree in computer science, engineering, mathematics or equivalent

Experience

• 5-8 years of experience in data engineering, including designing and optimizing complex ETL pipelines and data processing workflows or equivalent

Certifications (preferred):

• AWS Certified Data Analytics – Specialty or equivalent certification in cloud data services. • Google Cloud Professional Data Engineer or equivalent certification

Technical/Functional Skills

• Programming Languages • Data Integration • Cloud-based Data Platforms • Data Architecture • Big Data Technologies • Data Pipeline Development • Cloud Computing • Infrastructure as Code (IaC) tools • Data Warehousing • Data Ingestion Tools • Performance Tuning and Optimization