Job description

Job ID: 22-573
OPEN TO REMOTE - US, Except Colorado

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 220,000 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

As a senior data engineer you will be working with large datasets transforming, enriching, operationalizing data and building data applications. In this role, you will work closely with software engineers, data scientists, machine learning engineers, product owners and other stakeholders to enable product-led growth across the organization. As a critical member of the team, your work will positively impact top-line growth for the company.


What you'll be working on

  • Design and implement data applications in collaboration with product teams to drive product-led growth initiatives across the Barracuda product portfolio
  • Build reverse ETL pipelines to integrate with external systems to operationalize data from our customer data platform. Including building and integrating REST APIs, web hooks etc.
  • Ensure integration systems are secure, compliant, efficient, and scalable. Ensure data quality
  • Collaborate with company leadership, finance, product, data and design teams across the organization to design and implement early warning and alerting systems to drive customer engagement, actionable insights for customer acquisition, retention and other key business performance metrics.
  • Design, implement and support infrastructure required for optimal transformation and integrations in collaboration with data scientist and ML engineers
  • Identify requirements and create methods to enrich data from multiple sources
  • Play a key role in adopting best practices and defining data modeling standards

What you bring to the role

  • Bachelor's degree in Computer Science, Mathematics or related field
  • 5+ years of industry experience as a Data Engineer working on large data sets building data frameworks and data products
  • Excellent programming skills in one or more of the following languages: Python, Go, Java
  • Advanced SQL knowledge and experience with relational and NoSQL databases
  • Experience with data modeling, data warehousing, and data pipelines. Experience using tools such as dbt, Airflow, Luigi etc.
  • Experience developing algorithms and statistical models to analyze and interpret data sets, identifying trends/patterns. Experience with data visualization
  • Experience with public cloud, preferably AWS and services such as Redshift, S3, ECS, EC, Kinesis etc.
  • Working knowledge of message queuing and streams processing
  • Experience with Spark, Databricks, Hadoop and related technologies is a plus
  • Experience providing technical leadership and mentoring to other engineers on data engineering
  • Ability to communicate clearly and use a collaborative approach across boundaries to get work done

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.

  • High-quality health benefits
  • Retirement Plan with employer match
  • Career-growth opportunities
  • Flexible Time Off and Paid Time Off benefits
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