Data Engineer

Guardio is on a mission to redefine consumer cybersecurity for the modern internet.

We operate at consumer scale, protecting millions of people every day across devices, accounts, and digital touchpoints. In a world where phishing, fraud, and AI-powered scams evolve overnight, Guardio stays ahead of the curve.We move fast, think deeply, and build with purpose. Our culture is rooted in transparency, feedback, and collaboration along with shared wins, team dinners, company trips, and good times.We’re a team of 100+ makers, doers, and boundary-breakers. If you’re ready to tackle meaningful challenges, grow at lightning speed, and help shape the next frontier of online safety, you belong here!

So, what's the job?

We are seeking an experienced Data Engineer to join Guardio’s Data Team. In this role, you will take ownership of building and optimizing the infrastructure, tools, and data processes that empower the entire organization. You'll collaborate with cross-functional teams to ensure reliable data pipelines, efficient integrations, automation, and accessibility of high-quality data to drive business growth and operational excellence.

You will:

• Take technical ownership of data infrastructure components, including ingestion pipelines, data transformations, and storage solutions
• Design and implement scalable data architectures that support analytics, reporting, and automation across various domains (User Acquisition, Growth, etc.)
• Develop and maintain integrations with internal systems and third-party APIs to collect, transform, and serve data across platforms
• Collaborate with stakeholders to define data requirements, troubleshoot issues, and ensure data quality and integrity
• Monitor, debug, and optimize pipeline performance, ensuring system reliability and minimal downtime
• Develop tools and automation to streamline data workflows, enhance team productivity, and reduce manual effort
  
  

• 3+ years of experience as a Data Engineer
• Strong understanding of data pipeline design, ETL/ELT workflows, APIs, and data integration patterns
• High proficiency in SQL and experience with data warehouse modeling
• Solid programming skills in Python for building pipelines and automation
• Experience with Cloud platforms such as GCP or AWS
• Familiarity with modern data stack tools and platforms such as BigQuery, DBT, Airflow or similar
• Experience working with Kubernetes and Docker - An advantage
• Strong problem-solving skills and the ability to work effectively with cross-functional teams