Senior Data Engineer (Remote in Brazil)

About this role

KnowBe4 empowers the modern workforce to make smarter security decisions every day. Trusted by more than 70,000 organizations worldwide, KnowBe4 is the pioneer of digital workforce security, securing both AI agents and humans. The KnowBe4 Platform provides attack simulation and training, collaboration security, and agent security powered by AIDA (Artificial Intelligence Defense Agents) and a proprietary Risk Score. The platform leverages 15-years of behavioral data to combat advanced threats including social engineering, prompt injection, and shadow AI.

By securing humans and agents, KnowBe4 leads the industry in workforce trust and defense. Position open to candidates located in Brazil . Please submit your resume in English. To learn more about our team and office culture in São Paulo, Brazil, visit the following links. Careers Page: https://www.knowbe4.com/careers/locations/sao-paulo Glassdoor : https://www.glassdoor.com/Location/KnowBe4-S%C3%A3o-Paulo-Location-EI_IE969384.0,7_IL[…]M_-C1lsxoZq7Cx8IriVE8MkrzuTmnJzqego77RAWZz9sqGt_55BflwYKpQeg LinkedIn : https://www.linkedin.com/company/knowbe4/life/brazil/ As a Senior Data Engineer on our global data platform team, you will build and maintain high-scale, near real-time data pipelines to support our expanding global product and service teams.

Working in a remote environment based in Brazil, you will extend operational support across US time zones while working with high-throughput event streams and modern data platforms. Key Responsibilities Design, build, and maintain the data platform's core infrastructure and tooling, including pipelines, orchestration, and warehousing, that other teams build on top of, while communicating design decisions clearly to both technical and non-technical stakeholders.

Implement scalable data modeling designs and orchestration logic to transform raw event streams into optimized data models for downstream business consumption. Extend core data platform toolsets and manage the release, monitoring, and maintenance of production data pipelines. Partner directly with upstream product teams generating data, downstream consumers, SRE/Infrastructure, and InfoSec to ensure data quality, security, and pipeline compliance.