Snr. Data Engineer (Remote in Brazil)

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.

• Design, build, and maintain production-grade, event-based data pipelines capable of processing thousands of events per second in near real-time.
• 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.
• Utilize agentic AI tooling in daily workflows to accelerate development, improve context management, and write maintainable code.

•  ~3–5+ years of hands-on data engineering experience building production data platforms (formal degree not strictly required; relevant hands-on impact is prioritized).
• Strong proficiency with Python, SQL, and PySpark.
• Solid practical experience with AWS cloud services and Lakehouse/Data Lake fundamentas.
• Familiarity with high-throughput event-based data streaming and real-time processing patterns.
• Clear verbal and written English communication skills to collaborate effectively across international teams.

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.

• Design, build, and maintain production-grade, event-based data pipelines capable of processing thousands of events per second in near real-time.
• 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.
• Utilize agentic AI tooling in daily workflows to accelerate development, improve context management, and write maintainable code.

•  ~3–5+ years of hands-on data engineering experience building production data platforms (formal degree not strictly required; relevant hands-on impact is prioritized).
• Strong proficiency with Python, SQL, and PySpark.
• Solid practical experience with AWS cloud services and Lakehouse/Data Lake fundamentas.
• Familiarity with high-throughput event-based data streaming and real-time processing patterns.
• Clear verbal and written English communication skills to collaborate effectively across international teams.