Senior Data Engineer (Remote in Brazil)
Brazil
- Pay
- Salary not listed in the saved posting
- Work setup
- Unconfirmed
- Employment
- Unconfirmed
What you’ll work on
Full postingImplement scalable data modeling designs and orchestration logic to transform raw event streams into optimized data models for downstream business consumption.
Partner directly with upstream product teams generating data, downstream consumers, SRE/Infrastructure, and InfoSec to ensure data quality, security, and pipeline compliance.
From the employer’s posting
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.
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.
Tools in this posting
- Python
- SQL
- AWS
- PySpark
Source — Tool mentions in context
- ~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.
- 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.
Job description
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.
- 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.
- 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.
Our Fantastic Benefits
Note: An applicant assessment and background check may be part of your hiring procedure.
Individuals seeking employment at KnowBe4 are considered without prejudice to race, color, religion, national origin, age, sex, marital status, ancestry, physical or mental disability, veteran status, gender identity, sexual orientation or any other characteristic protected under applicable federal, state, or local law. If you require reasonable accommodation in completing this application, interviewing, completing any pre-employment testing, or otherwise participating in the employee selection process, please visit www.knowbe4.com/careers/request-accommodation.
No recruitment agencies, please.
Your next step
- Have your CV and examples of relevant work ready.
- Check the listed location, eligibility and core experience before starting.
- Ask the employer about the salary range before committing time to the process.
Complete your application on job-boards.greenhouse.io. The employer’s form will show what is required.
Already applied? Track this application
Source & posting history
Source notes
Source excerptsSelected passages from the saved posting. Check the full description for conditions and exceptions.
- Pay
No pay amount identified in the saved description.
- Location & working pattern
Brazil
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
- Work authorization
No clear work-authorization passage found. Eligibility is unconfirmed.
- Status in our records
- Active
- First seen by us
- Sep 25, 2026
- Recorded sightings
- 9
- Last seen by us
- Oct 7, 2026
These dates show when we found the listing. Check the employer’s website to confirm it is still accepting applications.
Report an errorSee how this role fits your experience
Add your resume to compare the role’s scope, tools and requirements with your experience.