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KnowBe4 via Greenhouse

Senior Data Engineer (Remote in Brazil)

Brazil senior
still open verified 14h ago posted 7d ago seen 4h ago
Apply at job-boards.greenhouse.io

This is the employer's own posting, not a copy on a job board.

What we know

Is it still open?

Confirmed still open

Last checked 14h ago — checked against the employer's own applicant tracking system, which is the company answering directly.

We re-read the employer's own applicant tracking system and the posting was still there. That is the company answering directly.

Check this listing's status as JSON

How old is it?

Posted 7d ago

The date the source published, not the day we noticed it (2026-09-24). Last seen at its source 4h ago.

We have tracked this listing since 24 Sep 2026 (7 days). The employer's own board has carried it every time we have read it, most recently 4 hours ago.

Is it remote?

The listing says yes

The location field doesn't say remote, so our assessment is based on the title or the description. Read the listing before applying.

Who may apply?

Brazil

The description agrees: it names Brazil.

What the ad says
…Position open to candidates located in Brazil…
…candidates located in Brazil…

Pay not stated

Similar roles pay $88.5k–136.5k/yr

Middle 50% of 24 listings that do state pay — Engineering · all levels · Brazil · USD/year. This employer has published no salary; this is what comparable listings we hold disclose, never converted between currencies or periods. How this is calculated.

Skills named in the ad

AWSData ModelingData WarehouseETLPythonSQLSpark

Recognised terms only, from a fixed vocabulary — this is what CV matching compares against.

Carried by 1 source

The listing

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.
  • Utilize agentic AI tooling in daily workflows to accelerate development, improve context management, and write maintainable code.
Requirements & Qualifications
  •  ~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

We offer company-wide bonuses based on monthly sales targets, employee referral bonuses, adoption assistance, tuition reimbursement, certification reimbursement, and certification completion bonuses - all in a modern, high-tech, and fun work environment. For more details about our benefits in each office location, please visit www.knowbe4.com/careers/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.

Apply at job-boards.greenhouse.io