Senior Data Engineer (Remote in Brazil)

Openkrill; United States; Remote; USD 120,000 - 180,000; Full time

Benefits offered by this job

Company bonuses

Referral bonuses

Adoption assistance

Tuition reimbursement

Certification reimbursement

Certification bonuses

Job summary

KnowBe4 is hiring a Senior Data Engineer to build and maintain a high-scale, near real-time data platform for global product teams. You will work from Brazil in a remote environment, coordinating across US time zones while handling high-throughput event streams and modern data platforms.

You will design core infrastructure and tooling, transform raw streams into optimized data models, and ensure data quality and security in collaboration with SRE/InfoSec and product teams.

Qualifications

• 3–5+ years hands-on data engineering building production platforms.
• Proficient in Python, SQL, and PySpark.
• Experience with AWS cloud services and Lakehouse/Data Lake fundamentals.
• Familiarity with high-throughput event streaming and real-time processing.
• Strong English communication across international teams.

Responsibilities

• Design and maintain the data platform infrastructure, pipelines, orchestration, and warehousing.
• Implement scalable data models and orchestration to transform streams into optimized data models for downstream use.
• Extend data platform tooling and manage release, monitoring, and maintenance of production pipelines.
• Collaborate with product teams and SRE/InfoSec to ensure data quality and security.
• Incorporate AI tooling to accelerate development and improve context management.

Skills

Python

SQL

PySpark

Data pipelines

Real-time processing

Tools

AWS

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-pauloGlassdoor: https://www.glassdoor.com/Location/KnowBe4-S%C3%A3o-Paulo-Location-EI_IE969384.0,7_IL[…]M_-C1lsxoZq7Cx8IriVE8MkrzuTmnJzqego77RAWZz9sqGt_55BflwYKpQegLinkedIn: 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.