Senior Data Engineer (Remote in Brazil)

The company empowers the modern workforce to make smarter security decisions every day. Trusted by more than 70,000 organizations worldwide, the company is the pioneer of digital workforce security, securing both AI agents and humans. The company 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, the company 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:  [link for members]

Glassdoor :  [link for members]

LinkedIn :  [link for members]

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  [link for members] .

Note: An applicant assessment and background check may be part of your hiring procedure.

Individuals seeking employment at the company 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 [link for members]

No recruitment agencies, please.