Senior Data Engineer - Real-Time Pipelines (Remote Brazil)

Hidden Jobs; 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 completion bonuses

Job summary

Hidden Jobs seeks a senior data engineer to join a global data platform team responsible for building and operating high-scale, near real-time event pipelines that power product and service teams. The role is fully remote within Brazil, with operational coverage extending into US time zones and a focus on modern streaming infrastructure.

The candidate will design, implement, and maintain data pipelines, models, and orchestration, collaborating with product teams, SRE, security, and data

Qualifications

• 3–5+ years building production data platforms.
• Strong proficiency in Python, SQL and PySpark.
• Experience with AWS services and Lakehouse/Data Lake fundamentals.
• Clear verbal and written English communication for international collaboration.

Responsibilities

• Design, build, and maintain production event-driven data pipelines capable of ingesting thousands of events per second in near real time.
• Implement scalable data modeling and orchestration logic turning raw streams into optimized datasets for downstream consumers.
• Extend core data platform tooling and own release, monitoring, and maintenance of production pipelines.
• Partner with upstream product teams, downstream data consumers, SRE/infrastructure, and information security to ensure data quality, security, and compliance.
• Use agentic AI tools in daily workflows to speed up development, manage context effectively, and ship maintainable code.

Skills

Python

SQL

PySpark

AWS

Data lake basics

Real-time streaming

English communication

Job description

Hidden Jobs seeks a senior data engineer to join a global data platform team responsible for building and operating high-scale, near real-time event pipelines that power product and service teams. The role is fully remote within Brazil, with operational coverage extending into US time zones and a focus on modern streaming infrastructure.

The candidate will design, implement, and maintain data pipelines, models, and orchestration, collaborating with product teams, SRE, security, and data