TL;DR
Staff Data Engineer (GCP): Designing and evolving the backbone of real-time data processing systems for a high-scale platform with an accent on stream processing, data modeling, and distributed architecture. Focus on building high-throughput pipelines, ensuring data quality, and leading technical initiatives to support AI and intelligent automation at global scale.
Location: Remote, hybrid, or onsite in Brazil
Company
hirify.global is a global technology company focused on conversational experiences, intelligent automation, and data-driven platform services.
What you will do
- Design, implement, and optimize high-throughput, low-latency data pipelines handling billions of events daily.
- Build scalable ingestion frameworks leveraging Kafka, Flink, and cloud-native services.
- Define and implement data models across streaming and analytical layers to ensure semantic alignment.
- Establish observability, lineage, and data quality validations for critical data flows.
- Lead technical architecture reviews, mentor engineers, and promote high craftsmanship standards within the data team.
Requirements
- 6+ years of professional experience in Data Engineering or distributed systems roles.
- Hands-on experience with Apache Kafka, Flink, Spark Streaming, and GCP data services.
- Strong command of Python/PySpark and SQL for complex data processing.
- Deep understanding of event-driven architectures, CDC, and real-time data modeling.
- Must be based in Brazil.
Nice to have
- Experience with event sourcing, CQRS, or feature store architectures.
- Knowledge of real-time machine learning serving or agentic data pipelines.
- Contributions to open-source streaming frameworks.
Culture & Benefits
- Flexible working hours and hybrid work policies.
- hirify.global Setup support and home office allowance.
- Health and dental insurance with national coverage.
- Extended maternity/paternity leave and daycare support.
- Education incentives and Wellhub (Gympass) access.
- Annual hirify.global Recharge (5 days of paid time off for non-hourly roles).
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