4 дня назад
Software Engineer (Data Platform)
Вакансия из Hirify Global, списка международных tech-компанийДля мэтча и отклика нужен Plus
Мэтч & Сопровод
Для мэтча с этой вакансией нужен Plus
Описание вакансии
Текст:
TL;DR
Software Engineer (Data Platform) (AI/blockchain data): Building highly available data services, ETL pipelines, and data models that process blockchain transaction activity at petabyte scale with an accent on real-time processing, sub-second querying, and operational reliability. Focus on architecting distributed systems, deploying large database clusters, and creating scalable automation for infrastructure maintenance.
Location: Remote in Brazil, São Paulo
Company
provides AI-powered intelligence solutions that help public and private sector agencies investigate illicit activity and disrupt crime.
What you will do
- Build highly reliable data services integrating with dozens of blockchains.
- Develop real-time ETL pipelines processing petabytes of structured and unstructured data.
- Design data models optimized for storage, retrieval, and sub-second blockchain data queries.
- Deploy and monitor large database clusters with a focus on performance and high availability.
- Collaborate with data scientists, backend engineers, and product managers on data models for TRM products.
- Create self-service automation for cluster scaling, database maintenance, disk management, and operational workflows.
Requirements
- Bachelor's degree or equivalent in Computer Science or a related field.
- 5+ years of experience architecting distributed systems and delivering projects from ideation through production.
- Strong programming skills in Python and proficiency in SQL or SparkSQL.
- Experience with data stores and engines such as Iceberg, Trino, BigQuery, StarRocks, or Citus.
- Experience with Airflow, DBT, Spark, Kafka, Flink, Docker, Terraform, Kubernetes, Datadog, or comparable technologies.
- Experience loading, querying, and transforming large datasets and deploying infrastructure in public clouds.
Nice to have
- Broad experience across data engineering, streaming workflows, data orchestration, and distributed database systems.
- Experience applying AI tools to accelerate workflows, solve problems, and improve output quality.
Culture & Benefits
- Distributed-first work environment with hubs in the United States, United Kingdom, and Singapore.
- High-ownership environment focused on speed, experimentation, continuous feedback, and measurable impact.
- Work on complex problems at the intersection of AI, national security, and crime prevention.
- Priorities may change quickly, with frequent collaboration and a high degree of ambiguity.
Hiring process
- Recruiter introduction, hiring manager discussion, and first- and final-round interviews.
- Most processes include a case study, AI skills assessment, and Leadership Principles interview.
- References are checked before an offer and onboarding.
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