Senior or Staff Software Engineer, Data Platform (Brazil)

Role overview

A senior-level engineering role within a data platform team building petabyte-scale infrastructure that powers blockchain analytics products. The position centers on designing highly available data services, real-time ETL pipelines, and storage models that support sub-second query latency on massive datasets. Engineers collaborate closely with data scientists, product managers, and backend teams that serve public- and private-sector clients depending on the platform for investigative and security workflows.

Responsibilities

- Build reliable data ingestion services that connect to many different blockchain networks. - Design and operate real-time ETL pipelines that transform structured and unstructured data at petabyte scale. - Architect data models and storage layouts that optimize query performance and support sub-second latency. - Deploy, monitor, and tune large distributed database clusters with a focus on uptime and cost efficiency. - Partner with data scientists, backend engineers, and product managers to design models that unlock new product capabilities.

Requirements

- Bachelor's degree in Computer Science or a related field, or equivalent practical experience. - Five or more years of experience architecting distributed systems from ideation through production. - Strong programming ability in Python plus working knowledge of SQL or SparkSQL. - Hands-on experience with one or more data stores such as Iceberg, Trino, BigQuery, StarRocks, or Citus. - Familiarity with orchestration tools like Airflow or DBT and streaming frameworks such as Spark, Kafka, or Flink. - Production experience deploying infrastructure on a public cloud with Docker, Terraform, Kubernetes, and Datadog.