
1 - 10 employees
We created avra with a clear goal - to empower growth stage founders with the right foundation required to scale their company post Series A.
🕒 April 24
🗣️🇧🇷🇵🇹 Portuguese Required
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1 - 10 employees
We created avra with a clear goal - to empower growth stage founders with the right foundation required to scale their company post Series A.
• Pipeline & Workflow Orchestration. Design and operate orchestrated workflows, ensuring clear execution semantics, observability, and resilience. • Data Modeling & Transformation. Design and maintain scalable transformation layers using dbt, BigQuery, Spark, Ray or equivalent tools, enabling reliable downstream consumption. • Data Quality & Platform Standards. Define and enforce standards around data quality, contracts, schema validation, lineage, and metadata. • Handling Real-World Data Complexity. Work with incomplete, inconsistent, and evolving data sources. Handle schema drift, edge cases, and operational failures with strong engineering judgment. • Cloud & Infrastructure Integration. Operate within cloud-native environments (GCP/AWS), working with storage, messaging (e.g., Pub/Sub), and infrastructure as code. • Platform Improvement & Simplification. Continuously improve systems by increasing observability, reducing operational risk, and simplifying architecture.
• Experience - At least 5 years of experience building and operating data systems in production environments • Technical Proficiency - Strong Python and SQL skills, with experience in data pipelines, orchestration, and warehouse modeling • Operational Mindset - Experience managing data quality, observability, failure modes, and long-running production workflows • Collaboration - Strong communication skills and ability to work across engineering, product, and business teams
• Competitive Compensation - Attractive salary and equity participation • Ownership & Impact - Direct influence on the foundation of Avra’s data platform and its evolution • Technical Environment - Work on real-world data problems involving complex ingestion, reliability, and large-scale systems • Lean, High-Quality Team - Work closely with experienced engineers and founders in a high-context environment • Flexible Culture - Remote-first (Brazil), with flexible time off and a strong focus on autonomy
Apply Now🕒 April 23
Experienced Senior Data Engineer designing enterprise-grade data infrastructure while ensuring data quality and compliance. Collaborating with analytics teams and mentoring junior engineers in Brazil.
🗣️🇧🇷🇵🇹 Portuguese Required
Cloud
ETL
Python
SQL
Vault
🕒 April 21
Data Engineer Analyst transforming utility bill data into actionable datasets. Collaborate with cross-functional teams to design data models and build data pipelines.
🗣️🇧🇷🇵🇹 Portuguese Required
AWS
ETL
Postgres
Python
SQL
🕒 April 21
Senior Data Engineer supporting platform modernization efforts at Data Meaning, focusing on pipeline migration and operational stabilization in a collaborative remote environment.
Airflow
Apache
AWS
Cloud
Python
SQL
🕒 April 16
Senior Data Engineer for a global financial and insurance company, focusing on building data infrastructure for AI initiatives and analytics.
🗣️🇧🇷🇵🇹 Portuguese Required
Airflow
Amazon Redshift
Apache
AWS
Azure
BigQuery
Cloud
Docker
ETL
Google Cloud Platform
Kafka
Kubernetes
Neo4j
PySpark
Python
Spark
SQL
Terraform
Vault
🕒 April 16
Data Engineer leading the evolution of a petabyte-scale data platform on AWS at Serasa Experian. Collaborating with teams to ensure platform scalability, reliability, and performance.
🗣️🇧🇷🇵🇹 Portuguese Required
Apache
AWS
Azure
Google Cloud Platform
Scala
Spark