Senior Data Engineer

Job not on LinkedIn

🕒 April 24

🗣️🇧🇷🇵🇹 Portuguese Required

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Logo of avra

avra

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.

📋 Description

• 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.

🎯 Requirements

• 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

🏖️ Benefits

• 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

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