Senior Data Engineer

This is a fully remote position, open to applicants in Latin America.

📋 Description

• Create and execute robust, normalized data models that integrate complex, diverse source systems into a cohesive single source of truth.

• Drive architectural decisions across the organization related to cloud warehousing, orchestration, and pipeline reliability.

• Set performance and maintainability benchmarks.

• Design and sustain high-throughput backend data services, microservices, and internal tools utilizing Python and modern frameworks like FastAPI or Flask.

• Develop and enhance scalable transformation pipelines and automate workflows using dbt, Dataform, and either Apache Airflow or Google Cloud Composer.

• Establish data quality frameworks with automated testing, anomaly detection, real-time observability, and incident response protocols.

• Collaborate with executive stakeholders in Finance and Operations to convert technical trade-offs into actionable strategies for the business.

⛳️ Requirements

• Over 5 years of practical data engineering experience, showcasing leadership in developing organization-wide architecture and foundational data systems.

• In-depth knowledge of contemporary cloud data warehouses, with a preference for Google BigQuery.

• Proficiency in dbt or Dataform.

• Advanced skills in SQL.

• Proven track record in building, deploying, and supporting production services, RESTful APIs, or microservices within cloud environments.

• Demonstrated experience managing distributed workflows using Airflow or Cloud Composer.

• Expertise in relational and analytical dimensional modeling.

• Outstanding analytical mindset with comprehensive accountability for system reliability, data hygiene, and performance optimization.

• Advanced English proficiency (C1/C2, both written and verbal).

• Capability to communicate technical architecture to US-based cross-functional partners.

🏝️ Benefits

• USA Contractor / 100% Remote.

• Competitive Pay (USD).

• Holidays Off & Paid Time Off.

• Health insurance assistance program.

• Opportunity to engage with high-growth US-based companies and innovative tech stacks.

• Access to Agentic AI tools and training.

• Coursera Enterprise.

• Studio practice labs.

• Comprehensive onboarding support.

• Open and transparent leadership communication.

• Recognition within the community.

• A culture of psychological safety.

• Continuous multi-project pipeline.

• L1-L7 Career Framework.