
Senior Data Engineer
Posted 2 days ago

Posted 2 days ago
This is a fully remote position, open to applicants in Latin America.
• Lead the design and deployment of scalable, production-ready ETL/ELT pipelines for extensive data ingestion, transformation, and processing.
• Design and enhance cloud data warehouses, lakes, and lakehouses to facilitate advanced analytics, business intelligence, and reporting tasks.
• Implement automated data validation frameworks, monitoring systems, and testing suites.
• Ensure low-latency performance, high data accuracy, and adherence to strict security standards.
• Engineer robust data models utilizing Star Schema, Data Vault 2.0, and Dimensional Modeling techniques.
• Optimize query performance and storage efficiency.
• Collaborate with Data Scientists, ML Engineers, and Business Analytics stakeholders to convert business goals into scalable technical data architectures.
• Provide mentorship to mid-level and junior data engineers.
• Establish automated deployment methodologies for data pipelines.
• Maintain thorough architectural documentation.
• A minimum of 5 years of specialized professional experience in data engineering.
• Demonstrated experience in architecting distributed data platforms within fast-paced startup or nearshore environments.
• Extensive hands-on expertise with Spark, Airflow, Kafka, dbt, and cloud data warehouses like Snowflake, Databricks, BigQuery, or Redshift.
• Advanced skills in Python or Scala programming.
• Expert-level knowledge of complex SQL performance tuning and query optimization.
• Practical experience in developing enterprise data solutions on platforms such as AWS, Azure, or GCP.
• Profound understanding of Star Schema and Data Vault data modeling approaches.
• Strong independent troubleshooting skills.
• A passion for data integrity and proactive optimization of workflows.
• Fluency in English, both written and spoken, is essential for direct, real-time collaboration with U.S.-based client teams and stakeholders.
• USA Contractor / 100% Remote.
• Competitive Pay (USD).
• Holidays Off & Paid Time Off.
• Health insurance assistance program.
• Opportunity to collaborate with high-growth U.S.-based companies and state-of-the-art technology stacks.
• Access to Agentic AI tools and training.
• Coursera Enterprise.
• Studio practice labs.
• Comprehensive onboarding experience.
• Transparent communication from leadership.
• Recognition within the community.
• Psychological safety in the work environment.
• Continuous multi-project pipeline.
• Direct involvement with U.S. client teams and their roadmaps.
Experity
Marathon Health
First Citizens Bank
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