Senior Data Engineer

Job Description:

• Lead the design and implementation of scalable, production-grade ETL/ELT pipelines for large-scale data ingestion, transformation, and processing
• Design and optimize cloud data warehouses, lakes, and lakehouses to support advanced analytics, BI, and reporting workloads
• Implement automated data validation schemas, monitoring frameworks, and testing suites
• Ensure low-latency performance, high data accuracy, and strict security compliance
• Engineer resilient data models using Star Schema, Data Vault 2.0, and Dimensional Modeling
• Tune query performance and storage efficiency
• Partner with Data Scientists, ML Engineers, and Business Analytics stakeholders to translate business objectives into scalable technical data architectures
• Mentor mid-level and junior data engineers
• Establish automated deployment patterns for data pipelines
• Maintain comprehensive architectural documentation

Requirements:

• 5+ years of dedicated professional data engineering experience
• Proven track record of architecting distributed data platforms in high-velocity startup or nearshore environments
• Deep hands-on experience with Spark, Airflow, Kafka, dbt, and cloud data warehouses such as Snowflake, Databricks, BigQuery, or Redshift
• Advanced proficiency in Python or Scala
• Expert-level mastery of complex SQL performance tuning and query optimization
• Hands-on experience building enterprise data solutions on AWS, Azure, or GCP
• Deep command of Star Schema and Data Vault data modeling paradigms
• Strong autonomous troubleshooting capabilities
• Passion for data integrity and proactive workflow optimization
• Advanced English fluency, written and spoken, mandatory for direct, real-time collaboration with U.S.-based client teams and stakeholders

Benefits:

• USA Contractor / 100% Remote
• Competitive Pay (USD)
• Holidays Off & Paid Time Off
• Health insurance assistance program
• Opportunity to work with high-growth US-based companies and cutting-edge tech stacks
• Agentic AI tools and training
• Coursera Enterprise
• Studio practice labs
• High-touch onboarding
• Transparent leadership communication
• Community recognition
• Psychological safety
• Continuous multi-project pipeline
• Direct engagement with U.S. client teams and roadmaps