
Senior Data Engineer
Posted 2 days ago

Posted 2 days ago
This is a fully remote position, open to applicants in Latin America.
• Create and execute contemporary semantic models, encompassing facts, dimensions, and metric stores utilizing tools like dbt.
• Simplify complex operational databases to facilitate AI querying and analytical use.
• Develop curated, high-performance analytical views and establish production ELT/ETL pipelines.
• Optimize data retrieval processes, enhance data freshness, and reduce redundancy across various environments.
• Refine intricate database queries, indexing, and schema definitions through systematic query log analysis.
• Enforce detailed data governance, including RBAC, RLS, dynamic data masking, and anonymization to protect PII.
• Work collaboratively with cross-functional AI engineering teams on RAG and Agentic AI workflows.
• Specify pipeline monitoring, continuous data quality assessments, and automated alert systems.
• Ensure reliability across all analytical layers.
• Over 4 years of dedicated experience in data engineering.
• Proficient in SQL at a production level, including Azure SQL, PostgreSQL, or modern Cloud Data Warehouses.
• Strong knowledge of Kimball dimensional modeling.
• Experience in constructing resilient ELT/ETL pipelines.
• Familiarity with structuring semantic/metrics layers using dbt.
• Documented experience in implementing rigorous database security policies, fine-grained RBAC/RLS, and dynamic data masking for PII compliance.
• Hands-on experience in optimizing queries for low-latency workloads.
• Background in supporting data foundations for RAG applications and Agentic AI frameworks.
• Demonstrated technical independence and a proactive problem-solving approach.
• A collaborative mindset to drive execution within nearshore agile teams.
• Required: Advanced/Fluent proficiency in English, both written and spoken.
• Preferred: Experience with Airflow, Prefect, Dagster, pgvector, Pinecone, Qdrant, Kafka, Kinesis, and Terraform.
• 100% Remote position as a USA Contractor.
• Competitive salary (USD).
• Paid Holidays and Paid Time Off.
• Health insurance assistance program.
• Chance to collaborate with high-growth U.S.-based companies and innovative tech stacks.
• Access to Agentic AI tools and training.
• Coursera Enterprise access.
• Practical studio practice labs.
• Comprehensive onboarding experience.
• Open communication from leadership.
• Recognition within the community.
• Emphasis on psychological safety.
• Continuous multi-project pipeline.
• Direct involvement with U.S. client teams and their roadmaps.
Experity
Marathon Health
First Citizens Bank
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