Senior Data & Knowledge Engineer — Remote

Encora Inc.; Comisión de Fomento de Perú; Remote; ARS 138,361,000 - 199,855,000; Full time

Job summary

Encora Inc. is seeking a Senior Data & Knowledge Engineer to design and implement enterprise-grade data ingestion, transformation, and retrieval pipelines in a remote setup.

The role emphasizes building RAG-based architectures, knowledge graphs, and scalable data processing using Databricks and Azure services. Ideal candidates will have 5+ years in data or analytics engineering, hands-on Azure Document Intelligence and Azure AI Search expertise, and a strong background in graph databases like

Qualifications

• 5+ years of experience in Data Engineering, Search Engineering, Analytics Engineering, or Knowledge Platform roles.
• Strong hands-on experience with Azure Document Intelligence, Azure AI Search, Databricks, and SQL.
• Experience building production-grade data ingestion, transformation, enrichment, embedding, and indexing pipelines.
• Strong knowledge of vector search, embeddings, RAG architecture, and enterprise information retrieval.
• Experience designing and maintaining knowledge graphs using Neo4j or other graph database technologies.
• Strong understanding of metadata, lineage, data quality, governance, and knowledge management practices.
• Experience working with structured and unstructured enterprise data and document extraction patterns.
• Knowledge of secure retrieval patterns, filtering, citations, access controls, and data freshness.
• Experience measuring and optimizing retrieval relevance and knowledge quality.
• Bachelor’s degree in Computer Science, Data Engineering, Data Science, Information Systems, or a related field.

Responsibilities

• Design RAG and enterprise search architectures and build ingestion, transformation, enrichment, document extraction, embedding, and indexing pipelines using Databricks.
• Build and maintain Azure AI Search, vector search, and access-controlled retrieval indexes, ensuring metadata, citations, lineage, data freshness, and security-trimmed access.
• Implement Azure Document Intelligence pipelines to extract structured information from PDFs, forms, engineering documents, reports, and scanned content.
• Design and maintain knowledge graph models for entities, relationships, metadata, lineage, and domain context while continuously optimizing retrieval relevance and knowledge quality.

Skills

Azure Document Intelligence

Azure AI Search

Databricks

SQL

Vector Search

Embeddings

RAG

Knowledge Graphs

Neo4j

Data Engineering

Education

Bachelor’s degree in Computer Science, Data Engineering, Data Science, Information Systems, or related field

Tools

Azure Document Intelligence

Azure AI Search

Databricks

SQL

Neo4j

Job description

Encora Inc. is seeking a Senior Data & Knowledge Engineer to design and implement enterprise-grade data ingestion, transformation, and retrieval pipelines in a remote setup.

The role emphasizes building RAG-based architectures, knowledge graphs, and scalable data processing using Databricks and Azure services. Ideal candidates will have 5+ years in data or analytics engineering, hands-on Azure Document Intelligence and Azure AI Search expertise, and a strong background in graph databases like