Job Title: Senior Data & Knowledge Engineer
Key Skills: Azure Document Intelligence, Azure AI Search, Databricks, SQL, Vector Search, Embeddings, RAG, Knowledge Graphs, Neo4j, Data Engineering
Experience: 5+ YOE.
Location: Costa Rica, Peru, Colombia, Bolivia.
Mode: Remote
We at Coforge are hiring Senior Data & Knowledge Engineer (#006fu00000bWsOCAA0-3) with the following skill set.
Key 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.
Required Skills & 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.
Preferred Skills:
Advanced hands-on experience with Azure AI Search, Databricks, RAG, and vector-search solutions.
Experience with document processing, chunking, embeddings, ranking, metadata, and citation design.
Hands-on knowledge graph experience with Neo4j, RDF, graph databases, semantic modeling, ontology design, or entity-relationship mapping.
Azure Data Engineer or Databricks certification.
Posted On: 12-10-2026
At Coforge, we hire professionals based solely on their skills and do not discriminate based on age, disability, religion, gender, sexual orientation, socioeconomic status, or nationality.
Skills Required
- 5+ years of experience in Data Engineering, Search Engineering, Analytics Engineering, or Knowledge Platform roles
- 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
- Understanding of metadata, lineage, data quality, governance, and knowledge management practices
- Experience 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
- Advanced hands-on experience with Azure AI Search, Databricks, RAG, and vector-search solutions
- Experience with document processing, chunking, embeddings, ranking, metadata, and citation design
- Hands-on knowledge graph experience with Neo4j, RDF, graph databases, semantic modeling, ontology design, or entity-relationship mapping
- Azure Data Engineer or Databricks certification
Encora Compensation & Benefits Highlights
The following summarizes recurring compensation and benefits themes identified from responses generated by popular LLMs to common candidate questions about Encora and has not been reviewed or approved by Encora.
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Healthcare Strength — Health coverage is described as employer-provided in multiple locations, with private plans and family coverage highlighted in Spain and Mexico. Medical insurance quality is presented as a recurring bright spot alongside standard coverage.
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Leave & Time Off Breadth — Time off includes paid holidays and PTO, with regional materials indicating additional leave provisions in certain countries. Leave is generally portrayed as conventional to generous depending on location.
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Flexible Benefits — Work-from-home flexibility is frequently highlighted as a plus, though it varies by role and client needs. Remote and hybrid options are positioned as part of the overall package.
Encora Insights
What We Do
Headquartered in Santa Clara, California, and backed by renowned private equity firms Advent International and Warburg Pincus, Encora is the preferred technology modernization and innovation partner to some of the world’s leading enterprise companies. It provides award-winning digital engineering services including Product Engineering & Development, Cloud Services, Quality Engineering, DevSecOps, Data & Analytics, Digital Experience, Cybersecurity, and AI & LLM Engineering. Encora's deep cluster vertical capabilities extend across diverse industries, including HiTech, Healthcare & Life Sciences, Retail & CPG, Energy & Utilities, Banking Financial Services & Insurance, Travel, Hospitality & Logistics, Telecom & Media, Automotive, and other specialized industries. With over 9,000 associates in 47+ offices and delivery centers across the U.S., Canada, Latin America, Europe, India, and Southeast Asia, Encora delivers nearshore agility to clients anywhere in the world, coupled with expertise at scale in India. Encora’s Cloud-first, Data-first, AI-first approach enables clients to create differentiated enterprise value through technology

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