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Senior Data & Knowledge Engineer

Encora DigitalBolivia, NC

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Overview

Schedule
Full-time
Career level
Senior-level
Remote
Remote

Job Description

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.

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FAQs About Senior Data & Knowledge Engineer Jobs at Encora Digital

What is the work location for this position at Encora Digital?
This job at Encora Digital is located in Bolivia, NC, according to the details provided by the employer. Some roles may also include multiple work locations depending on the requirement.
What pay range can candidates expect for this role at Encora Digital?
Employer has not shared pay details for this role.
What employment applies to this position at Encora Digital?
Encora Digital lists this role as a Full-time position.
What experience level is required for this role at Encora Digital?
Encora Digital is looking for a candidate with "Senior-level" experience level.
Does Encora Digital allow remote work for this role?
Yes, this position at Encora Digital supports remote work, giving candidates the flexibility to work outside the primary office location.
What is the process to apply for this position at Encora Digital?
You can apply for this role at Encora Digital either through Sonara's automated application system, which helps you submit applications 10X faster with minimal effort, or by applying manually using the direct link on the job page.