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Agent guide: [/agents.md](https://www.wearedevelopers.com/agents.md). --- # Back-End Engineer - **Company:** Accenture - **Location:** Culver City, CA, United States - **Contract:** Permanent contract - **Skills:** Java (Programming Language), Application Programming Interfaces (APIs), Artificial Intelligence, Airflow, Apache HTTP Server, Cloud Computing, Databases, Data Infrastructure, Extract Transform Load (ETL), Data Mapping, Data Security, Relational Databases, Database Design, Query Languages, Elasticsearch, R (Programming Language), Graph Database, JSON, Python (Programming Language), PostgreSQL, Microsoft SQL Server, MySQL, Neo4j, Performance Tuning, Query Optimization, RabbitMQ, Resource Description Framework (RDF), Service Layer, SPARQL, SQL Databases, Extensible Markup Language (XML), Enterprise Data Management, Scripting, Cloud Platform System, Data Ingestion, Database Optimization, Indexer, Backend, Git, Semi-structured Data, Kubernetes, Apache Kafka, Cosmos DB, Apache Nifi, Data Management, Restful APIs, Software Version Control, Data Pipelines, Docker - **Published:** August 5, 2026 - **Apply:** https://www.careerbuilder.com/job-details/knowledge-engineer-manager-back-end-engineer-culver-city-ca--603f3c31-9f81-4670-bc4e-de25766d835e ## About the Role Semantic technologies: RDF, OWL, SKOS, RDFS Query languages: SPARQL Mapping technologies: R2RML, CSVW, SHACL (preferred) Graph databases: GraphDB, Stardog, Neo4j, Amazon Neptune Relational databases: PostgreSQL, MySQL, SQL Server Vector stores: Pinecone, Weaviate, Milvus, Qdrant Search: Elasticsearch / OpenSearch Programming: Python, Java (preferred) Data formats: SQL, JSON, XML, CSV Integration: REST APIs, ETL tools, Apache NiFi, Airflow (preferred) Infrastructure: Docker, Kubernetes, Helm Cloud: AWS Neptune, Azure Cosmos DB, GCP Messaging: Kafka, RabbitMQ Version control: Git This role is hybrid in nature and will require time in office and traveling to client locations. Travel can be between 20-80% Skills: Apache, Application Programming Interface (API), Artificial Intelligence (AI), Cloud Computing, Data Formats, Data Management, Data Mapping, Data Modeling, Data Quality, Database Administration, Database Design, Database Extract Transform and Load (ETL), Database Optimization, Database Technology, Ecosystems, Engineering Management, Enterprise Data Integration, JSON, Java, Knowledge Engineering, Ontology, Performance Tuning/Optimization, Professional Services, Python Programming/Scripting Language, Query Optimization, R Programming Language, REST (Representational State Transfer), SPARQL, SQL (Structured Query Language), Sales Pipeline, Structured Data, Willing to Travel, XML (EXtensible Markup Language) ## Description We are looking for a Back-End Engineer to design, build, and operate the data infrastructure and services that power our AI-driven knowledge platform. You will work across the full back-end stack - architecting APIs, building data pipelines, managing multi-modal database systems, and owning the reliability and performance of the services that application and product teams depend on. You bring strong engineering fundamentals and are equally comfortable designing a relational schema, tuning a graph query, standing up a vector store, or shipping a production-grade REST API. Knowledge graph and semantic technology experience is central to this role, but the work extends across the broader data and service layer: ingestion, transformation, storage, retrieval, and delivery at enterprise scale., * Hydrate structured and semi-structured data into Knowledge Graphs by mapping source data to ontology models. * Develop data mapping and transformation workflows using R2RML or similar technologies. * Write and optimize SPARQL queries for graph loading, validation, and retrieval. * Build and maintain data ingestion pipelines and integrate data from enterprise systems. * Design and optimize relational database schemas and queries to support efficient graph hydration and ETL workflows. * Deploy, configure, and maintain vector database infrastructure for embedding storage, indexing, and semantic retrieval at scale. * Design and maintain scalable graph query APIs consumed by internal application and product teams. * Performance-tune graph database queries, indexing strategies, and data access patterns. * Own containerization, deployment, and monitoring of graph services in cloud environments. * Ensure data quality, ontology alignment, and secure handling of sensitive data (PII/PHI). * Collaborate with ontologists, architects, and application teams to support Knowledge Graph implementations. ## Related Videos - [From Messy Queries to Scalable Systems - How Data Engineering actually works](https://www.wearedevelopers.com/videos/100203-from-messy-queries-to-scalable-systems-how-data-engineering-actually-works) - [How a Small Team Shrank a Microsoft Monorepo by 94%](https://www.wearedevelopers.com/videos/1236-how-a-small-team-shrank-a-microsoft-monorepo-by-94) - [Putting the Graph In GraphQL With The Neo4j GraphQL Library](https://www.wearedevelopers.com/videos/257-putting-the-graph-in-graphql-with-the-neo4j-graphql-library) - [Tips and Tricks for Working with JSON](https://www.wearedevelopers.com/videos/1229-tips-and-tricks-for-working-with-json) - [Modern Data Architectures need Software Engineering](https://www.wearedevelopers.com/videos/1030-modern-data-architectures-need-software-engineering) - [Git for Code Reviews](https://www.wearedevelopers.com/videos/429-git-for-code-reviews) ## Related Articles - [Highest Paying Tech Companies for Developers](https://www.wearedevelopers.com/magazine/220-highest-paying-tech-companies-for-developers) - [Top Big Data Technologies That You Need to Know](https://www.wearedevelopers.com/magazine/108-top-big-data-technologies-that-you-need-to-know) - [Is Software Engineering Over-Saturated?](https://www.wearedevelopers.com/magazine/418-is-software-engineering-over-saturated) - [Graph and AI Trends 2026: Why Is AI Running but Not Yet Delivering?](https://www.wearedevelopers.com/magazine/680-graph-and-ai-trends-2026-why-is-ai-running-but-not-yet-delivering) - [Dev Digest 120 - Apple and peers](https://www.wearedevelopers.com/magazine/455-dev-digest-120-apple-and-peers) - [The Most Popular IT Jobs on the Market](https://www.wearedevelopers.com/magazine/376-the-most-popular-it-jobs-on-the-market)