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Role Overview We are seeking an experienced Technical Lead to lead the design, development, and delivery of a large-scale data platform hosted on the Government Commercial Cloud (GCC) using AWS Cloud services. The…
Overview At QIAGEN, we are driven by a simple but powerful vision: making improvements in life possible. We’re dedicated to revolutionizing science and healthcare for the better. From our entrepreneurial roots to our…
We are the leading provider of professional services to the middle market globally, our purpose is to instill confidence in a world of change, empowering our clients and people to realize their full potential. Our…
At Allstate, great things happen when our people work together to protect families and their belongings from life’s uncertainties. And for more than 90 years, our innovative drive has kept us a step ahead of our…
Grow your career at Cedars-Sinai! Data is vital to advance clinical knowledge across a spectrum of medical and surgical fields. Are you ready to transform data discoveries into valuable information, which will empower…
BeOne continues to grow at a rapid pace with challenging and exciting opportunities for experienced professionals. When considering candidates, we look for scientific and business professionals who are highly…
Fully remote 6-month contract (outside IR35) for a Graph Data Engineer to design, build and maintain scalable data pipelines with a focus on graph databases, entities and relationships. Core stack: Neo4j, Cypher, AWS (incl. Glue), Apache Airflow and Python. Active SC clearance is essential; day rate up to £450.
Builds and deploys generative AI applications for an enterprise client in Phoenix, AZ — LLM-powered apps and AI agents, knowledge-graph integration (Neo4j), vector search, and RAG — coded in Python with LangChain/LangGraph and deployed to Azure, AWS, or GCP. Fluency in Mandarin and English is required for bilingual stakeholder work. Onsite, W2 role via a staffing firm.
Principal engineer at AdviNOW Medical, an AI-powered clinical decision support startup, acting as a hands-on senior technical leader. Day to day: building scalable Python backends (Django/FastAPI), modern React/Next.js front ends, and integrating AI/ML models with PostgreSQL/MongoDB, while mentoring engineers and shaping architecture.
Data Platform Engineer at electric aviation company BETA Technologies: designs, builds, and operates the enterprise data platform on cloud infrastructure (preferably AWS) — data lakes, graph databases, pipelines, data catalogs, and GraphQL/REST APIs — using Python, SQL, Docker, Kubernetes, and CI/CD/infrastructure-as-code to keep data findable, reliable, and production-ready.
Senior AI Engineer at Radancy, a talent acquisition software company, designing AI architecture, data pipelines, and classification/inference models for AI-powered recruiting products. Core stack includes Apache Kafka, strongly typed backend languages (Rust/Scala/Go), AWS, and NLP/LLM technologies.
Sets the technical direction and hands-on architecture of IonQ's Network and Security Platform distributed backend — telemetry ingestion pipelines, Kafka/Kinesis event streaming, time-series storage, and REST/gRPC APIs — building reference implementations in Go/Rust on Kubernetes/Terraform across AWS, GCP, and Azure. Onsite in Santa Clara, CA.
Designs and builds scalable knowledge graphs and knowledge bases on AWS, leading entity extraction, linking, and graph pipelines end to end. Core stack is Java/Spring Boot backend services, graph databases like Neptune or Neo4j, containerized cloud infrastructure, and applied AI techniques; requires an active Secret clearance and residency near Herndon, VA.
About Neo4j: Neo4j is the graph intelligence platform that transforms data into knowledge to power the next generation of intelligent applications and AI systems. It includes enterprise-ready knowledge graphs for…
Infrastructure-focused backend engineer at an early-stage AI startup, building and scaling the cloud systems, data pipelines, and APIs that power autonomous AI agents automating enterprise workflows. Core stack: Python, SQL/NoSQL databases, AWS/GCP/Azure, Docker/Kubernetes, and CI/CD.
Vega, a cybersecurity startup building an AI-native security operations platform, is hiring a Data Engineer for its AI team in Tel Aviv. The role designs, builds, and operates scalable batch and streaming data pipelines and storage layers (data lakes, warehouses, vector/graph DBs) that power production AI models and agents.
Lead the architecture and delivery of Veeam’s enterprise-scale Knowledge Graph and data-lake integrations, using graph databases (Neptune/Neo4j) and cloud lakehouse connectors to map data lineage, access, and AI risk for Fortune 500 customers.
12-month contract in Johannesburg: own feature delivery end-to-end for critical banking/credit applications — building accessible Angular frontends, SQL Server schemas and REST APIs, integrating Java/Spring Boot microservices, and owning Docker/CI-CD pipelines plus legacy modernization, alongside analysts, testers and credit specialists.
Senior ML Infrastructure Engineer on Reddit's ML Platform team, building and scaling the infrastructure behind recommendations and content discovery. Day-to-day work spans MLOps lifecycle design, graph ML platform development, distributed GPU training optimization, and large-scale batch data pipelines using Python, PyTorch, Ray, Kubernetes, Spark, and GCP.
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