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As the leading independent provider of risk and financial advisory solutions, Kroll leverages our unique insights, data, and technology to help clients stay ahead of complex cyber threats. Our Cyber Risk team partners…
The Senior Backend Engineer will develop and maintain security control integrations, building ETL pipelines and GraphQL APIs to abstract EDR vendor complexity. This role focuses on data processing, system stability, and cross-team collaboration within a remote cybersecurity environment.
Forward Deployed AI Architect embeds with clients to learn their workflows (e.g., insurance underwriting, healthcare revenue cycle) hands-on, then redesigns and builds production GenAI systems (LLM applications, agentic workflows) on AWS. Focuses on measurable business outcomes, evaluation-driven development, and long-term blueprint improvements.
Get to Know Us Horizon3 is a fast-growing, remote cybersecurity company dedicated to the mission of enabling organizations to proactively find and fix and verify exploitable attack vectors before criminals exploit…
Build and deploy ML models in AWS/Azure for healthcare analytics, refactoring data scientists' code into production batch jobs and optimizing cloud costs.
Design and build enterprise ontologies, knowledge graphs, and semantic data models using W3C standards (OWL, RDF, SPARQL) and graph databases to connect raw operational data with AI-ready intelligence for defense programs at RTX.
Build and scale data infrastructure and graph systems for crypto/finance analytics, including ETL pipelines, PostgreSQL, Neo4j, and AWS deployments to power real-time risk and surveillance tools.
Senior AI/backend engineer builds and scales Python-based FastAPI services, RAG pipelines, and LLM agent systems on AWS/Azure, with cloud-native tooling and security best practices.
Build and operate ELT pipelines and a unified healthcare data ontology on AWS/Snowflake, using Python, SQL, and orchestration tools like Prefect or Airflow.
Builds and optimizes large-scale distributed data processing systems on AWS Databricks, designing pipelines and data lakes to ingest, validate, and monitor data from diverse sources for a fintech security company.
The Senior Data Engineer will design, build, and maintain end-to-end data pipelines and operational software applications to support Apple's Pacific supply chain operations. The role involves utilizing a diverse tech stack including Python, SQL, orchestration tools, vector/graph databases, and AI/LLM frameworks to operationalize data for business decision-making.
Build cloud-native data platforms, LIMS/ELN integrations, and agentic AI/LLM pipelines to enable AI-driven drug discovery at a Series A biotech startup in NYC.
The Senior Data Engineer will design, build, and maintain scalable enterprise data platforms and pipelines to support healthcare analytics. The role involves managing Kubernetes environments, implementing data governance, and collaborating with stakeholders using technologies like Python, SQL, and Azure.
This role involves driving applied research and product-oriented data science for an Agentic AI platform, focusing on LLM fine-tuning, evaluation, and knowledge graph development. The position requires deep technical expertise in machine learning and production-scale AI deployments to deliver robust agentic solutions.
Build and own RAG pipelines, vector/embedding infrastructure, and data ingestion systems for an Agentic ERP Platform using Python, PostgreSQL with pgvector, Snowflake, and modern AI/ML retrieval techniques.
Administers and optimizes cloud-based SQL/NoSQL/GraphDB environments (Snowflake, Databricks, Aurora, RDS, Neptune) for the US Courts’ Case Management Modernization Program, ensuring scalability, security, and compliance while automating operations with Python/Terraform.
Develops and modernizes legacy IT systems for government entitlement programs, focusing on identity management, authentication, and secure cloud infrastructure using Java, Python, and AWS.
Develops and deploys AI/Gen AI solutions for corporate functions, focusing on agentic architectures, prompt engineering, and model integration while ensuring Responsible AI compliance and data governance.
Zinkworks is hiring a Data Engineer to design and maintain scalable cloud-based data pipelines and models. The role involves using SQL, Python, and Apache Airflow to integrate data across relational, NoSQL, and graph databases for telecommunications and financial services clients.
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