Data Engineer
Own the data plane by building ingestion pipelines and transformation layers to turn messy insurance data into clean datasets. Model and tune data across Postgres and ClickHouse to power analytics and AI products.
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Own the data plane by building ingestion pipelines and transformation layers to turn messy insurance data into clean datasets. Model and tune data across Postgres and ClickHouse to power analytics and AI products.
Own and manage the runtime infrastructure, including Kubernetes, GCP, and CI/CD pipelines for an AI-native platform. Focus on improving reliability, performance, and developer experience while leading incident response and on-call practices.
Lead the end-to-end design, build, and operation of AI-powered features across the backend and frontend. Drive technical standards, ensure code quality, and mentor junior engineers to maintain high velocity.
Lead the development of an AI-native platform for the insurance industry to automate manual workflows. Collaborate directly with founders and users to build and ship high-impact features from the ground up.
Build AI-powered features using LLMs, RAG, and semantic search to automate insurance workflows. Develop the backend services, data pipelines, and product UI necessary to turn AI capabilities into production-grade features.
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Own product and application security for a multi-tenant AI platform handling sensitive insurance data. Drive secure SDLC, manage cloud posture in GCP, and lead incident response and compliance efforts.
Lead the architecture for major systems spanning AI, data, backend, and frontend while removing technical bottlenecks. Set engineering standards for reliability and performance and mentor senior engineers to raise the technical bar.
The IT Engineer will own internal systems, corporate IT, and identity management to ensure secure scaling. Responsibilities include managing device lifecycles, administering SaaS applications, and automating internal IT workflows.
Own the end-to-end architecture of the data platform, including ingestion, transformation, and the analytical serving layer. Establish data engineering standards, mentor the team, and manage multi-tenant data modeling across Postgres and ClickHouse.
Independently manage the execution of engineering projects and develop UL requirements and test methods for complex products. Conduct electrical tests and field evaluations to ensure compliance with safety standards.
The Process Safety Engineer develops and sustains process safety programs to ensure safe and compliant manufacturing operations. This includes leading process hazard analyses, supporting capital projects, and managing process safety auditing and compliance.
The role is responsible for driving operational excellence and performance visibility across Sales, Marketing, Finance, and Product functions. This includes owning the revenue operations infrastructure, delivering executive-level reporting, and leading strategic initiatives to accelerate growth.
Architect and develop high-performance customer and internal dashboards for real-time GPU telemetry using TypeScript and React. Establish frontend engineering standards and collaborate with backend engineers and designers to ship scalable, accessible interfaces.
Architect and optimize exabyte-scale data platforms and pipelines to support LLMs, RAG, and AI agentic systems. Provide technical leadership by mentoring engineers and collaborating with cross-functional teams to move AI prototypes into production.
Lead the design and management of data architectures and cloud solutions to solve complex business problems. Oversee the full IT data lifecycle, including governance, security, and transformation, to ensure data accuracy and security.
Design, build, and optimize large-scale data pipelines and analytics platforms on the Databricks Lakehouse. Establish engineering standards for performance, reliability, and cost efficiency while mentoring junior engineers.
The role involves using Generative AI tools to create multimedia content, including tour scripts, marketing copy, and graphic designs. The specialist will collaborate with creative and marketing teams to ensure brand alignment and implement innovative AI workflows.
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Serve as the primary technical owner for the 'AtoZ Arizona' citizen-services portal implementation on ServiceNow. Oversee vendor development teams, manage the technical backlog in Jira, and ensure platform scalability and security compliance.
Lead complex electrical engineering projects from concept through execution for industrial and energy infrastructure. Serve as a technical lead and mentor while coordinating with clients, vendors, and internal stakeholders to deliver high-quality power system designs.
Lead end-to-end ERP software implementation and consulting projects for mid-sized and enterprise clients. Manage the full project lifecycle from discovery and planning through go-live, hypercare, and transition to support.
Design and build modern analytics solutions using Microsoft Fabric and Power BI, implementing medallion architectures and AI-enabled experiences. Lead client-facing workshops to gather requirements and translate business needs into technical solutions for senior stakeholders.
Develop and implement scalable AI/ML-driven microservices and full-stack applications for healthcare clients. Collaborate with agile teams to shape technical architecture, perform code reviews, and optimize existing systems.
The Designated Consulting Engineer manages trend reviews, advisory services, and future state activities to improve a customer's IT maturity. Key duties include developing strategic IT roadmaps and acting as a trusted partner between clients and project teams.
Design and implement governance controls and security remediation playbooks for a large-scale Power Platform environment. Build automation tooling using PowerShell and APIs to reduce manual compliance activities and improve platform visibility.
Perform the full commissioning cycle for Dynamic UPS units, including safety validation, systematic startup, and troubleshooting. Lead customer witness tests and produce final commissioning reports to secure formal acceptance.
Perform independent challenges and validation of machine learning models used for credit underwriting and fraud detection. Collaborate with model owners and cross-functional partners to implement the company's Model Risk Management framework and resolve regulatory requests.
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Own the full product loop from user discovery to shipping AI-powered features by embedding directly with clients. Build and harden full-stack applications using modern frameworks while integrating LLM capabilities to solve real business problems.
Develop and maintain Zoom chat and meeting modules using React or Vue while integrating real-time messaging and multimedia features. Lead distributed engineering teams and implement accessible, high-performance web interfaces compliant with WCAG standards.
Design and develop systems to analyze unstructured big data to generate actionable insights for client services and product enhancement. Collaborate with product teams to identify analysis questions and develop automated processes to cleanse and integrate large datasets.
Design and optimize nanosecond-level trading systems in C++ while co-designing software/hardware logic with FPGA engineers. Collaborate with researchers to integrate machine learning signals into the automated trading production environment.
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