Outmarket is the AI platform for insurance, trusted by more than 250 brokerages to run the work their business depends on. Commercial insurance still runs on dense documents and slow, manual workflows, and that is exactly what we automate: quote comparisons, coverage gap and tower analysis, policy review, and proposal generation, all grounded in our customers’ own data and source-cited so teams can trust the output. The impact is concrete. Teams save 12 to 15 hours per person every week, cut errors by roughly 65 percent, and win more business, all on infrastructure that is SOC 2 Type II certified, single-tenant, and never used to train AI models. We are an AI-first company in both what we build and how we work, shipping quickly and in close partnership with the agencies that rely on us.
Senior Data Engineer
Location
United States
Posted
2 days ago
Salary
0
Seniority
Senior
Job Description
Senior Data Engineer
Outmarket AI
Role Description We are hiring a Senior Data Engineer to own the architecture of our data platform end to end, spanning ingestion, transformation, and the analytical serving layer that powers insights and AI across every customer. You will set the standards for how we model and operate data at scale. Why This Role - Own the architecture of the data plane the whole product depends on. - Solve hard, high-value problems with messy multi-tenant insurance data. - Set data engineering standards and mentor the team. What You'll Do - Architect ingestion and transformation pipelines (bronze → silver → fact) across many customers. - Own multi-tenant data modeling and performance/cost across Postgres and ClickHouse. - Define the standards for dataset configuration, KPIs, and reconciliation that keep data trustworthy. - Build reliable, observable orchestration and lead data quality strategy. - Mentor data and product engineers and review high-impact data work. Qualifications - 5+ years in data engineering, including pipeline and analytical-data architecture. - Deep SQL and Python, strong Postgres, and hands-on columnar-store experience (ClickHouse or similar). - Experience with orchestration (Temporal, Airflow, Dagster) and large-scale data operability. - Track record of setting standards and leading data work in a fast-moving environment. Bonus If You Have - Multi-tenant SaaS data experience. - Insurance, fintech, or other regulated/document-heavy domain experience. Benefits - A high-impact role with ownership from day one. - Competitive compensation and meaningful equity. - Direct collaboration with founders and real users. - Remote-first flexibility. - The opportunity to help build an AI-native product from the ground up.
Related Guides
Related Categories
Related Job Pages
More Data Engineer Jobs
Supervisor, Data Management
CVS HealthCVS Health is a leading healthcare company operating CVS Specialty, CVS Pharmacy, CVS MinuteClinic, and CVS Caremark. In 2018, CVS combined forces with healthca
Oversee data management tasks, ensure data accuracy, mentor team members, and analyze performance metrics to drive continuous improvement in pharmacy operations and maintain effective communication with internal and external partners.
Role Description Desde Workana, estamos buscando Senior Data Architect para liderar el diseño y evolución de la arquitectura de datos, habilitando una plataforma escalable, confiable y preparada para soportar a las iniciativas de producto, analítica e inteligencia artificial de nuestro cliente: "Empresa tecnológica líder que impulsa el comercio logístico moderno para alcanzar nuevos estándares de rendimiento." Esta posición será responsable de definir estándares, modelos y estrategias de datos que permitan acelerar el desarrollo, mejorar la calidad de la información y asegurar una visión de largo plazo para la plataforma de datos de la compañía. Trabajará de manera transversal con Ingeniería, Producto, Data Science y Analytics, convirtiéndose en un referente técnico para las decisiones de arquitectura y gobierno de datos. Qualifications - Más de 8 años de experiencia en ingeniería de datos, software o arquitectura de datos. - Al menos 3 años desempeñándose en roles de liderazgo técnico o arquitectura. - Experiencia diseñando plataformas de datos en entornos cloud y sistemas distribuidos. - Experiencia trabajando con grandes volúmenes de datos y arquitecturas orientadas a eventos. - Experiencia colaborando con equipos de ingeniería, producto y ciencia de datos. Requirements - Data Architecture: - Data Modeling (dimensional y operacional). - Data Warehousing. - Data Lakes y Lakehouse. - Batch y Stream Processing. - Event-Driven Architecture. - Data Governance y Metadata Management. - Data Quality y Observability. - Cloud & Infrastructure: - AWS, GCP o Azure. - Kubernetes y Docker. - Infraestructura como código (Terraform es un plus). - Data Engineering: - Python y SQL avanzado. - Apache Spark. - Airflow o herramientas equivalentes de orquestación. - Kafka o tecnologías de streaming. - dbt (deseable). - Databases: - PostgreSQL. - BigQuery, Snowflake o Redshift. - Bases de datos NoSQL. - AI & Machine Learning (deseable): - MLOps. - Feature Stores. - Arquitecturas para GenAI y LLMs. - Vector Databases. Benefits - Modalidad: 100% remoto. - Jornada: Tiempo completo (8 horas diarias). - Compensación: Hasta USD 4800 mensuales neto. - Tipo de contrato: Contratista a través de Workana. - Duración: 3 meses inicialmente, tras este período, tiene posibilidad de incorporación directa por el cliente. Process of Selection - Video Screening asincrónico en Hireflix (Workana). - Evaluación cultural (cliente). - Prueba Técnica (cliente). - Entrevista con el Director y CTO (cliente). Si te interesa esta posición y crees que eres el indicado/a aguardamos tu aplicación. En caso de quedar seleccionado/a para continuar, alguien del equipo de Talent de Workana se pondrá en contacto contigo!
• Especificar e evoluir a arquitetura de dados da empresa, garantindo sua escalabilidade e eficiência; • Definir e aplicar melhores práticas de governança de dados; • Traduzir demanda de negócio para uma arquitetura técnica; • Orientar equipes de negócio e técnicas sobre processos para implementar/modificar uma arquitetura; • Colaborar com equipes multidisciplinares para garantir a integração e a qualidade dos dados; • Promover a adoção de uma cultura de data mesh na organização; • Definir guide de melhores práticas e arquitetura de dados.
AI and Integration Architect
Tiger Analytics Inc.Tiger Analytics is a fast-growing advanced analytics consulting firm, recognized as a trusted analytics partner for multiple Fortune 500 companies, enabling them to generate business value from data.
Role Description This role sits at the intersection of artificial intelligence and robust enterprise integration. Define the technical blueprint for scaling AI adoption across the organization, focusing specifically on LLMs, RAG, and predictive analytics, while building the high-performance API and messaging backbones required to fuel these real-time systems. - AI Strategy & Architecture: Define the technical blueprint and roadmap for enterprise AI adoption. Architect scalable frameworks for LLM integration, RAG, and predictive modeling, ensuring cost-efficiency, scalability, and ethical AI standards. - Data Integration & APIs: Design high-performance, secure API services (RESTful, GraphQL) and event-driven architectures to connect disparate systems and power real-time AI applications. - AI & Data Governance: Establish guardrails for data privacy, compliance, and security regarding AI training data, model inputs, and API access management. - Cross-Functional Leadership: Collaborate with executive leadership, data scientists, and product teams to translate business goals into production-ready AI and integration strategies. Qualifications - 8+ years of experience in software architecture, system integration, or machine learning engineering, with at least 2-3 years dedicated to productionizing AI/LLM solutions. - Preferred experience in Azure Databricks. Benefits - Significant career development opportunities exist as the company grows. - The position offers a unique opportunity to be part of a small, fast-growing, challenging and entrepreneurial environment, with a high degree of individual responsibility.
