Fusion Risk Management is recognized as the most innovative and fastest growing provider of cloud-based enterprise software for business continuity risk management, IT disaster recovery and crisis management. Fusion is transforming the industry and has been named a leader in Gartner's Magic Quadrant for Business Continuity Management software.
Senior Data Engineer
Location
United States
Posted
63 days ago
Salary
$135K - $155K / year
Seniority
Senior
Job Description
Senior Data Engineer
Fusion Risk Management
The Role We're looking for a product-minded Senior Data Engineer to lead the buildout of a new, greenfield enterprise data platform at Fusion. This is not a maintenance role. You will architect and own a new data platform product from the ground up-designing the infrastructure, pipelines, storage layers, and connectors that unify resilience data across customers, systems, and cloud environments. You will define how data is ingested, modeled, stored, governed, and exposed across Fusion's ecosystem. This platform will power next-generation analytics, intelligent functionality, integrations, and external data products. This is a high-ownership opportunity for someone who wants to build something foundational, influence architectural direction, and create a scalable data platform that becomes core to Fusion's long-term strategy. Key Responsibilities • Architect and build Fusion's next-generation enterprise data platform from the ground up, including data lake and warehouse components.• Design and implement scalable ETL/ELT pipelines to ingest and transform data from internal systems, customer environments, and third-party platforms.• Develop and/or leverage reusable ingestion frameworks and system connectors (e.g., Salesforce, ServiceNow, APIs, cloud storage, event streams).• Define data modeling standards, transformation layers, and storage strategies to support analytics, reporting, and product capabilities.• Establish best practices for data governance, quality, observability, lineage, and security across the platform.• Build backend services and APIs that expose data capabilities to downstream applications and products.• Partner with product and engineering leadership to shape the long-term data platform roadmap. Knowledge, Skills, and Abilities • Strong SQL expertise with experience designing performant data models and production-grade transformations.• Experience building data lakes, warehouses, and distributed data systems from the ground up.• Experience with one or more modern data platform technologies such as Snowflake, Databricks, AWS, Azure, or GCP.• Strong understanding of ETL/ELT patterns, orchestration, and pipeline reliability.• Experience designing and implementing enterprise system integrations and APIs.• Strong engineering fundamentals with focus on scalability, performance, monitoring, and security.• Experience with Salesforce or ServiceNow data models and integrations (bonus).• Strong Java skills or experience building backend services in Java (bonus).• Experience working in Azure environments (bonus).• Product-oriented mindset with the ability to make pragmatic architectural decisions in ambiguous, early-stage environments. Qualifications (Education and Experience) • Bachelor's degree in Computer Science, Engineering, Information Systems, or a related field.• 5+ years of experience in data engineering, backend data systems, or platform engineering roles.• Experience building or significantly expanding a data platform or data infrastructure in a production environment.• Experience working in cloud-native environments.• Experience designing enterprise-grade integrations and connectors.• Experience with Salesforce or ServiceNow integrations (nice to have).• Experience with Java-based services (nice to have).• Experience with Azure (nice to have). Milestones for the First Six Months In one month, you will: - Complete onboarding and gain deep familiarity with Fusion's products, architecture, and long-term platform vision - Assess the current state of data infrastructure and define a proposed architecture for the new platform - Align with product and engineering leadership on platform scope and priorities In three months, you will: - Deliver the first foundational components of the greenfield data platform (core storage layer, initial pipelines, and architecture patterns) - Implement initial ETL/ELT workflows and at least one production-grade system connector - Establish standards for modeling, governance, and observability In six months, you will: - Own and deliver the first production-ready version of Fusion's new data platform product - Have multiple ingestion pipelines and connectors operating reliably in production - Serve as the architectural owner of the platform, driving roadmap and technical direction - Propose and lead the next phase of platform expansion (scalability, performance optimization, advanced integrations) Compensation & Benefits The annual base salary range for this position is $135,000-$155,000, depending on the candidate's experience, qualifications, and relevant skill set. The position is also eligible for an annual bonus. Fusion offers a comprehensive benefits package including medical, dental, vision, and a 401(k) plan. Disclaimers Fusion is an Equal Opportunity Employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, disability, age, pregnancy, military service or discharge status, genetic information, sex, sexual orientation, gender identity, or national origin. Nothing in this job posting should be construed as an offer or guarantee of employment.
Benefits
- 401(K), 401(K) matching, Commuter benefits, Company equity, Company-sponsored outings, Continuing education stipend, Customized development tracks, Dedicated diversity and inclusion staff, Dental insurance, Disability insurance, Diversity manifesto, Volunteer in local community, Family medical leave, Fitness stipend, Flexible Spending Account (FSA), Flexible work schedule, Generous parental leave, Generous PTO, Company-sponsored happy hours, Health insurance, Job training & conferences, Open door policy, Life insurance, Charitable contribution matching, Mentorship program, Paid volunteer time, Online course subscriptions available, Open office floor plan, Paid holidays, Paid industry certifications, Paid sick days, Partners with nonprofits, Performance bonus, Pet insurance, Promote from within, Lunch and learns, Remote work program, Free snacks and drinks, Team based strategic planning, OKR operational model, Tuition reimbursement, Mandated unconscious bias training, Vision insurance, Wellness programs, Mental health benefits, Home-office stipend for remote employees, Diversity employee resource groups, Hiring practices that promote diversity, Employee resource groups, Employee-led culture committees, Quarterly engagement surveys, Hybrid work model, In-person revenue kickoff, Summer hours, President's club, Employee awards, Diversity recruitment program, Wellness days, Abortion travel benefits, Mother's room, Virtual coaching services, Flexible time off, Bereavement leave benefits
Related Guides
Related Categories
Related Job Pages
More Data Engineer Jobs
Analytica is seeking a Senior Data Architect to design, implement, and optimize enterprise data solutions in support of federal government missions. The Data Architect will play a hands-on role in modernizing data environments, leveraging cloud-native technologies, Databricks, and advanced data engineering frameworks to ensure scalable, secure, and high-performing solutions. This role requires strong expertise in cloud platforms (AWS, Azure, GCP), big data ecosystems, and modern data architecture patterns, along with an ability to translate mission needs into technical solutions. Analytica has been recognized by Inc. Magazine as one of the fastest-growing 250 businesses in the US for 3 years. We work with U.S. government clients in health, civilian, and national security missions to build better technology products that impact our day-to-day lives. The company offers competitive compensation with opportunities for bonuses, employer-paid health care, training and development funds, and 401k match. Responsibilities include (but not limited to): - Design and implement scalable data architectures for structured, semi-structured, and unstructured data. - Lead the modernization of legacy data environments into cloud-based, big data platforms. - Architect solutions leveraging Databricks, Spark, Delta Lake, and related big data technologies. - Define and enforce data governance, data security, and metadata management practices in compliance with federal standards. - Collaborate with government stakeholders, program managers, and development teams to ensure alignment with mission objectives. - Develop data models, pipelines, APIs, and integration strategies across multiple data sources and platforms. - Ensure architectures support analytics, AI/ML, and business intelligence use cases. - Mentor data engineers and developers, promoting best practices in coding, design, and performance optimization. - Support capture and proposal activities by shaping technical solutions and writing architecture content for bids. Basic Qualifications: - Bachelor’s degree in Computer Science, Engineering, Information Systems, or related field (Master’s preferred). - 8+ years of experience in data architecture, data engineering, or solution architecture, including at least 3 years with cloud-based solutions. - Databricks certification (such as Databricks Certified Data Engineer Associate or Professional) - Expertise in Databricks, Apache Spark, Delta Lake, and distributed data processing frameworks. - Strong knowledge of AWS (Glue, S3, Redshift, EMR), Azure (Synapse, Data Lake, Purview), or GCP (BigQuery, Dataflow, Dataproc). - Experience designing data lakes, data warehouses, and streaming/real-time data architectures. - Familiarity with federal data standards (e.g., FISMA, FedRAMP, CUI handling, data governance frameworks). - Proficiency in SQL, Python, and big data query optimization. - Must be US Citizen - Must be able to obtain and maintain a Public Trust security clearance - Preferred: - Certifications in cloud platforms (AWS Certified Data Analytics, Azure Data Engineer, GCP Data Engineer). - Experience supporting federal data modernization, digital transformation, or analytics programs. - Familiarity with data governance tools (Collibra, Alation, Informatica, Purview). - Exposure to AI/ML pipelines and MLOps in cloud environments About ANALYTICA: Analytica is a leading consulting and information technology solutions provider to public sector organizations supporting health, civilian, and national security missions. Founded in 2009 and headquartered in Bethesda, MD, the company is an established SBA small business that has been recognized by Inc. Magazine each of the past three years as one of the 250 fastest-growing companies in the U.S. Analytica specializes in providing software and systems engineering, information management, analytics & visualization, agile project management, and management consulting services. The company is appraised by the Software Engineering Institute (SEI) at CMMI® Maturity Level 3 and is an ISO 9001:2008 certified provider. Analytica LLC is an Equal Opportunity Employer. We are committed to providing equal employment opportunities to all individuals, regardless of race, color, religion, sex, sexual orientation, gender identity, national origin, age, disability, or any other characteristic protected by applicable federal, state, or local law. As a federal contractor, we comply with the Vietnam Era Veterans' Readjustment Assistance Act (VEVRAA) and take affirmative action to employ and advance in employment qualified protected veterans. We ensure that all employment decisions are based on merit, qualifications, and business needs. We prohibit discrimination and harassment of any kind. Analytica LLC also provides reasonable accommodations to applicants and employees with disabilities, in accordance with applicable law. To enhance efficiency, fairness, and accuracy, Analytica may use AI-assisted tools to support certain aspects of our hiring process. - Application Review: AI tools may help identify skills and experiences relevant to the role. - Interview Support: AI-powered notetaking tools may be used during interviews to document discussions and summarize key points. These tools are used to assist our team. All hiring decisions are made by Analytica recruiters and hiring managers. By submitting an application, you acknowledge that AI-assisted tools may be used to support parts of the application and interview process. When receiving email communication from Analytica, please ensure that the email domain is analytica.net to verify its authenticity.
Lead Data Engineer
Centene CorporationTransforming the health of the communities we serve, one person at a time.
You could be the one who changes everything for our 28 million members by using technology to improve health outcomes around the world. As a diversified, national organization, Centene's technology professionals have access to competitive benefits including a fresh perspective on workplace flexibility. Position Purpose: Uses advanced expertise and knowledge to lead the development and operationalization of data pipelines to make data available for consumption (reports and advanced analytics), including data ingestion, data transformation, data validation / quality, data pipeline optimization, and orchestration. Works closely with the DevSecOps Engineer during continuous integration and continuous deployment. - Leads the design and implementation of standardized data management procedures around data staging, data ingestion, data preparation, data provisioning, and data destruction (scripts, programs, automation, assisted by automation, etc.) - Leads data engineers and provides advanced experience in the design, development, implementation, testing, documenting, and operating of large-scale, high-volume, high-performance data structures for business intelligence analytics - Leads the team using advanced experience and knowledge in the design, development, and maintenance of real-time processing applications and real-time data pipelines - Ensure quality of technical solutions as data moves across Centene’s environments - Provides advanced knowledge and insight into the changing data environment, data processing, data storage, and utilization requirements for the company and offers suggestions for solutions - Develops, constructs, tests, and maintains architectures using advanced programming language and tools - Leads and implements ways to improve data reliability, efficiency, and quality; use data to discover tasks that can be automated - Performs other duties as assigned - Complies with all policies and standards Education/Experience: A Bachelor's degree in a quantitative or business field (e.g., statistics, mathematics, engineering, computer science) and requires 5 – 7 years of related experience. Or equivalent experience acquired through accomplishments of applicable knowledge, duties, scope and skill reflective of the level of this position. Technical Skills: - One or more of the following skills are desired. - - ETL - Snowflake - SQL Pay Range: $102,900.00 - $190,500.00 per year Centene offers a comprehensive benefits package including: competitive pay, health insurance, 401K and stock purchase plans, tuition reimbursement, paid time off plus holidays, and a flexible approach to work with remote, hybrid, field or office work schedules. Actual pay will be adjusted based on an individual's skills, experience, education, and other job-related factors permitted by law, including full-time or part-time status. Total compensation may also include additional forms of incentives. Benefits may be subject to program eligibility. Centene is an equal opportunity employer that is committed to diversity, and values the ways in which we are different. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, disability, veteran status, or other characteristic protected by applicable law. Qualified applicants with arrest or conviction records will be considered in accordance with the LA County Ordinance and the California Fair Chance Act
Engenheiro(a) de Dados | São Paulo/SP
SolenisBuilding a safer & healthier world through sustainable innovation.
Posição: Engenheiro(a) de Dados Localidade de trabalho: Região de São Paulo/SP Modelo de trabalho: Remoto Principais responsabilidades - Estruturar e integrar dados comerciais e operacionais, conectando SAP, CRM (Salesforce), sistemas de pricing (Pricefx ou Vistex), dados de mercado e ferramentas externas, utilizando SQL, Python e VBA para construção de pipelines, modelos de dados e automações que suportem análises de preço, margem, mix, volume e competitividade por cliente, região e canal. - Desenvolver inteligência de preços e mercado, consolidando dados de campo, web crawlers, ferramentas de monitoramento online e pesquisas estruturadas, permitindo análises comparativas de preços, posicionamento competitivo, dinâmica regional e identificação de oportunidades de ajuste de preço, margem e posicionamento de mercado. - Criar e evoluir aplicações de captura de dados no campo, utilizando ferramentas assistidas por IA (ex.: Cursor, Replit) e técnicas de Machine Learning para reconhecimento de preços e produtos via imagem, identificação automática de cliente por geolocalização e registro estruturado de produtos concorrentes. - Construir simuladores de custo, preço e margem, integrando dados de BOMs por MATNR, custos de matérias-primas, logística, impostos e produção, permitindo entender profundamente os direcionadores de custo do negócio e dos concorrentes, e suportar decisões sobre onde fabricar, quanto produzir, quando importar ou nacionalizar produtos e como otimizar o footprint industrial e o supply chain. - Refinar estimativas de participação de mercado e dinâmica competitiva, combinando dados internos, pesquisa de mercado e bases públicas de importação/exportação (incluindo dados fornecidos pelos governos do Brasil, China e Índia), permitindo estimar volumes, fluxos comerciais e presença competitiva por região e produto. - Desenvolver dashboards e modelos analíticos, utilizando Tableau e Power BI (DAX e M) para análises rápidas de preço, sell-out, competitividade, participação de mercado e performance comercial por região, estado ou país. - Gerenciar a plataforma corporativa de QR Codes, garantindo criação, rastreabilidade e integração dos dados de uso com sistemas analíticos para suporte a iniciativas comerciais, marketing e relacionamento com clientes. - Apoiar avaliações e decisões sobre desenvolvimento, lançamento, racionalização e reposicionamento de produtos, utilizando dados de mercado, margem, competitividade, custos e performance comercial para orientar priorização de SKUs, definição de preço, estratégia de portfólio e evolução do negócio. Requisitos Técnicos - SQL - Python - VBA - Tableau - Power BI (DAX e Power Query / M) - modelagem e integração de dados - experiência com dados de negócio (preço, custo, vendas, supply chain ou mercado) Requisitos Desejáveis - desenvolvimento de coleta automatizada de dados - visão computacional / OCR - conceitos de Machine Learning aplicados a pricing, mercado ou demanda - integração com SAP, CRM ou plataformas de pricing - análise de dados de comércio exterior - experiência com dados logísticos ou de supply chain - Forte capacidade analítica e pensamento estruturado - Habilidade comprovada de “connect the dots” entre dados técnicos e decisões de negócio - Orientação prática para resolver problemas comerciais, operacionais e estratégicos - Curiosidade sobre mercado, concorrência, custos e dinâmica de preços - Capacidade de traduzir dados em decisões acionáveis para o negócio - Disposição genuína para compreender problemas de forma aprofundada (problem understanding) e então buscar soluções Sobre a Solenis Somos uma indústria química que diariamente se propõe a resolver desafios complexos no tratamento de água, melhoria de processos e de higiene para clientes nos mercados de consumo, industrial, institucional, alimentos e bebidas e água de piscinas e spas, por meio de pessoas, experiência e tecnologia. Somos líderes globais na produção e aplicação especialidades químicas com foco no fornecimento de soluções sustentáveis para setores com uso intensivo de água, incluindo os mercados de consumo, industrial, institucional, de alimentos e bebidas, e de água de piscinas e spas. Nossa missão é ser um parceiro e entregar valor ao resolver desafios operacionais e de sustentabilidade com as pessoas certas, a experiência certa e a tecnologia certa com soluções que ajudam a preservar os recursos naturais e promovem ambientes mais limpos e seguros. Na Solenis você encontrará um excelente ambiente de trabalho, com autonomia, desafios e oportunidades de crescimento. Valorizamos a diversidade e estamos na constante caminhada para nos tornarmos uma empresa mais diversa e inclusiva a cada dia, isso reflete-se em nossos processos seletivos. Reforçamos que todas as pessoas são bem-vindas, independente de gênero, raça, orientação sexual, identidade de gênero, idade, deficiência ou qualquer outra característica. O (a) candidato (a) selecionado (a) deverá ter uma ética de trabalho exemplar e altos padrões de integridade. Venha fazer parte do time Solenis!
Ingeniero de Datos Senior
SofkaRetos técnicos y personales que te mantendrán en constante crecimiento. Un equipo conectado, enfocado en tu bienestar físico y mental. Cultura de mejora continua, fresca y colaborativa, con oportunidades de aprendizaje y gente dispuesta a apoyarte. Programas como Happy Kaizen y WeSofka que cuidan tu bienestar físico y emocional.
¿Estás buscando nuevos desafíos y un lugar donde puedas disfrutar de un ambiente cercano mientras aprendes constantemente? ¡Bienvenido a un equipo con un propósito claro: "TRANSFORMAR la vida de las personas siendo el aliado TECNOLÓGICO más confiable"! 🚀 ¡Prepárate y únete a esta aventura! ¿Qué encontrarás? - Retos técnicos y personales que te mantendrán en constante crecimiento.🤝 Un equipo conectado, enfocado en tu bienestar físico y mental. - Cultura de mejora continua, fresca y colaborativa, con oportunidades de aprendizaje y gente dispuesta a apoyarte. - KaizenHub, un programa diseñado para potenciar tus talentos, con feedback, mentorías y coaching a través de Sofka U. ¡Será un reto y un juego a la vez! 🧠🎮 - Programas como Happy Kaizen y WeSofka que cuidan tu bienestar físico y emocional. ¿Qué buscamos? Un Ingeniero de datos Senior con más de 5 años de experiencia liderando el ciclo de vida de soluciones de información de alto impacto. Tu perfil destaca por un dominio técnico excepcional en optimización de bases de datos, arquitecturas Big Data y ecosistemas Cloud, junto con la capacidad de diseñar modelos robustos como Data Mesh y Lakehouse. Buscamos a un experto que no solo ejecute, sino que garantice la eficiencia y legibilidad del código mediante prácticas de Clean Code, impulsando la excelencia técnica en ambientes OnPremise y nube. Responsabilidades - Realizar el diseño de ingeniería de soluciones de datos alineadas a la visión de Arquitectura, asegurando altos estándares de eficiencia y escalabilidad. - Desarrollar y desplegar productos de datos complejos (ETLs, ELTs, APIs) utilizando herramientas de vanguardia y aplicando principios de Clean Code. - Aplicar estrategias de validación y testing orientado a datos para verificar rigurosamente criterios funcionales y no funcionales. - Liderar iniciativas de mejora continua, identificando proactivamente oportunidades para optimizar productos y procesos de desarrollo. - Participar en tareas de programación en pares y revisiones técnicas para elevar la calidad del desarrollo dentro de todo el equipo. - Resolver incidencias en ambientes de estabilización y proponer soluciones estructurales a largo plazo para evitar su recurrencia. - Diseñar componentes genéricos, plantillas y lógicas reutilizables que aceleren el time-to-market de los nuevos desarrollos. - Proponer y ejecutar actividades de Onboarding y mentoría técnica para fortalecer el crecimiento de los ingenieros que se integran al equipo. Requisitos Formación: Profesional graduado en Ingeniería de Sistemas, Computación, Electrónica o carreras afines con enfoque en gestión de datos. Experiencia: Más de 5 años de experiencia comprobable en análisis, diseño y despliegue de soluciones Big Data y bases de datos relacionales/NoSQL. Experiencia sólida en resolución de conflictos, negociación y exposición de conceptos técnicos a perfiles de negocio. Conocimientos Técnicos - Motores de Base de Datos: Oracle, SQL Server, Postgres y NoSQL (MongoDB, Cassandra, ElasticSearch). - Ecosistemas Big Data: Apache Spark (SQL/Python), PySpark, Hadoop, HDFS, Kafka y Flink. - Cloud Computing: Dominio de AWS, Azure (Data Factory) y Google Cloud Platform (DataFlow). - Arquitecturas Modernas: Datawarehouse, Lakehouse, Data Mesh, Data Fabric y Arquitecturas orientadas a eventos. - Herramientas ETL: SSIS, Pentaho, Talend, AWS Glue y STRATIO. - Desarrollo y DevOps: Lenguajes Scala o Java, diseño de APIs, herramientas de CI/CD y control de versiones. - Metodologías: Marcos de trabajo Ágiles y estrategias DataOps / MLOps. ¡PRESENTATE y sé parte de esta historia! Condiciones - Contrato a término indefinido o Contractor ¡Queremos relaciones a largo plazo y que seas parte de nuestra familia por mucho tiempo! - ¿Buscas crecimiento profesional? En Sofka, te ofrecemos un ecosistema de aprendizaje con múltiples herramientas para cerrar brechas y potenciar tus habilidades. ¡Tú decides cómo quieres crecer! 📚
