{"schemaVersion":"jobsearcher.job.v1","id":"500c4a5e91e76889f547bec0","url":"https://jobsearcher.com/jobs/500c4a5e91e76889f547bec0","canonicalUrl":"https://jobsearcher.com/jobs/500c4a5e91e76889f547bec0","title":"Data Engineer II, AWS, Python, SQL","description":"Own and deliver data pipeline development and ongoing support for Property and GL pricing use cases\r\nLead model implementation for Property and GL pricing models in partnership with Data Science and Actuarial teams\r\nBuild and serve as the GL data subject matter expert to support benchmarks, modernization initiatives, and future enhancements\r\nProvide project leadership, planning, and execution across Property and GL data engineering initiatives\r\nExecute complex data preparation activities, including exploration, cleansing, and transformation, with awareness of enterprise architecture, platforms, and downstream consumption patterns\r\nTranslate actuarial and data science requirements into scalable, production-ready data solutions\r\nAdopt and embed MLOps practices across the model development and implementation lifecycle\r\nEstablish data quality controls, profiling, and monitoring for model implementation and ongoing performance\r\nPresent analysis and technical recommendations to influence data architecture and implementation decisions\r\nProvide technical leadership through code reviews, design guidance, and mentoring within the team\r\nApply agile methodologies to plan, prioritize, and deliver work across concurrent initiatives\r\nPerform other duties as assigned\r\nRequirements Bachelor's Degree in STEM related field or equivalent.\r\nEight years of related experience.\r\nDeep, hands-on experience with modern engineering tools and practices, including: Cloud platforms (preferably AWS) and model implementation in the cloud\r\nProgramming in Python and SQL\r\nWorking with data engineering concepts and building/maintaining data pipelines\r\nAI-native solutions and modern software engineering practices (e.g., APIs, microservices, test automation)\r\nProven ability to deliver high-quality solutions at a steady, predictable pace: Breaks work into small, releasable increments Delivers complete, robust solutions while effectively managing tradeoffs\r\nDemonstrated domain expertise, including: Strong understanding of relevant technical concepts and industry trends\r\nIn-depth knowledge of the systems you've worked on and familiarity with adjacent systems\r\nStrong problem-solving skills with a focus on building resilient, long-lived systems and finding innovative ways to resolve issues.\r\nExcellent written and verbal communication skills, with the ability to collaborate effectively with engineers, product partners, and business stakeholders.\r\nProven experience leading or mentoring other engineers and helping to create a safe, inclusive environment where others can learn and grow.\r\nSelf-motivated, with a track record of proactively identifying opportunities, driving improvements, and following through on team efforts.\r\nPreferred, Not Required: Experience in or exposure to the insurance industry, or a strong desire to learn the domain.\r\nExperience with Infrastructure as Code and DevOps tooling, such as Terraform and CI/CD pipelines.\r\nCore Competencies Demonstrates expertise in data pipeline development and model implementation, with a strong focus on cloud platforms, particularly AWS. Proficient in Python and SQL, with a commitment to applying MLOps practices and agile methodologies to deliver high-quality, scalable data solutions.\r\nHighest-signal resume keywords Data Pipeline Development\r\nCloud Platforms (AWS)\r\nPython Programming\r\nSQL Programming\r\nMLOps Practices\r\nATS Optimization Keywords Hard Skills Data Engineering Concepts\r\nModel Implementation\r\nData Preparation Activities\r\nAI-Native Solutions\r\nTest Automation\r\nInfrastructure as Code\r\nDevOps Tooling\r\nAPIs\r\nMicroservices\r\nData Quality Controls\r\nSoft Skills Problem-Solving Skills\r\nExcellent Communication Skills\r\nLeadership\r\nMentoring\r\nSelf-Motivated\r\nIndustry Keywords Insurance Industry\r\nActuarial\r\nData Science\r\nModern Software Engineering Practices\r\nBenchmarking\r\nTools & Technologies Terraform\r\nCI/CD Pipelines\r\nCloud Platforms\r\nData Architecture\r\nEnterprise Architecture\r\nJ-18808-Ljbffr","company":"Jobtailor","rawCompany":"jobtailor","city":"Bel Air","state":"MD","isRemote":false,"isActive":false,"createdAt":"2026-08-08T01:46:01.894Z","occupations":[{"code":"15-1243.01","title":"Data Warehousing Specialists","slug":"data-warehousing-specialists"},{"code":"15-1252.00","title":"Software Developers","slug":"software-developers"},{"code":"15-2051.00","title":"Data Scientists","slug":"data-scientists"}],"industries":[{"code":"541511","title":"Custom Computer Programming Services","slug":"custom-computer-programming-services"},{"code":"541512","title":"Computer Systems Design Services","slug":"computer-systems-design-services"},{"code":"513210","title":"Software Publishers","slug":"software-publishers"}],"jobPosting":{"@context":"https://schema.org","@type":"JobPosting","title":"Data Engineer II, AWS, Python, SQL","description":"Own and deliver data pipeline development and ongoing support for Property and GL pricing use cases\r\nLead model implementation for Property and GL pricing models in partnership with Data Science and Actuarial teams\r\nBuild and serve as the GL data subject matter expert to support benchmarks, modernization initiatives, and future enhancements\r\nProvide project leadership, planning, and execution across Property and GL data engineering initiatives\r\nExecute complex data preparation activities, including exploration, cleansing, and transformation, with awareness of enterprise architecture, platforms, and downstream consumption patterns\r\nTranslate actuarial and data science requirements into scalable, production-ready data solutions\r\nAdopt and embed MLOps practices across the model development and implementation lifecycle\r\nEstablish data quality controls, profiling, and monitoring for model implementation and ongoing performance\r\nPresent analysis and technical recommendations to influence data architecture and implementation decisions\r\nProvide technical leadership through code reviews, design guidance, and mentoring within the team\r\nApply agile methodologies to plan, prioritize, and deliver work across concurrent initiatives\r\nPerform other duties as assigned\r\nRequirements Bachelor's Degree in STEM related field or equivalent.\r\nEight years of related experience.\r\nDeep, hands-on experience with modern engineering tools and practices, including: Cloud platforms (preferably AWS) and model implementation in the cloud\r\nProgramming in Python and SQL\r\nWorking with data engineering concepts and building/maintaining data pipelines\r\nAI-native solutions and modern software engineering practices (e.g., APIs, microservices, test automation)\r\nProven ability to deliver high-quality solutions at a steady, predictable pace: Breaks work into small, releasable increments Delivers complete, robust solutions while effectively managing tradeoffs\r\nDemonstrated domain expertise, including: Strong understanding of relevant technical concepts and industry trends\r\nIn-depth knowledge of the systems you've worked on and familiarity with adjacent systems\r\nStrong problem-solving skills with a focus on building resilient, long-lived systems and finding innovative ways to resolve issues.\r\nExcellent written and verbal communication skills, with the ability to collaborate effectively with engineers, product partners, and business stakeholders.\r\nProven experience leading or mentoring other engineers and helping to create a safe, inclusive environment where others can learn and grow.\r\nSelf-motivated, with a track record of proactively identifying opportunities, driving improvements, and following through on team efforts.\r\nPreferred, Not Required: Experience in or exposure to the insurance industry, or a strong desire to learn the domain.\r\nExperience with Infrastructure as Code and DevOps tooling, such as Terraform and CI/CD pipelines.\r\nCore Competencies Demonstrates expertise in data pipeline development and model implementation, with a strong focus on cloud platforms, particularly AWS. Proficient in Python and SQL, with a commitment to applying MLOps practices and agile methodologies to deliver high-quality, scalable data solutions.\r\nHighest-signal resume keywords Data Pipeline Development\r\nCloud Platforms (AWS)\r\nPython Programming\r\nSQL Programming\r\nMLOps Practices\r\nATS Optimization Keywords Hard Skills Data Engineering Concepts\r\nModel Implementation\r\nData Preparation Activities\r\nAI-Native Solutions\r\nTest Automation\r\nInfrastructure as Code\r\nDevOps Tooling\r\nAPIs\r\nMicroservices\r\nData Quality Controls\r\nSoft Skills Problem-Solving Skills\r\nExcellent Communication Skills\r\nLeadership\r\nMentoring\r\nSelf-Motivated\r\nIndustry Keywords Insurance Industry\r\nActuarial\r\nData Science\r\nModern Software Engineering Practices\r\nBenchmarking\r\nTools & Technologies Terraform\r\nCI/CD Pipelines\r\nCloud Platforms\r\nData Architecture\r\nEnterprise Architecture\r\nJ-18808-Ljbffr","datePosted":"2026-08-08T01:46:01.894Z","dateModified":"2026-08-08T01:46:01.894Z","hiringOrganization":{"@type":"Organization","name":"Jobtailor","sameAs":"https://jobsearcher.com"},"jobLocation":{"@type":"Place","address":{"@type":"PostalAddress","addressLocality":"Bel Air","addressRegion":"MD","addressCountry":"US"}},"identifier":{"@type":"PropertyValue","name":"JobSearcher","value":"500c4a5e91e76889f547bec0"},"url":"https://jobsearcher.com/jobs/500c4a5e91e76889f547bec0"}}