{"schemaVersion":"jobsearcher.job.v1","id":"81f82ff12ff43be15c8c3e11","url":"https://jobsearcher.com/jobs/81f82ff12ff43be15c8c3e11","canonicalUrl":"https://jobsearcher.com/jobs/81f82ff12ff43be15c8c3e11","title":"Data Engineer","description":"Role summary\r\nWe are looking for a Data Engineer to ensure our AI and data scientists have reliable, wellstructured, and highquality data across our healthcare and financial services products. The role focuses primarily on healthcare data from UK hospital trusts, with additional exposure to financial services data.\r\nMission\r\nYour mission is to design, maintain, and improve data pipelines and models that deliver accurate, timely, and trusted data to our AI, data science, and frontend teams. You will help turn complex healthcare and financial data into robust datasets and features that power productiongrade AI applications and userfacing experiences.\r\nAcademic Qualifications\r\nA degree in software engineering, data science or similar areas is desirable.\r\nKey responsibilities\r\nBuild, maintain, and optimize batch and nearrealtime data pipelines on Azure using Azure Data Factory, SQL, Spark, Postgres, Apache Airflow, data lakes, and related services.\r\nDesign and evolve data models and schemas that support AI/ML workflows, analytics, and product needs, with a strong focus on healthcare data (e.g., FHIR/HL7based structures).\r\nImplement data quality checks, testing, and monitoring to ensure accuracy, completeness, and freshness of data powering AI models and frontend features.\r\nSetup the necessary Archiving and Restore processes to manage data aggregation across environments.\r\nImplement API based data extraction and implement data scraping technology where data access is not granted via APIs.\r\nExpose identified data via APIs via the building of the necessary infrastructure and end points.\r\nCollaborate closely with data analysts, AI/ML engineers, and frontend teams to understand their data needs and translate them into robust engineering solutions.\r\nContribute to and enforce data governance and security practices, including lineage, documentation, and standards for regulated healthcare and financial data.\r\nWork within a regulated environment, ensuring adherence to HIPAA, GDPR, and relevant healthcare and financial compliance requirements (including ISO27001).\r\nSupport the integration of data from existing hospital and financial partners and internal data science services into our platform's existing data architecture (without owning the initial partnerside ingestion).\r\nHelp improve performance, costefficiency, and reliability of the data platform as the company scales to more hospitals and financial services clients.\r\nRequired experience and skills\r\n3+ years of experience as a Data Engineer (or similar role) working with production data pipelines and data platforms.\r\nStrong proficiency with SQL and relational databases (Postgres or similar), including query optimization and schema design.\r\nHandson experience with Azure Data Factory and data lake architectures.\r\nExperience with orchestration tools (e.g., Airflow, Prefect, Dagster) and modern data transformation frameworks (e.g., dbt, Spark).\r\nSolid programming skills in Python, with a focus on building and maintaining ETL/ELT pipelines.\r\nExperience supporting data for AI/ML teams or dataheavy products, including feature creation and model input preparation.\r\nFamiliarity with healthcare data, ideally including standards such as FHIR and HL7, and practical experience handling sensitive health data.\r\nUnderstanding of data quality frameworks, testing strategies, and monitoring/alerting for data pipelines.\r\nComfortable working in a regulated environment with HIPAA, GDPR, and PCIDSS or similar requirements.\r\nStrong collaboration and communication skills, able to work closely with data scientists, AI/ML engineers, and frontend engineers.\r\nNice to have\r\nExposure to financial services data (e.g., payments, billing, transactional or claims data) and related compliance expectations.\r\nExperience with Microsoft PowerBI and other front end data reporting tools\r\nExperience working with GIT or other version control systems\r\nExperience with AI/LLMoriented data infrastructure such as feature stores, vector databases, or RAGstyle data flows.\r\nExperience working with UK hospital trusts or health systems and their data ecosystems.\r\nExperience with eventdriven or streaming architectures for nearrealtime data.\r\nFamiliarity with Azure Devops and pipelines.\r\nReporting and ways of working\r\nReports to: Data Architect.\r\nEnvironment: Joining an existing data and AI setup, with significant scope to improve and extend current pipelines and models.\r\nLocation: Flexible (remote/hybrid), with occasional travel for rare onsite sessions as needed.\r\nJ-18808-Ljbffr","company":"Ebo","rawCompany":"ebo","city":"Mission","state":"KS","isRemote":false,"isActive":false,"createdAt":"2026-04-10T04:52:52.799Z","occupations":[{"code":"15-1243.01","title":"Data Warehousing Specialists","slug":"data-warehousing-specialists"},{"code":"15-1243.00","title":"Database Architects","slug":"database-architects"},{"code":"15-2051.00","title":"Data Scientists","slug":"data-scientists"}],"industries":[{"code":"541512","title":"Computer Systems Design Services","slug":"computer-systems-design-services"},{"code":"541511","title":"Custom Computer Programming Services","slug":"custom-computer-programming-services"},{"code":"513210","title":"Software Publishers","slug":"software-publishers"}],"jobPosting":{"@context":"https://schema.org","@type":"JobPosting","title":"Data Engineer","description":"Role summary\r\nWe are looking for a Data Engineer to ensure our AI and data scientists have reliable, wellstructured, and highquality data across our healthcare and financial services products. The role focuses primarily on healthcare data from UK hospital trusts, with additional exposure to financial services data.\r\nMission\r\nYour mission is to design, maintain, and improve data pipelines and models that deliver accurate, timely, and trusted data to our AI, data science, and frontend teams. You will help turn complex healthcare and financial data into robust datasets and features that power productiongrade AI applications and userfacing experiences.\r\nAcademic Qualifications\r\nA degree in software engineering, data science or similar areas is desirable.\r\nKey responsibilities\r\nBuild, maintain, and optimize batch and nearrealtime data pipelines on Azure using Azure Data Factory, SQL, Spark, Postgres, Apache Airflow, data lakes, and related services.\r\nDesign and evolve data models and schemas that support AI/ML workflows, analytics, and product needs, with a strong focus on healthcare data (e.g., FHIR/HL7based structures).\r\nImplement data quality checks, testing, and monitoring to ensure accuracy, completeness, and freshness of data powering AI models and frontend features.\r\nSetup the necessary Archiving and Restore processes to manage data aggregation across environments.\r\nImplement API based data extraction and implement data scraping technology where data access is not granted via APIs.\r\nExpose identified data via APIs via the building of the necessary infrastructure and end points.\r\nCollaborate closely with data analysts, AI/ML engineers, and frontend teams to understand their data needs and translate them into robust engineering solutions.\r\nContribute to and enforce data governance and security practices, including lineage, documentation, and standards for regulated healthcare and financial data.\r\nWork within a regulated environment, ensuring adherence to HIPAA, GDPR, and relevant healthcare and financial compliance requirements (including ISO27001).\r\nSupport the integration of data from existing hospital and financial partners and internal data science services into our platform's existing data architecture (without owning the initial partnerside ingestion).\r\nHelp improve performance, costefficiency, and reliability of the data platform as the company scales to more hospitals and financial services clients.\r\nRequired experience and skills\r\n3+ years of experience as a Data Engineer (or similar role) working with production data pipelines and data platforms.\r\nStrong proficiency with SQL and relational databases (Postgres or similar), including query optimization and schema design.\r\nHandson experience with Azure Data Factory and data lake architectures.\r\nExperience with orchestration tools (e.g., Airflow, Prefect, Dagster) and modern data transformation frameworks (e.g., dbt, Spark).\r\nSolid programming skills in Python, with a focus on building and maintaining ETL/ELT pipelines.\r\nExperience supporting data for AI/ML teams or dataheavy products, including feature creation and model input preparation.\r\nFamiliarity with healthcare data, ideally including standards such as FHIR and HL7, and practical experience handling sensitive health data.\r\nUnderstanding of data quality frameworks, testing strategies, and monitoring/alerting for data pipelines.\r\nComfortable working in a regulated environment with HIPAA, GDPR, and PCIDSS or similar requirements.\r\nStrong collaboration and communication skills, able to work closely with data scientists, AI/ML engineers, and frontend engineers.\r\nNice to have\r\nExposure to financial services data (e.g., payments, billing, transactional or claims data) and related compliance expectations.\r\nExperience with Microsoft PowerBI and other front end data reporting tools\r\nExperience working with GIT or other version control systems\r\nExperience with AI/LLMoriented data infrastructure such as feature stores, vector databases, or RAGstyle data flows.\r\nExperience working with UK hospital trusts or health systems and their data ecosystems.\r\nExperience with eventdriven or streaming architectures for nearrealtime data.\r\nFamiliarity with Azure Devops and pipelines.\r\nReporting and ways of working\r\nReports to: Data Architect.\r\nEnvironment: Joining an existing data and AI setup, with significant scope to improve and extend current pipelines and models.\r\nLocation: Flexible (remote/hybrid), with occasional travel for rare onsite sessions as needed.\r\nJ-18808-Ljbffr","datePosted":"2026-04-10T04:52:52.799Z","dateModified":"2026-04-10T04:52:52.799Z","hiringOrganization":{"@type":"Organization","name":"Ebo","sameAs":"https://jobsearcher.com"},"jobLocation":{"@type":"Place","address":{"@type":"PostalAddress","addressLocality":"Mission","addressRegion":"KS","addressCountry":"US"}},"identifier":{"@type":"PropertyValue","name":"JobSearcher","value":"81f82ff12ff43be15c8c3e11"},"url":"https://jobsearcher.com/jobs/81f82ff12ff43be15c8c3e11"}}