{"schemaVersion":"jobsearcher.job.v1","id":"0bbe5c1029952fff458c092e","url":"https://jobsearcher.com/jobs/0bbe5c1029952fff458c092e","canonicalUrl":"https://jobsearcher.com/jobs/0bbe5c1029952fff458c092e","title":"Full Stack Data Engineer","description":"BioIntelliSense OverviewBioIntelliSense is ushering in a new era of continuous health monitoring and clinical intelligence for Remote Patient Monitoring (RPM) and Screening (COVID-19/Infection). Our medical-grade Data-as-a-Service (DaaS) platform seamlessly captures multi-parameter vital signs, physiological biometrics and symptomatic events through an effortless patient experience. The FDA-cleared BioSticker™ and BioButton™ devices make remote monitoring and early detection simple. Through the platform’s advanced analytics, clinicians, patients, and employers will now have access to high-resolution patient trending and reporting to enable medical grade care at home, and medical grade screening in the office, school, or residence. For more information on how BioIntelliSense is redefining remote patient monitoring through medical-grade and cost-effective data services, please visit our website at BioIntelliSense.com.Lever may use artificial intelligence (AI) tools to support parts of the hiring process, such as reviewing applications, analyzing resumes, or assessing responses and identifying potential inconsistencies or verification signals in application materials based on available information. These tools may assist our recruitment team but do not replace human judgment. All final hiring decisions are ultimately made by humans. If you would like more information about how your data is processed, please contact us.About The RoleThe Data Engineering team plays a pivotal role in creating, maintaining and developing BioIntelliSense’s data platform for both internal and external facing applications. The team focuses on enterprise data management and data accuracy to support internal operations, R&D teams as well as external operational metrics dashboards. In this role, you will have the opportunity to collaborate with cross-functional teams such as clinical applications, cloud infrastructure, sustaining, and data science, building your analytical mindset and the ability to communicate system-level relationships clearly. You will work primarily with the Python tech stack on Databricks and AWS. Your contributions will have a meaningful impact in BioIntelliSense’s mission to improve patient care around the world.The role will:Apply strong computer science fundamentals to develop and implement data pipelines and cloud-native applicationsCreate highly scalable REST APIs and web applications to support clinical workflows and internal toolsDesign and maintain automated ETL/ELT pipelines to ingest, clean, and transform clinical data from various sources into our internal data environmentImplement data validation and quality checks to ensure accuracy and reliability in clinical workflows and reportingCollaborate with a technical lead, product, and cross-functional teams to implement solutions that will continue to streamline internal operations as well as generate commercial valueParticipate in the engineering on-call rotation to ensure high service availability and uptimeApply software development best practices to bring product requirements to commercial deploymentAllow advancement in career growth tailored to individual goalsRequirements Bachelor’s degree in Computer Science or EngineeringExperience developing software applications, including internships or academic projectsStrong written and oral communication skillsAble to work both independently and collaboratively, with a strong capacity to interpret and execute abstract instructionsWillingness to learn and contribute to product improvementsSolid knowledge of PythonSolid understanding of SQL fundamentals, including the ability to perform joins and aggregate data from relational databasesPreferredFamiliarity with cloud platforms: AWS/GCPFamiliarity with ETL/ELT pipelines, data transformations and platforms such as DatabricksFamiliarity with Terraform and CI/CD pipelines","company":"Biointellisense","rawCompany":"biointellisense","city":"Denver","state":"CO","isRemote":false,"isActive":false,"createdAt":"2026-09-19T09:06:54.119Z","occupations":[{"code":"15-1243.01","title":"Data Warehousing Specialists","slug":"data-warehousing-specialists"},{"code":"15-1252.00","title":"Software Developers","slug":"software-developers"},{"code":"15-1299.08","title":"Computer Systems Engineers/Architects","slug":"computer-systems-engineers-architects"}],"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":"Full Stack Data Engineer","description":"BioIntelliSense OverviewBioIntelliSense is ushering in a new era of continuous health monitoring and clinical intelligence for Remote Patient Monitoring (RPM) and Screening (COVID-19/Infection). Our medical-grade Data-as-a-Service (DaaS) platform seamlessly captures multi-parameter vital signs, physiological biometrics and symptomatic events through an effortless patient experience. The FDA-cleared BioSticker™ and BioButton™ devices make remote monitoring and early detection simple. Through the platform’s advanced analytics, clinicians, patients, and employers will now have access to high-resolution patient trending and reporting to enable medical grade care at home, and medical grade screening in the office, school, or residence. For more information on how BioIntelliSense is redefining remote patient monitoring through medical-grade and cost-effective data services, please visit our website at BioIntelliSense.com.Lever may use artificial intelligence (AI) tools to support parts of the hiring process, such as reviewing applications, analyzing resumes, or assessing responses and identifying potential inconsistencies or verification signals in application materials based on available information. These tools may assist our recruitment team but do not replace human judgment. All final hiring decisions are ultimately made by humans. If you would like more information about how your data is processed, please contact us.About The RoleThe Data Engineering team plays a pivotal role in creating, maintaining and developing BioIntelliSense’s data platform for both internal and external facing applications. The team focuses on enterprise data management and data accuracy to support internal operations, R&D teams as well as external operational metrics dashboards. In this role, you will have the opportunity to collaborate with cross-functional teams such as clinical applications, cloud infrastructure, sustaining, and data science, building your analytical mindset and the ability to communicate system-level relationships clearly. You will work primarily with the Python tech stack on Databricks and AWS. Your contributions will have a meaningful impact in BioIntelliSense’s mission to improve patient care around the world.The role will:Apply strong computer science fundamentals to develop and implement data pipelines and cloud-native applicationsCreate highly scalable REST APIs and web applications to support clinical workflows and internal toolsDesign and maintain automated ETL/ELT pipelines to ingest, clean, and transform clinical data from various sources into our internal data environmentImplement data validation and quality checks to ensure accuracy and reliability in clinical workflows and reportingCollaborate with a technical lead, product, and cross-functional teams to implement solutions that will continue to streamline internal operations as well as generate commercial valueParticipate in the engineering on-call rotation to ensure high service availability and uptimeApply software development best practices to bring product requirements to commercial deploymentAllow advancement in career growth tailored to individual goalsRequirements Bachelor’s degree in Computer Science or EngineeringExperience developing software applications, including internships or academic projectsStrong written and oral communication skillsAble to work both independently and collaboratively, with a strong capacity to interpret and execute abstract instructionsWillingness to learn and contribute to product improvementsSolid knowledge of PythonSolid understanding of SQL fundamentals, including the ability to perform joins and aggregate data from relational databasesPreferredFamiliarity with cloud platforms: AWS/GCPFamiliarity with ETL/ELT pipelines, data transformations and platforms such as DatabricksFamiliarity with Terraform and CI/CD pipelines","datePosted":"2026-09-19T09:06:54.119Z","dateModified":"2026-09-19T09:06:54.119Z","hiringOrganization":{"@type":"Organization","name":"Biointellisense","sameAs":"https://jobsearcher.com"},"jobLocation":{"@type":"Place","address":{"@type":"PostalAddress","addressLocality":"Denver","addressRegion":"CO","addressCountry":"US"}},"identifier":{"@type":"PropertyValue","name":"JobSearcher","value":"0bbe5c1029952fff458c092e"},"url":"https://jobsearcher.com/jobs/0bbe5c1029952fff458c092e"}}