{"schemaVersion":"jobsearcher.job.v1","id":"16437a90c9f588eca072ae7a","url":"https://jobsearcher.com/jobs/16437a90c9f588eca072ae7a","canonicalUrl":"https://jobsearcher.com/jobs/16437a90c9f588eca072ae7a","title":"Data Engineer / Backend Developer","description":"Data Engineer / Backend Developer\n\nLexical Intelligence provides software and services related to processing large-scale biomedical information sources. Our NLP and analytics software is used by policy and decision makers to evaluate and prioritize current and emerging areas of research.\n\nLexical Intelligence is seeking a Data Engineer / Backend Developer to design, build, and maintain scalable web applications and content management solutions that support enterprise operations and data distribution. This person will drive back-end development, API integrations, and content management framework improvements for cloud-native platforms supporting dynamic data workflows.\n\nThis role owns key components of back-end application logic, content modeling, and data delivery pipelines, with a strong emphasis on system reliability, maintainability, and clear architecture across the platform.\n\nThis is a hands-on role responsible for developing robust services, database interactions, content management workflows, and API endpoints to fulfill key functional and mission requirements. The role includes modernizing legacy back-end components, optimizing system performance, and improving content architecture for efficient access and administration.\n\nKey Responsibilities\n\nDesign and implement data quality, validation, and observability frameworks, including rules, SLAs, and anomaly detection across ingestion and enrichment pipelines\nBuild systems to track and report on data completeness, record counts, and changes over time to ensure integrity and detect unexpected variation\nSupport downstream NLP and analytics pipelines by delivering high-quality, well-structured, and consistently enriched data\nContribute to the modernization of legacy data processing frameworks into reusable, scalable platform components\nDevelop APIs and data integration services to expose and operationalize curated datasets\nDesign and implement data mapping, transformation, and normalization across heterogeneous data sources\nImplement and modernize automated data ingestion frameworks, including batch pipelines and crawler-based ingestion\nMonitor, optimize, and instrument data pipelines for performance, reliability, and transparency\nDesign and maintain data lineage, metadata, and documentation to provide transparency into data coverage, completeness, and flow\nCollaborate with governance and security teams to ensure compliance standards are met and to support ongoing ATO requirements through documentation and system design\n\nMinimum Qualifications\n\nBachelor’s degree in computer science or related discipline, and 5+ years of professional experience in Data Engineering, Analytics Engineering, or Data Architecture\nStrong knowledge of data integration patterns, data lifecycle management, and modern cloud-based data architecture\nExperience designing or implementing data quality frameworks, validation rules, and data observability solutions\nExperience working with large, multi-entity datasets and reconciling data across disparate sources\nAbility to work independently to deliver data solutions while collaborating within a cross-functional engineering team\nStrong hands-on experience with pipeline automation, orchestration, and data framework development\nStrong technical writing and documentation skills with meticulous attention to detail.\nProven ability to communicate requirements effectively to engineers, data scientists, and program leadership\nJava proficiency required\nExperience developing backend data processing systems and working in Linux-based environments; strong proficiency with JSON and API-based data integration\n\nPreferred Qualifications\n\nMasters degree in a related discipline\nFamiliarity with large-scale data platforms, biomedical data, or research-focused systems, including data privacy considerations for sensitive or regulated data\nExperience supporting public-facing federal systems or APIs\nDatabricks familiarity\nOne or more of the following certifications: AWS Certified Data Engineer - Associate, Databricks Certified Data Engineer Associate/Professional\nCloud architecture / DevOps experience or knowledge\n\nAll candidates will be required to undergo a background check, must be authorized to work in the United States, and must be able to obtain and maintain an NIH badge with Public Trust Level Two suitability.\n\nLocation\n\nPreference will be given to candidates within reasonable commuting distance of Bethesda, MD. Candidates outside the greater Washington, D.C. / Maryland / Virginia area may be responsible for their own transportation costs for badging, equipment retrieval, and in-person attendance when required.\n\nSalary and benefits\n\nWe offer a competitive salary and a generous benefits package, including at no cost: full health and dental for you and your dependents, HSA account, 401k, short- and long-term disability insurance, life and accident insurance, paid time off, and 11 federal holidays.\n\nEqual Employment Opportunity Policy\n\nLexical Intelligence, LLC, provides equal employment opportunities to all employees and applicants for employment and prohibits discrimination and harassment of any type without regard to race, color, religion, age, sex, national origin, disability status, genetics, protected veteran status, sexual orientation, gender identity or expression, or any other characteristic protected by federal, state or local laws.\n\nThis policy applies to all terms and conditions of employment, including recruiting, hiring, placement, promotion, termination, layoff, recall, transfer, leaves of absence, compensation and training.","company":"Lexical Intelligence","rawCompany":"lexical intelligence","city":"Bethesda","state":"MD","isRemote":false,"isActive":false,"createdAt":"2026-09-24T11:38:34.981Z","occupations":[{"code":"15-1243.01","title":"Data Warehousing Specialists","slug":"data-warehousing-specialists"},{"code":"15-1252.00","title":"Software Developers","slug":"software-developers"},{"code":"15-1243.00","title":"Database Architects","slug":"database-architects"}],"industries":[{"code":"541512","title":"Computer Systems Design Services","slug":"computer-systems-design-services"},{"code":"513210","title":"Software Publishers","slug":"software-publishers"},{"code":"541511","title":"Custom Computer Programming Services","slug":"custom-computer-programming-services"}],"jobPosting":{"@context":"https://schema.org","@type":"JobPosting","title":"Data Engineer / Backend Developer","description":"Data Engineer / Backend Developer\n\nLexical Intelligence provides software and services related to processing large-scale biomedical information sources. Our NLP and analytics software is used by policy and decision makers to evaluate and prioritize current and emerging areas of research.\n\nLexical Intelligence is seeking a Data Engineer / Backend Developer to design, build, and maintain scalable web applications and content management solutions that support enterprise operations and data distribution. This person will drive back-end development, API integrations, and content management framework improvements for cloud-native platforms supporting dynamic data workflows.\n\nThis role owns key components of back-end application logic, content modeling, and data delivery pipelines, with a strong emphasis on system reliability, maintainability, and clear architecture across the platform.\n\nThis is a hands-on role responsible for developing robust services, database interactions, content management workflows, and API endpoints to fulfill key functional and mission requirements. The role includes modernizing legacy back-end components, optimizing system performance, and improving content architecture for efficient access and administration.\n\nKey Responsibilities\n\nDesign and implement data quality, validation, and observability frameworks, including rules, SLAs, and anomaly detection across ingestion and enrichment pipelines\nBuild systems to track and report on data completeness, record counts, and changes over time to ensure integrity and detect unexpected variation\nSupport downstream NLP and analytics pipelines by delivering high-quality, well-structured, and consistently enriched data\nContribute to the modernization of legacy data processing frameworks into reusable, scalable platform components\nDevelop APIs and data integration services to expose and operationalize curated datasets\nDesign and implement data mapping, transformation, and normalization across heterogeneous data sources\nImplement and modernize automated data ingestion frameworks, including batch pipelines and crawler-based ingestion\nMonitor, optimize, and instrument data pipelines for performance, reliability, and transparency\nDesign and maintain data lineage, metadata, and documentation to provide transparency into data coverage, completeness, and flow\nCollaborate with governance and security teams to ensure compliance standards are met and to support ongoing ATO requirements through documentation and system design\n\nMinimum Qualifications\n\nBachelor’s degree in computer science or related discipline, and 5+ years of professional experience in Data Engineering, Analytics Engineering, or Data Architecture\nStrong knowledge of data integration patterns, data lifecycle management, and modern cloud-based data architecture\nExperience designing or implementing data quality frameworks, validation rules, and data observability solutions\nExperience working with large, multi-entity datasets and reconciling data across disparate sources\nAbility to work independently to deliver data solutions while collaborating within a cross-functional engineering team\nStrong hands-on experience with pipeline automation, orchestration, and data framework development\nStrong technical writing and documentation skills with meticulous attention to detail.\nProven ability to communicate requirements effectively to engineers, data scientists, and program leadership\nJava proficiency required\nExperience developing backend data processing systems and working in Linux-based environments; strong proficiency with JSON and API-based data integration\n\nPreferred Qualifications\n\nMasters degree in a related discipline\nFamiliarity with large-scale data platforms, biomedical data, or research-focused systems, including data privacy considerations for sensitive or regulated data\nExperience supporting public-facing federal systems or APIs\nDatabricks familiarity\nOne or more of the following certifications: AWS Certified Data Engineer - Associate, Databricks Certified Data Engineer Associate/Professional\nCloud architecture / DevOps experience or knowledge\n\nAll candidates will be required to undergo a background check, must be authorized to work in the United States, and must be able to obtain and maintain an NIH badge with Public Trust Level Two suitability.\n\nLocation\n\nPreference will be given to candidates within reasonable commuting distance of Bethesda, MD. Candidates outside the greater Washington, D.C. / Maryland / Virginia area may be responsible for their own transportation costs for badging, equipment retrieval, and in-person attendance when required.\n\nSalary and benefits\n\nWe offer a competitive salary and a generous benefits package, including at no cost: full health and dental for you and your dependents, HSA account, 401k, short- and long-term disability insurance, life and accident insurance, paid time off, and 11 federal holidays.\n\nEqual Employment Opportunity Policy\n\nLexical Intelligence, LLC, provides equal employment opportunities to all employees and applicants for employment and prohibits discrimination and harassment of any type without regard to race, color, religion, age, sex, national origin, disability status, genetics, protected veteran status, sexual orientation, gender identity or expression, or any other characteristic protected by federal, state or local laws.\n\nThis policy applies to all terms and conditions of employment, including recruiting, hiring, placement, promotion, termination, layoff, recall, transfer, leaves of absence, compensation and training.","datePosted":"2026-09-24T11:38:34.981Z","dateModified":"2026-09-24T11:38:34.981Z","hiringOrganization":{"@type":"Organization","name":"Lexical Intelligence","sameAs":"https://jobsearcher.com"},"jobLocation":{"@type":"Place","address":{"@type":"PostalAddress","addressLocality":"Bethesda","addressRegion":"MD","addressCountry":"US"}},"identifier":{"@type":"PropertyValue","name":"JobSearcher","value":"16437a90c9f588eca072ae7a"},"url":"https://jobsearcher.com/jobs/16437a90c9f588eca072ae7a"}}