Data Engineer​/Backend Developer

Data Engineer / Backend Developer

Lexical 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.

Lexical 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.

This 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.

This 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.

• Design and implement data quality, validation, and observability frameworks, including rules, SLAs, and anomaly detection across ingestion and enrichment pipelines
• Build systems to track and report on data completeness, record counts, and changes over time to ensure integrity and detect unexpected variation
• Support downstream NLP and analytics pipelines by delivering high-quality, well-structured, and consistently enriched data
• Contribute to the modernization of legacy data processing frameworks into reusable, scalable platform components
• Develop APIs and data integration services to expose and operationalize curated datasets
• Design and implement data mapping, transformation, and normalization across heterogeneous data sources
• Implement and modernize automated data ingestion frameworks, including batch pipelines and crawler-based ingestion
• Monitor, optimize, and instrument data pipelines for performance, reliability, and transparency
• Design and maintain data lineage, metadata, and documentation to provide transparency into data coverage, completeness, and flow
• Collaborate with governance and security teams to ensure compliance standards are met and to support ongoing ATO requirements through documentation and system design

• Bachelor’s degree in computer science or related discipline, and 5+ years of professional experience in Data Engineering, Analytics Engineering, or Data Architecture
• Strong knowledge of data integration patterns, data lifecycle management, and modern cloud-based data architecture
• Experience designing or implementing data quality frameworks, validation rules, and data observability solutions
• Experience working with large, multi-entity datasets and reconciling data across disparate sources
• Ability to work independently to deliver data solutions while collaborating within a cross-functional engineering team
• Strong hands-on experience with pipeline automation, orchestration, and data framework development
• Strong technical writing and documentation skills with meticulous attention to detail.
• Proven ability to communicate requirements effectively to engineers, data scientists, and program leadership
• Java proficiency required
• Experience developing backend data processing systems and working in Linux-based environments; strong proficiency with JSON and API-based data integration

• Masters degree in a related discipline
• Familiarity with large-scale data platforms, biomedical data, or research-focused systems,…