{"schemaVersion":"jobsearcher.job.v1","id":"d2640b74d94a3d8bb94117e1","url":"https://jobsearcher.com/jobs/d2640b74d94a3d8bb94117e1","canonicalUrl":"https://jobsearcher.com/jobs/d2640b74d94a3d8bb94117e1","title":"Full-Stack Software Engineer (Data Pipeline Focus)","description":"Description\nIn this role, you'll contribute across the stack: developing ingest pipelines, building scalable REST APIs, and facilitating data exploration and understanding. The platform supports large-scale data ingestion, complex queries, and interactive analysis. While your primary focus will be on the data-pipeline layer, you’ll collaborate closely with other sub-teams to ensure end-to-end functionality and performance. We’re looking for someone excited to work across the system and to improve team processes and tooling, especially for faster integration of new data sources.\nResponsibilities\nLead the design and implementation of data-processing workflows\nManage all aspects of the data-processing lifecycle (collection, discovery, analysis, cleaning, modeling, transformation, enrichment, validation)\nDevelop and maintain data models and JSON Schemas to ensure integrity and consistency\nCollaborate with analysts and engineers to meet data requirements\nManage and optimize data storage/retrieval in Elasticsearch and Dgraph (plus MongoDB and Redis)\nOrchestrate dataflow using Apache NiFi\nMentor teammates on best practices for data processing and software engineering\nUse AI platforms to support hybrid automated/manual data transformation, code generation, and schema management\nWork with analysts, product owners, and engineers to ensure solutions meet operational needs\nPropose and implement process improvements for faster delivery of new data sources\nRequired Skills & Experience\nStrong data-wrangling and dataflow background (discovery, mining, cleaning, exploration, enrichment, validation)\nProficiency in JSON and JSON Schemas (or similar)\nSolid data-modeling experience\nExperience with NoSQL databases (Elasticsearch, MongoDB, Redis, graph DBs)\nFamiliarity with dataflow tools such as Apache NiFi\nExtensive experience in Python or Java (both preferred)\nExperience using generative AI for code and data transformation\nGit for version control; Maven for build automation\nComfortable in a Linux development environment\nFamiliarity with Atlassian tools (Jira, Confluence)\nStrong communication and teamwork skills\nNice to Have\nExperience with various corporate data formats\nKnowledge of Kafka or RabbitMQ\nProficiency in Java/Spring (Boot, MVC/REST, Security, Data)\nAWS (EC2, S3, Lambda) experience\nAPI design for data services\nFrontend experience (modern JS + Vue.js or similar)\nCI/CD (e.g., Jenkins), automated testing (JUnit)\nDocker, Kubernetes, and other containerization tech\nDevOps tools (Packer, Terraform, Ansible)\nQualifications\n12+ years of relevant experience and a B.S. in a technical discipline\n(Four additional years of experience may substitute for a degree)","company":"Neural Solutions","rawCompany":"neural solutions","city":"Fort Meade","state":"MD","isRemote":false,"isActive":false,"createdAt":"2026-07-27T12:39:44.958Z","occupations":[{"code":"15-1252.00","title":"Software Developers","slug":"software-developers"},{"code":"15-1243.01","title":"Data Warehousing Specialists","slug":"data-warehousing-specialists"},{"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 Software Engineer (Data Pipeline Focus)","description":"Description\nIn this role, you'll contribute across the stack: developing ingest pipelines, building scalable REST APIs, and facilitating data exploration and understanding. The platform supports large-scale data ingestion, complex queries, and interactive analysis. While your primary focus will be on the data-pipeline layer, you’ll collaborate closely with other sub-teams to ensure end-to-end functionality and performance. We’re looking for someone excited to work across the system and to improve team processes and tooling, especially for faster integration of new data sources.\nResponsibilities\nLead the design and implementation of data-processing workflows\nManage all aspects of the data-processing lifecycle (collection, discovery, analysis, cleaning, modeling, transformation, enrichment, validation)\nDevelop and maintain data models and JSON Schemas to ensure integrity and consistency\nCollaborate with analysts and engineers to meet data requirements\nManage and optimize data storage/retrieval in Elasticsearch and Dgraph (plus MongoDB and Redis)\nOrchestrate dataflow using Apache NiFi\nMentor teammates on best practices for data processing and software engineering\nUse AI platforms to support hybrid automated/manual data transformation, code generation, and schema management\nWork with analysts, product owners, and engineers to ensure solutions meet operational needs\nPropose and implement process improvements for faster delivery of new data sources\nRequired Skills & Experience\nStrong data-wrangling and dataflow background (discovery, mining, cleaning, exploration, enrichment, validation)\nProficiency in JSON and JSON Schemas (or similar)\nSolid data-modeling experience\nExperience with NoSQL databases (Elasticsearch, MongoDB, Redis, graph DBs)\nFamiliarity with dataflow tools such as Apache NiFi\nExtensive experience in Python or Java (both preferred)\nExperience using generative AI for code and data transformation\nGit for version control; Maven for build automation\nComfortable in a Linux development environment\nFamiliarity with Atlassian tools (Jira, Confluence)\nStrong communication and teamwork skills\nNice to Have\nExperience with various corporate data formats\nKnowledge of Kafka or RabbitMQ\nProficiency in Java/Spring (Boot, MVC/REST, Security, Data)\nAWS (EC2, S3, Lambda) experience\nAPI design for data services\nFrontend experience (modern JS + Vue.js or similar)\nCI/CD (e.g., Jenkins), automated testing (JUnit)\nDocker, Kubernetes, and other containerization tech\nDevOps tools (Packer, Terraform, Ansible)\nQualifications\n12+ years of relevant experience and a B.S. in a technical discipline\n(Four additional years of experience may substitute for a degree)","datePosted":"2026-07-27T12:39:44.958Z","dateModified":"2026-07-27T12:39:44.958Z","hiringOrganization":{"@type":"Organization","name":"Neural Solutions","sameAs":"https://jobsearcher.com"},"jobLocation":{"@type":"Place","address":{"@type":"PostalAddress","addressLocality":"Fort Meade","addressRegion":"MD","addressCountry":"US"}},"identifier":{"@type":"PropertyValue","name":"JobSearcher","value":"d2640b74d94a3d8bb94117e1"},"url":"https://jobsearcher.com/jobs/d2640b74d94a3d8bb94117e1"}}