{"schemaVersion":"jobsearcher.job.v1","id":"8cf5ba355b67e3e4a9079f55","url":"https://jobsearcher.com/jobs/8cf5ba355b67e3e4a9079f55","canonicalUrl":"https://jobsearcher.com/jobs/8cf5ba355b67e3e4a9079f55","title":"Senior Software Engineer (Data, API & Platform Integration)","description":"Senior Data Engineer (API & Platform Integration)Key ResponsibilitiesPlatform & Data EngineeringDesign, build, and maintain cloud-native data pipelines and platforms supporting PLS and IAR use cases (e.g., learner activity, assessments, recommendations, analytics).Own end-to-end data workflows across ingestion, transformation, storage, and serving layers.Develop scalable batch and streaming pipelines that meet performance, reliability, and data-quality expectations.Contribute to data modeling standards that support downstream analytics, ML, and reporting needs.Reliability, Quality & SecurityEnsure data quality, observability, and pipeline reliability through monitoring, automated validation, and alerting.Apply Pearson's data security, privacy, and retention standards in all platform designs.Support production incident analysis, root-cause identification, and long-term remediation.Collaboration & LeadershipCollaborate with product managers, analytics engineers, data scientists, and platform teams to align data solutions to business goals.Act as a technical mentor for junior engineers, setting best practices for data engineering and platform development.Provide technical input into architectural decisions, roadmap planning, and platform modernization initiatives.Continuous ImprovementDrive continuous improvement in tooling, frameworks, and engineering practices within the PLS / IAR data platform.Evaluate emerging technologies and patterns to evolve Pearson's data ecosystem responsibly.Required Skills & ProficienciesPearson Power Skills (Core)Collaboration and cross-functional communicationAccountability and ownership of outcomesAttention to detail and qualityEthical responsibility and data stewardshipAdaptability in a changing technology landscapeRole-Based Technical SkillsCloud Computing: Designing and operating data platforms in cloud environments (e.g., AWS-based data services).Data Engineering: Building ETL/ELT pipelines, orchestration workflows, and data models at scale.Data Security: Implementing secure data access, encryption, and governance controls.Software Engineering: Writing maintainable, testable code using modern engineering practices.DevOps / DataOps: CI/CD, infrastructure-as-code, and automated deployment of data pipelines.Observability: Monitoring, logging, and alerting for data systems and pipelinesRole-Based Technical Skills – Future (Desirable)AI-enabled and ML-adjacent data platform patternsAutomated data quality and intelligent observabilityEvent-driven and streaming architecturesAdvanced data governance and lineage automationSenior-Level ExpectationsOperates independently on complex, ambiguous data problems.Influences platform and architectural decisions beyond immediate team scope.Provides technical leadership and guidance without direct people management.Balances long-term platform evolution with short-term delivery needs.Working Knowledge (Required)Full-stack development concepts, including integration with Web APIsProgramming languages: Java, PythonAWS cloud services used for data platformsDatastores: DynamoDB, Aurora DB, MongoDB, RDBMSCI/CD and operational practices supporting data platformsCandidates local to Hoboken, NJ are highly preferred.Applications will be accepted through May 21. This window may be extended depending on business needs.Compensation at Pearson is influenced by a wide array of factors including but not limited to skill set, level of experience, and specific location. As required by the California, Colorado, Hawaii, Illinois, Maryland, Minnesota, New Jersey, New York State, New York City, Vermont, Washington State, and Washington DC laws, the pay range for this position is as follows:The full-time salary range for this position is between $120,000 - $140,000This position is eligible to participate in an annual incentive program, and information on benefits offered is here.","company":"Pearson Education Services","rawCompany":"pearson education services","city":"Oak Ridge","state":"NJ","isRemote":false,"isActive":false,"createdAt":"2026-06-26T02:32:36.878Z","occupations":[{"code":"15-1252.00","title":"Software Developers","slug":"software-developers"},{"code":"15-1299.08","title":"Computer Systems Engineers/Architects","slug":"computer-systems-engineers-architects"},{"code":"15-1243.01","title":"Data Warehousing Specialists","slug":"data-warehousing-specialists"}],"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":"Senior Software Engineer (Data, API & Platform Integration)","description":"Senior Data Engineer (API & Platform Integration)Key ResponsibilitiesPlatform & Data EngineeringDesign, build, and maintain cloud-native data pipelines and platforms supporting PLS and IAR use cases (e.g., learner activity, assessments, recommendations, analytics).Own end-to-end data workflows across ingestion, transformation, storage, and serving layers.Develop scalable batch and streaming pipelines that meet performance, reliability, and data-quality expectations.Contribute to data modeling standards that support downstream analytics, ML, and reporting needs.Reliability, Quality & SecurityEnsure data quality, observability, and pipeline reliability through monitoring, automated validation, and alerting.Apply Pearson's data security, privacy, and retention standards in all platform designs.Support production incident analysis, root-cause identification, and long-term remediation.Collaboration & LeadershipCollaborate with product managers, analytics engineers, data scientists, and platform teams to align data solutions to business goals.Act as a technical mentor for junior engineers, setting best practices for data engineering and platform development.Provide technical input into architectural decisions, roadmap planning, and platform modernization initiatives.Continuous ImprovementDrive continuous improvement in tooling, frameworks, and engineering practices within the PLS / IAR data platform.Evaluate emerging technologies and patterns to evolve Pearson's data ecosystem responsibly.Required Skills & ProficienciesPearson Power Skills (Core)Collaboration and cross-functional communicationAccountability and ownership of outcomesAttention to detail and qualityEthical responsibility and data stewardshipAdaptability in a changing technology landscapeRole-Based Technical SkillsCloud Computing: Designing and operating data platforms in cloud environments (e.g., AWS-based data services).Data Engineering: Building ETL/ELT pipelines, orchestration workflows, and data models at scale.Data Security: Implementing secure data access, encryption, and governance controls.Software Engineering: Writing maintainable, testable code using modern engineering practices.DevOps / DataOps: CI/CD, infrastructure-as-code, and automated deployment of data pipelines.Observability: Monitoring, logging, and alerting for data systems and pipelinesRole-Based Technical Skills – Future (Desirable)AI-enabled and ML-adjacent data platform patternsAutomated data quality and intelligent observabilityEvent-driven and streaming architecturesAdvanced data governance and lineage automationSenior-Level ExpectationsOperates independently on complex, ambiguous data problems.Influences platform and architectural decisions beyond immediate team scope.Provides technical leadership and guidance without direct people management.Balances long-term platform evolution with short-term delivery needs.Working Knowledge (Required)Full-stack development concepts, including integration with Web APIsProgramming languages: Java, PythonAWS cloud services used for data platformsDatastores: DynamoDB, Aurora DB, MongoDB, RDBMSCI/CD and operational practices supporting data platformsCandidates local to Hoboken, NJ are highly preferred.Applications will be accepted through May 21. This window may be extended depending on business needs.Compensation at Pearson is influenced by a wide array of factors including but not limited to skill set, level of experience, and specific location. As required by the California, Colorado, Hawaii, Illinois, Maryland, Minnesota, New Jersey, New York State, New York City, Vermont, Washington State, and Washington DC laws, the pay range for this position is as follows:The full-time salary range for this position is between $120,000 - $140,000This position is eligible to participate in an annual incentive program, and information on benefits offered is here.","datePosted":"2026-06-26T02:32:36.878Z","dateModified":"2026-06-26T02:32:36.878Z","hiringOrganization":{"@type":"Organization","name":"Pearson Education Services","sameAs":"https://jobsearcher.com"},"jobLocation":{"@type":"Place","address":{"@type":"PostalAddress","addressLocality":"Oak Ridge","addressRegion":"NJ","addressCountry":"US"}},"identifier":{"@type":"PropertyValue","name":"JobSearcher","value":"8cf5ba355b67e3e4a9079f55"},"url":"https://jobsearcher.com/jobs/8cf5ba355b67e3e4a9079f55"}}