Pearson
Senior Software Engineer (Data, API & Platform Integration)
Edtech.com's Summary
- Design, develop, and maintain cloud-native data pipelines and platforms supporting PLS and IAR use cases.
- Own end-to-end data workflows including ingestion, transformation, storage, and serving layers.
- Ensure data pipeline reliability, quality, observability, and adherence to security and privacy standards.
- Collaborate with product managers, data scientists, and engineers to align data solutions with business goals.
- Provide technical mentorship and contribute to architectural decisions and platform modernization.
- Required technical skills include Java, Python, AWS cloud services, and working knowledge of DynamoDB, Aurora DB, MongoDB, RDBMS.
- Experience with CI/CD practices, infrastructure-as-code, and data pipeline automation is essential.
- Senior-level responsibilities include operating independently with complex data problems and influencing architectural decisions without direct people management.
- Minimum full-time salary range: $120,000 - $140,000 with eligibility for annual incentives.
- Preferred candidates are local to Hoboken, NJ; role supports hybrid workplace type.
Senior Software Engineer (Data, API & Platform Integration) Full Description
Senior Data Engineer (API & Platform Integration)
Key Responsibilities
Platform & Data Engineering
Design, build, and maintain cloudânative data pipelines and platforms supporting PLS and IAR use cases (e.g., learner activity, assessments, recommendations, analytics).
Own endâtoâend data workflows across ingestion, transformation, storage, and serving layers.
Develop scalable batch and streaming pipelines that meet performance, reliability, and dataâquality expectations.
Contribute to data modeling standards that support downstream analytics, ML, and reporting needs.
Reliability, Quality & Security
Ensure 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, rootâcause identification, and longâterm remediation.
Collaboration & Leadership
Collaborate 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 Improvement
Drive 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 & Proficiencies
Pearson Power Skills (Core)
Collaboration and crossâfunctional communication
Accountability and ownership of outcomes
Attention to detail and quality
Ethical responsibility and data stewardship
Adaptability in a changing technology landscape
RoleâBased Technical Skills
Cloud Computing: Designing and operating data platforms in cloud environments (e.g., AWSâbased 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, infrastructureâasâcode, and automated deployment of data pipelines.
Observability: Monitoring, logging, and alerting for data systems and pipelines
RoleâBased Technical Skills - Future (Desirable)
AIâenabled and MLâadjacent data platform patterns
Automated data quality and intelligent observability
Eventâdriven and streaming architectures
Advanced data governance and lineage automation
SeniorâLevel Expectations
Operates 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 longâterm platform evolution with shortâterm delivery needs.
Working Knowledge (Required)
Fullâstack development concepts , including integration with Web APIs
Programming languages: Java, Python
AWS cloud services used for data platforms
Datastores: DynamoDB, Aurora DB, MongoDB, RDBMS
CI/CD and operational practices supporting data platforms
Candidates 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 minimum full-time salary range is between $120,000 - $140,000
This position is eligible to participate in an annual incentive program, and information on benefits offered is here .
Pearson is an Equal Opportunity Employer and a member of E-Verify. Employment decisions are based on qualifications, merit and business need. Qualified applicants will receive consideration for employment without regard to race, ethnicity, color, religion, sex, sexual orientation, gender identity, gender expression, age, national origin, protected veteran status, disability status or any other group protected by law. We actively seek qualified candidates who are protected veterans and individuals with disabilities as defined under VEVRAA and Section 503 of the Rehabilitation Act.
If you are an individual with a disability and are unable or limited in your ability to use or access our career site as a result of your disability, you may request reasonable accommodations by emailing TalentExperienceGlobalTeam@grp.pearson.com.
Job: Engineering
Job Family: TECHNOLOGY
