Key Responsibilities Platform & Data Engineering - Design, 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 & 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, root-cause identification, and long-term 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 cross-functional communication
- Accountability and ownership of outcomes
- Attention to detail and quality
- Ethical responsibility and data stewardship
- Adaptability in a changing technology landscape
Role-Based Technical Skills - Cloud 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 pipelines
Role-Based Technical Skills - Future (Desirable) - AI-enabled and ML-adjacent data platform patterns
- Automated data quality and intelligent observability
- Event-driven and streaming architectures
- Advanced data governance and lineage automation
Senior-Level 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 long-term platform evolution with short-term delivery needs.
Working Knowledge (Required) - Full-stack 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 .
Who we are: At Pearson, our purpose is simple: to help people realize the life they imagine through learning. We believe that every learning opportunity is a chance for a personal breakthrough. We are the world's lifelong learning company. For us, learning isn't just what we do. It's who we are. To learn more: We are Pearson.
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
Job: Engineering
Job Family: TECHNOLOGY
Organization: Higher Education
Schedule: FULL_TIME
Workplace Type: Hybrid
Req ID: 24110
Never miss an opportunity! Create an alert based on the job you applied for.