Senior Software Engineer

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., + 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.

• 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

The full-time salary range for this position is between $120,000 - $140,000

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.