MTS Software Engineer, Data Platform

eBay; Toronto; On-site; CAD 100,000 - 130,000; Full time

Job summary

A global e-commerce platform in Toronto is seeking a Software Engineer to enhance its Core Data Platform. You will design and implement scalable systems, lead significant projects, and collaborate across teams. The ideal candidate has 8+ years of experience in distributed systems and platforms, proficiency in Java and Python, and is eager to solve challenging problems. This role offers opportunities for growth and a supportive work environment.

Benefits

Flexible work options

Career development resources

Health and wellness benefits

Qualifications

• 8+ years of distributed systems or data platform experience.
• Proven ability to design and deliver critical systems with impact.
• Hands-on expertise in tools like Kafka/Flink, Spark, and Delta/Iceberg.

Responsibilities

• Own and deliver major components of eBay’s Data Platforms.
• Design and evolve distributed systems for ingestion and streaming.
• Collaborate across product and analytics teams.

Skills

distributed systems design

project delivery

system thinking

communication skills

growth mindset

Education

BS/MS in Computer Science or equivalent experience

Tools

Java

Python

Kafka

Spark

Kubernetes

Job description

Job Description

Cloud Data Technologies (CDT) team at eBay is responsible for all the data infrastructure and management of end-to-end data lifecycle for all eBay data from onsite to analytics use cases. We are seeking a Software Engineer passionate about data-driven technologies and architectures.

About the Role

We are seeking MTS Software Engineers to contribute to the design and development of eBay’s Core Data Platform. In this role, you will help build scalable, reliable, and cost-efficient systems that enable users to develop pipelines, manage data, and unlock insights across the company. Your work will play a key part in strengthening the foundation of eBay's data platform infrastructure.

This role is focused on Data Platform Engineering — not data engineering. While familiarity with Spark, Flink, and other tools in the Hadoop ecosystem is valuable, your primary responsibility will be building and evolving the platform itself, not just authoring data pipelines.

If you are an engineer eager to deepen your expertise in distributed data processing and platform development, this team offers the opportunity to learn, contribute, and grow.

What you’ll do and learn

• Own and deliver major components of eBay’s Data Platforms — from design through production rollout.
• Design and evolve distributed systems powering ingestion, streaming, lakehouse/warehouse, catalog, and governance.
• Contribute to long‑term architecture through design reviews and authoring architecture design documents, ensuring scalability and resilience.
• Build systems that balance latency, correctness, and cost while ensuring security and compliance.
• Drive operational excellence for services you own, including observability and incident response.
• Collaborate across product, infra, and analytics teams to align execution with business needs.
• Learn and grow in areas like governance, orchestration, and privacy engineering.

What you bring

• Experience designing large‑scale distributed systems (compute, storage, APIs, streaming).
• Ability to independently deliver complex projects from requirements to production.
• Systems thinker who anticipates bottlenecks, schema evolution, and reliability issues.
• Strong communication skills to influence cross‑team technical outcomes.
• Growth mindset with curiosity to learn new technologies.

What we bring

• Impact at scale: powering global analytics and ML systems.
• Challenging problems: streaming, freshness/correctness, and multi‑cloud resiliency.
• Collaborative culture that values inclusion and knowledge sharing.
• Support & growth: flexibility, benefits, and career development resources.
• Focus on reliability and sustainable on‑call practices.

Qualifications

• 8+ years of distributed systems or data platform experience.
• Proven ability to design and deliver critical systems with impact.
• Proficiency in Java/Python, CI/CD, and containerized environments.
• Hands‑on expertise in tools like Kafka/Flink, Spark, Delta/Iceberg, Kubernetes, NoSQL/columnar stores.
• Experience in streaming and batch data platforms.
• Strong foundation in algorithms and distributed design.
• BS/MS in CS or equivalent experience.

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