03 Aug
|
TCGplayer
|
Quebec City
03 Aug
TCGplayer
Quebec City
TCGplayer, an eBay company, powers a marketplace for buyers, sellers, hobby shops, and collectors across the trading card community
For many people, TCGplayer is more than a marketplace
It is part of how they discover, enjoy, and stay connected to the hobby they love! The Data Engineering team helps make that experience possible by building the systems, standards, and partnerships that make data easier to trust, easier to work with, and easier to scale across TCGplayer Technology
As a Staff Data Engineer, you will join our Data Engineering team and server as a technical leader, helping shape technical direction across warehouse and application-facing systems
You will work closely with engineering, platform, and analytics teams to strengthen data governance, improve confidence in data-related changes across distributed environments, and guide sound decisions around datastores, data movement, and system design
This is a highly team-oriented Staff Data Engineer role with broad influence across TCGplayer, with the opportunity to raise engineering standards, support long-term platform health, and help teams build with greater clarity and confidence
Serve as a technical leader in data systems, setting direction and raising the bar for engineers through architecture guidance, standards, and hands-on partnership across TCGplayer Technology
Strengthen Snowflake governance, access controls, security, observability, and cost management so warehouse workloads are more reliable, efficient, and easier to scale
Improve how teams validate and test data-related changes across distributed environments,
increasing release confidence in systems that span warehouse, services, and application-facing platforms
Guide datastore and architecture decisions across operational and warehouse systems, helping teams make strong tradeoff decisions based on reliability, scale, maintainability, and product needs
Lead cross-application datastore initiatives, including migrations and platform upgrades, with emphasis on security, governance, and alignment with architecture standards
Partner with application and platform teams to bring greater clarity to data ownership, service boundaries, and data movement across transactional products, microservices, and event-driven systems
Enable teams to move faster by providing guidance on Postgres design, performance, and datastore decisions, increasing consistency and engineering leverage across the organization
Benefits Life Insurance
Family Leave Program
Unlimited Paid Time Off
Free coaching, counseling and mental health services
Merch
Parking Stipend
Fitness Equipment
Medical, Dental & Vision
After-work Activities
Stock Options for all employees
Constant Learning - Monthly classrooms provide a deeper understanding of company operations,
while educational resources help every team member evolve personally and professionally
Game nights complete with card games, board games and video games. (Plus, we have our own Pauper Magic & Pokémon leagues)
A casual dress code
Laptop
Open office with coworking stations for collaboration and quiet rooms for solitude - treadmill desks and yoga balls help you stay active, while a company library, book club and writing group keep your mind inspired
Hackathons
Real-time peer-to-peer feedback tools
Experience guiding datastore and architecture decisions across technologies such as Postgres, MongoDB, Redis, Snowflake, and similar platformsStrong communication and technical judgment, with a track record of influencing across teams and improving reliability, testing, governance, observability, or engineering practices in complex environmentsHands-on experience with Snowflake in production environments, including governance, access controls, security, observability, performance, reliability, and cost management10+ years of experience designing, improving, or supporting production platforms across data warehousing, operational datastores, distributed systems, or data architectureExperience with microservices and event-driven systems (Kafka and Debezium preferred), including retries, idempotency, ordering, and change data captureStrong experience with relational databases, ideally Postgres, including schema design, indexing, query optimization, transactions, scaling, and production troubleshooting
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📌 Staff Data Engineer (Data Systems, TCGplayer) (Quebec City)
🏢 TCGplayer
📍 Quebec City