Staff Data Eng, Data Systems, TCGplayer

At eBay, we're more than a global ecommerce leader — we’re changing the way the world shops and sells. Our platform empowers millions of buyers and sellers in more than 190 markets around the world. We’re committed to pushing boundaries and leaving our mark as we reinvent the future of ecommerce for enthusiasts. Our customers are our compass, authenticity thrives, bold ideas are welcome, and everyone can bring their unique selves to work — every day. We're in this together, sustaining the future of our customers, our company, and our planet. Join a team of passionate thinkers, innovators, and dreamers — and help us connect people and build communities to create economic opportunity for all. About the team and the role: The Data Engineering team collaborates across the TCGplayer Technology organization to define appropriate datastore infrastructure, create efficient and scalable database and data flow designs, and resolve scaling or performance challenges as they arise. The team supports effective datastore usage in aspects such as data architecture, data governance, data lifecycle management, software currency, and security. As a member of this team, you will partner with other technical leaders to set the direction for our evolving data estate and be a leader in our quest to continually improve the reliability, scalability, and efficiency of the systems which drive the company’s business. Taking on the role of a staff-level team member at TCGplayer requires applying your vast knowledge, technical proficiency, and teamwork to support key projects and the vision and success of the organization. What you will accomplish: Function as a technical leader and advisor within the data technology field at TCGplayer, nurturing the growth and progress of both the company and individual engineers Provide technical expertise and insight as you work with other teams to develop data flow strategies and define storage needs for microservices, ensuring scalability, reliability, and alignment with system architecture Manage cross-application projects for datastores, emphasizing security, software currency, data governance, and platform migrations Research emerging capabilities in both the datastores used by the organization and the broader marketplace to inform long-term strategic planning in the data domain Consult on database design for the structures within an application’s datastores and queries/aggregations against those structures, optimizing for performance and scalability Write minimal yet effective code, primarily database queries to facilitate data management and manipulation and proof-of-concepts for suggested techniques Guide selection of appropriate datastore technologies for new and re-platformed apps, focusing on transactional microservices and event-driven systems to meet current and future data needs What you will bring: Strong written and verbal communication skills, with a track record of influencing technical decisions and working cross-functionally across engineering teams, technical leaders, and partner functions 10+ years of experience designing datastores, data architectures, and data flows for scalable, reliable, and efficient production systems Strong experience building and evolving datastores for microservices and event-driven applications (Kafka preferred) Deep expertise with relational/transactional databases in production (Postgres preferred), including schema design, indexing, query optimization, execution plans, partitioning, and performance tuning Strong understanding of operational/OLTP systems, including how to troubleshoot bottlenecks and support systems that require high availability, reliability, and performance under load Ability to define data ownership, service boundaries, and access patterns in microservices-based architecture Experience working across multiple data technologies, including relational databases (Postgres preferred), document databases (MongoDB preferred), caching technologies (Redis preferred), and analytics platforms (Snowflake preferred) Strong understanding of where different data technologies are most effective and how to make tradeoff decisions based on product, system, and scaling needs Experience supporting data governance, lifecycle management, software currency, and operational standards within medium-to-large organizations Bachelor’s degree in Computer Science, Information Technology, or a related field, or an equivalent combination of education and experience Additional Details The base pay range for this position is expected in the range below: $136,000 - $228,600 Base pay offered may vary depending on multiple individualized factors, including location, skills, and experience. The total compensation package for this position may also include other elements, including a target bonus and restricted stock units (as applicable) in addition to a full range of medical, financial, and/or other benefits (including 401(k) eligibility and various paid time off benefits, such as PTO and parental leave). Details of participation in these benefit plans will be provided if an employee receives an offer of employment. If hired, employees will be in an “at-will position” and the Company reserves the right to modify base salary (as well as any other discretionary payment or compensation program) at any time, including for reasons related to individual performance, Company or individual department/team performance, and market factors. Remote roles are not eligible for U.S. visa sponsorship. eBay is an equal opportunity employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, national origin, sex, sexual orientation, gender identity, veteran status, and disability, or other legally protected status. If you have a need that requires accommodation, please contact us at [email protected]. We will make every effort to respond to your request for accommodation as soon as possible. View our accessibility statement to learn more about eBay's commitment to ensuring digital accessibility for people with disabilities. It is unlawful in Massachusetts to require or administer a lie detector test as a condition of employment or continued employment. An employer who violates this law shall be subject to criminal penalties and civil liability. We use cookies to enhance your experience and may use AI tools for administrative tasks in the hiring process. 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