Data Engineer II

StubHub•New York, NY

12d

About The Position

StubHub is on a mission to redefine the live event experience on a global scale. Whether someone is looking to attend their first event or their hundredth, we’re here to delight them all the way from the moment they start looking for a ticket until they step through the gate. The same goes for our sellers. From fans selling a single ticket to the promoters of a worldwide stadium tour, we want StubHub to be the safest, most convenient way to offer a ticket to the millions of fans who browse our platform around the world. We are seeking talented data engineers to join StubHub’s Data Engineering team and work specifically with our Financial Tech teams. In this role you will be responsible for designing and building the underlying systems and pipelines for centralizing StubHub’s internal plus third-party data for all things finance and accounting. Our team's goal is to empower organizations across the company to transform data for analysis and reporting, new product development, experimentation, and machine learning. This includes creating foundational data models and data pipelines, building shared tooling to interface with high-quality, trustworthy data assets As a Data Engineer II, you will build core data models and pipelines that facilitate our organization’s growth. You will also play a key role in defining the culture and expectations of what great data engineering looks like. We are looking for the right person that is passionate about the power of data in informing business decisions that aid the hypergrowth happening at StubHub.

Requirements

3+ years of relevant data engineering experience in fast paced environments
Very high SQL proficiency, with experience in both OLAP databases and transactional RDBMS systems and experience with one or more programming languages (Python, Java, etc.)
Experience designing and developing large-scale, efficient batch and streaming data processing
Ability to analyze and reason about large datasets to identify data quality issues and other contextual insights
Passionate about working with non-technical stakeholders to understand, anticipate, and deliver on their data needs.
Experiencing working with an orchestrator tool like Airflow or Dagster along with data transformation frameworks like dbt or SQLMesh.

Nice To Haves

Streaming or event-driven workflows, such as Kafka and Flink
Working with financial and/or accounting teams.
Experience with ERP (Enterprise Resource Planning) systems like Netsuite, SAP, Oracle ERP.

Responsibilities

Build and operate scalable data pipelines with robust QA, monitoring, and alerting
Influence the direction for key infrastructure and framework choices for data pipelining and data management
Build and deploy core cross-functional data models
Manage individual initiatives—setting priorities, deadlines, and deliverables based on your technical expertise
Foster a culture of inclusion, results-oriented execution, open innovation, and limitless creativity in your team

Benefits

Accelerated Growth Environment: Immerse yourself in an environment designed for swift skill and knowledge enhancement, where you have the autonomy to lead experiments and tests on a massive scale.
Top Tier Compensation Package: Enjoy a rewarding compensation package that includes enticing stock incentives, aligning with our commitment to recognizing and valuing your contributions.
Flexible Time Off: Embrace a healthy work-life balance with unlimited Flex Time Off, providing you the flexibility to manage your schedule and recharge as needed.
Comprehensive Benefits Package: Prioritize your well-being with a comprehensive benefits package, featuring 401k, and premium Health, Vision, and Dental Insurance options.

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