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StubHub

Senior Data Engineer

Los Angeles, CA Remote Hybrid
USD 200k - 300k
Java SQL Streaming Spark Kafka Swift Machine Learning Python
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Description
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 closely with stakeholders on our Customer Acquisition team. 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. 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 developing the core infrastructure for the data lake and data warehouse, creating foundational data models and data pipelines, and building shared tooling to ease the process of creating high-quality, trustworthy data assets.  
  
As a Senior Data Engineer, 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.  

This role will be based out of our Los Angeles, CA, office and has a hybrid (3 in-person days per week) work schedule.

What You've Done

  • 5+ years of relevant data engineering experiencein fast paced environments 
  • Expertisewith one or more programming languages (Python, Java, etc.) 
  • Very high SQL proficiency, with experience in both transactional RDBMS systems and OLAP databases 
  • Experience designing and developing large-scale, efficient batch and streaming data processing pipelines, with well modeled data for easy consumption 
  • Knowledgeof data pipeline management and orchestration tools, such as Airflow 
  • 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  

  • A plus if you have experience with:
  • Data transformation frameworks, such as dbt 
  • Batch processing systems, such as Spark 
  • Data pipeline management and orchestration tools, such as Airflow 
  • Cloud-based data warehousing solutions, such as Snowflake, BigQuery, and Redshift 
  • Streaming or event-driven workflows, such as Kafka and Flink 

What You'll Do

  • Partner deeply with the Customer Acquisition team to deeply understand their domain, data, and challenges 
  • 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  

What We Offer

  • 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.
  • Perks for Your Palate: Delight in the workplace perks, including free weekly lunches, a diverse selection of office snacks, and the convenience of cold-brew and kombucha kegs.
  • Team-Building Events: Engage in vibrant team events that foster camaraderie and collaboration, creating an atmosphere where your professional and personal growth are celebrated.
The anticipated gross annual base salary range for this role is $200,000 – $300,000 per year. Actual compensation will vary depending on factors such as a candidate’s qualifications, skills, experience, and competencies. Base annual salary is one component of StubHub’s total compensation and competitive benefits package, which also includes equity, 401(k), paid time off, paid parental leave, and comprehensive health benefits.

California Job Applicant Privacy Notice found here

About Us 
StubHub is the world’s leading marketplace to buy and sell tickets to any live event, anywhere. Through StubHub in North America and viagogo, our international platform, we service customers in 195 countries in 33 languages and 49 available currencies. With more than 300 million tickets available annually on our platform to events around the world -- from sports to music, comedy to dance, festivals to theater -- StubHub offers the safest, most convenient way to buy or sell tickets to the most memorable live experiences. Come join our team for a front-row seat to the action. 

We are an equal opportunity employer and value diversity on our team. We do not discriminate on the basis of race, color, religion, sex, national origin, gender, sexual orientation, age, disability, veteran status, or any other legally protected status.
StubHub
StubHub
E-Commerce Marketplace Ticketing

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