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Salary: USD 225,000 - 250,000 / annual
StubHub is seeking a Senior Data Engineer to drive architectural decisions and establish standards for scalable data infrastructure, pipeline frameworks, and data management practices across the organization. You will influence key infrastructure and framework choices for data pipelining, build and deploy core cross-functional data models, and manage individual initiatives by setting priorities, deadlines, and deliverables based on your technical expertise.
Key responsibilities include:
- Design and develop large-scale, efficient batch and streaming data processing workflows
- Design, build, and maintain scalable ingestion pipelines for financial and transactional data from third-party payment processors, banking partners, and external APIs while ensuring data quality, reliability, and compliance with security and governance standards
- Analyze and reason about large datasets to identify data quality issues and extract contextual insights
- Utilize advanced SQL proficiency to work with both OLAP/OLTP databases
- Work with orchestrator tools such as Airflow or Dagster and data transformation frameworks like dbt or SQLMesh
- Mentor team members and help foster a culture of innovation, accountability, and engineering excellence
- Collaborate with non-technical stakeholders to understand, anticipate, and deliver on their data needs
The role is based in New York, NY at 175 Greenwich Street, Floor 59. Telecommuting is permitted up to 2 days per week.
REQUIREMENTS:
- Bachelor's degree or U.S. equivalent in Mathematics, Quantitative Economics, Statistics, Computer Science, or related field
- 6 years of professional experience as a Data Scientist, Data Engineer, or in any occupation integrating, processing, and reconciling transactional data
- 6 years of professional experience developing scalable data pipelines with robust quality assurance (QA), monitoring, and alerting mechanisms
- 6 years of professional experience analyzing and reasoning about large datasets to identify data quality issues, troubleshoot anomalies, and generate actionable insights
- 5 years of professional experience performing advanced SQL programming across OLAP and OLTP databases, including designing, optimizing, and troubleshooting complex queries and data models
- 4 years of professional experience utilizing programming languages including Python to build scalable data pipelines, processing frameworks, and data-driven applications
- 4 years of professional experience utilizing modern data stack technologies and cloud data platforms (including Snowflake)
- 4 years of professional experience working with data orchestration tools (including Airflow) and data transformation frameworks (including dbt)
- 4 years of professional experience designing, building, and operating large-scale, efficient batch and streaming data processing systems
- 1 year of professional experience working with ERP (Enterprise Resource Planning) systems including NetSuite and Oracle ERP
