Vivid Seats-posted 3 months ago
$135,000 - $165,000/Yr
Full-time • Senior
Hybrid • Chicago, IL
501-1,000 employees
Administrative and Support Services

As a Senior Data Engineer at Vivid Seats, you'll have the opportunity to shape how millions of fans experience live events. You'll take ownership of designing and building high-impact data solutions that power everything from real-time ticket transactions to advanced analytics that guide business decisions. In this role, you'll drive innovation by creating scalable data pipelines and integration flows that directly influence product features and customer experiences. You'll work hands-on with modern cloud technologies in AWS and explore emerging tools in AI, ML, and LLMs - giving you the space to expand your technical expertise while solving meaningful problems that shape seamless, end-to-end customer experiences, from browsing events to receiving tickets at the box office.

  • Design and build scalable data systems and automated processes that power our cloud infrastructure and deployment pipelines.
  • Collaborate across engineering teams to deliver scalable data integrations and transformation pipelines while shaping the underlying data architecture for transactional and analytical use cases.
  • Enable AI and ML initiatives by designing and maintaining data pipelines and architectures that support predictive models and automation in Marketing, Pricing, and Customer Service.
  • Elevate platform stability by driving best practices, automation, and monitoring across the data ecosystem.
  • Stay ahead of emerging technologies and integrate valuable concepts to continuously enhance our data architecture and capabilities.
  • Mentor and support teammates, helping them stay unblocked, productive, and challenged to grow.
  • Champion engineering best practices, fostering a culture of quality, collaboration, and continuous improvement.
  • Collaborate with leadership and cross-functional partners to set realistic delivery expectations, navigate trade-offs, and solve complex technical challenges.
  • 7+ years of professional experience in data engineering, analytics, or data Science development, with a proven track record of designing and delivering large-scale data systems.
  • Deep expertise in cloud-based relational databases, such as Aurora RDS(MySQL), for transactional systems.
  • Experience with cloud-based analytical databases, such as Snowflake, BigQuery, or Redshift, for advanced analytics.
  • Hands-on experience with ETL pipelines, workflow orchestration (e.g., Airflow), and scripting using Python, Java, or Bash.
  • Experience with AI/ML workflows using Python and libraries such as Pandas, NumPy, and Scikit-learn, particularly with AWS SageMaker.
  • Experience conducting vendor evaluations and assessing emerging technologies, such as vector databases and in-memory document/object databases.
  • Collaborative mindset with a passion for mentoring and helping teammates grow, while effectively communicating across technical and business stakeholders.
  • Familiarity with Snowflake Intelligence, Cortex AI, or AI/ML integrations is a plus.
  • Familiarity with data science concepts is a plus.
  • Annual bonus incentives and equity for all employees
  • FLEX PTO
  • Mental health days
  • Medical, dental, and vision insurance
  • 401K matching
  • Monthly credits and discounts for attending live events
  • A variety of additional workplace perks
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