YCharts

Data Engineer

• Work with technologies that ensure our data pipeline efficiently maintains and calculates data for the 7 million+ securities in our universe.
• Work on features that ensure financial data is consistent, reliable, timely and accurate by importing data from third party data providers and performing custom calculations on this imported data, with day-to-day emphasis on database load management, caching strategies, memory efficiency, and query optimization.
• Write code (and unit tests!) in Python and the Django framework to implement complex backend features.
• Use tools like Airflow to build / enhance financial data pipelines for over 7 million securities.
• Make use of pandas and asynchronous task tools like celery to efficiently calculate 4,000+ unique data points for each security.
• Profile and optimize database queries — analyze query plans, design effective indexes, and eliminate N+1s and slow paths that don't hold up under production load.
• Manage database load — reason about read/write patterns, connection usage, replica strategy, and batching to keep the data tier healthy as volume grows.
• Design and tune caching layers to reduce redundant computation and database pressure while keeping data fresh and correct.
• Design robust, scalable data models that account for the structure, type, and volume of data to store, and how it will be queried.
• Investigate and resolve performance regressions and incidents — using metrics, profiling, and monitoring to find root causes.
• Design, plan, estimate, and ticket features that are scoped by our product team.
• Perform code reviews for other engineers on the team.
• Document the work you have done both in repo as well as outside of the repo for future engineers.
• Collaborate with other engineers both verbally and in writing to plan, design, and build a world-class financial research platform.

Software Engineer, Data

Account Executive

• Own a strategic territory of enterprise accounts: current clients with expansion potential and key targets with no prior relationship.
• Collaborate with an Enterprise SDR to run coordinated outbound campaigns.
• Proactively travel to deepen relationships, attend industry events, and get in the room with stakeholders.
• Maintain accurate pipeline forecasts and report regularly to the VP of Enterprise Sales.
• Drive the full enterprise sales cycle: Build and execute a multi-threaded engagement strategy across roles (users, influencers, decision makers, executives).
• Secure executive-level engagement and navigate complex org structures.
• Tailor messaging and demos to diverse personas—CIOs, advisors, operations leaders, etc.
• Lead deals across internal buying committees including IT, compliance, and legal.
• Craft and deliver custom ROI-based proposals aligned with strategic priorities.
• Manage longer, multi-stage sales cycles involving pilots, proof-of-concept phases, and procurement steps.
• Anticipate and address common enterprise objections (integration, cost, procurement).

Software Engineer, Data

Enterprise Account Executive