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Left Lane Data Engineer

Left Lane Capital
Left Lane Capital
Employment Types:
Full-time
Locations:
New York, NY, USA
Posted on:
06/29/2022

Left Lane Capital is a global venture capital firm focused on high growth consumer tech and internet companies. We lead or co-lead Series A-C deals with checks from $5-75M and recently raised a $1.4B Fund 2.

Across our network and portfolio, our mission is to help support and scale category-defining companies that support long-term customer relationships. Current investments include Jackpocket, Masterworks, Choco, GoStudent, M1 Finance, Blank Street, FightCamp, Wayflyer, Tapcart, and more.

We are looking to add a Data Engineer to the team. This person will bring technical skillsets (dataset analysis, API development, quantitative finance experience, etc.) to the team and help build out tooling, data analysis, dataset origination, and other development workflows within the firm. The role is New York based.

Please visit jobs.leftlanecap.com to view more information and please email jobs@leftlanecap.comwith your profile and the following materials:

  • Email subject: Left Lane Data Engineer [YOUR NAME]
  • Resume / CV
  • Portfolio of work including past projects and applicable work showcasing technical skillset
  • Example of datasets you would leverage to surface investment opportunities for Left Lane

Roles and Responsibilities

  • Build out automated sourcing tooling by leveraging public and proprietary datasets and their APIs (website traffic, app traffic, government data, and other structured / unstructured datasets) in order to surface high-growth investment opportunities
  • Build tools to better understand markets, competitors, and growth across companies and industries
  • Help investment team on large dataset analysis as part of the Left Lane investment diligence process
  • Build data analysis toolsets within the Left Lane workflow environments by leveraging existing analytics tools (Alteryx, Tableau, etc) or creating your own with R, Python, SQL, etc.
  • Create internal workflow automation and tooling for driving further efficiency within the firm across sourcing, diligence, and portfolio monitoring processes
  • Research and test new data sources for the fund to utilize across sourcing, data analysis, and market research (data providers, survey providers, expert networks, etc.)

Qualifications

  • 2-4+ years of technical experience (professional or academic) in a high-growth, fast paced environment including quantitative finance, product management, business intelligence, etc.
  • Expertise in large dataset analysis of hundreds of millions to billions of structured and unstructured datapoints
  • Experience with Snowflake or other large data warehousing platforms and ability to create data infrastructure & workflows
  • Experience with working with various APIs (REST, SOAP, etc.) such as SimilarWeb, Apptopia, Yodlee, Second Measure, etc.
  • Experience with building automation tooling for repetitive workflows within organizations including data ingestion, data aggregation / benchmarking, data presentation, etc.
  • Individual drive to build and own projects, workflows, and assets within an organization
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