Secoda

The second brain for your data team

Technical Support Engineer at Secoda

Location
Toronto, Ontario
Job Type
Full-time
Experience
Any (new grads ok)
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Andrew McEwen
Andrew McEwen
Founder

About the role

Skills & Experience

  • 1 years of working as a software engineer
  • Willingness to talk to and work closely with our customers to solve their unique problems.
  • A fundamental understanding of some of the core technologies in our stack

Engineers on the team today:

  • Work with React (TypeScript), Python (Flask), Neo4j, MySQL, Elasticsearch, Docker & AWS.
  • Supportive—especially when teammates are faced with new challenges
  • Are left to autonomously figure out the solutions to their challenges
  • Put themselves in the shoes of our users to craft a great experience
  • Value clear, frequent communication
  • Enjoy being a generalist and are not tied down to a specific programming language or surface area of our codebase
  • Are naturally curious and willing to take a step to learn something they don’t have experience in
  • Feel a great sense of accountability to our users
  • Uphold best practices in engineering, security, and design

Some projects in the pipeline

  • Design and implement maintainable backend services, including data processing pipelines, APIs, etc
  • Build integrations between Secoda and popular data tools (Fivetran, Segment, Census, Hightouch, Supergrain, Transform etc.)
  • Build a delightful and performant UI for better collaboration within the product
  • Design interfaces to help our customers understand complex data and relationships between the different data resources in their company

Why you should join Secoda

Secoda makes the experience of exploring and using data as intuitive, fast, and useful as using Google Search. Secoda stands for searchable company data and our vision it to continue to work towards a tool that makes browsing for data knowledge as easy as finding a website on Google.

Today, data teams are collecting tons of data, but most employees don't know what data exists, how to use it, and what data to trust. This confusion happens because different components of company data get collected in fragmented tools. Teams use dbt and Snowflake for data cataloging, Google Sheets for events, Confluence for general knowledge, Slack to manage data requests, Mode for reports, Github, Looker, the list goes on and on.

After teams switch to Secoda, data knowledge is centralized in one place. Instead of having to switch between Snowflake, dbt, Confluence Google Sheets, BI tool, and your query editor, Secoda keeps all your data knowledge in one place for everyone who needs it.