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 is to continue to work towards a tool that makes browsing for data knowledge as easy as finding a website on Google.

Role and responsibilities

• Work with designers and product managers to build features and improvements for the core platform (e.g how to display data lineage that’s both performant and intuitive)
• Work with engineering team to increase the scalability of Secoda’s platform (e.g. React component performance, Postgres query performance)
• Work with customer success team to help diagnose and fix bugs
• Work with product team to guide the roadmap towards features that help solve the most important problems for customers

Engineers on the team today:

• Work with React (TypeScript), Python (Django), Postgres, and AWS.
• Are supportive—especially when teammates are faced with new challenges
• Are able 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
• 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

Skills & experience

• 3+ years of experience working as a software engineer
• A fundamental understanding of some of the core technologies in our stack
• Proficiency in communicating complex technical issues to both technical and non-technical audiences

Nice to have

• Familiarity with data tools such a data warehouses (Snowflake & BigQuery), BI (Tableau, Looker & Mode), and others (dbt & Fivetran)
• Experience working in an early-stage startup environments

At Secoda there are many interesting technical challenges that come when building a collaborative data knowledge base. To give an idea of some of the projects you could be working on, here's an overview of some of the pieces of technology we've built so far.

Secoda's platform is built on top of a PostgresSQL database that makes organizing data resources and finding the between them simple and flexible. We have designed our own SQL parser to automatically find the lineage of data resources in a company's data ecosystem. We have created a SQL editor to run queries against popular data warehouses and built charting capabilities to showcase query results. We've implemented a task engine to schedule and run concurrent extractions from data sources. All of the components in Secoda are organized into a micro-service architecture leveraging Docker containers in AWS.

We've just scratched the tip of the iceberg when it comes to problems that we're solving, so if the idea of working to make data be more accessible and and easy to use excites you, come work at Secoda!