About The Role

• Build applications, tooling, and frameworks to improve the productivity of Archive’s product, analytics, and brand success teams.
• Optimize our data models for performant storage/retrieval and fulfill critical product and business requirements
• Work to empower internal users via training and documentation.
• Contribute to and promote data engineering and governance standards across Archive

Skills/Experience

• You have 2+ years of experience as a Software Engineer.
• Experience with at least one of the following languages: Python, Java
• Experience building and deploying large-scale distributed systems
• Experience with and/or exposure to a variety of data stores (relational, NoSQL, PostgreSQL, data warehouse solutions).
• Good working knowledge of relational databases and query authoring (SQL).
• You thrive in ambiguous environments and get excited about figuring out solutions to complex problems, and then executing on them.
• You are a first principles thinker that can work with others to come up with pragmatic solutions — and then evolve and generalize them.
• You have the ability to take a high-level goal and deliver shippable code.
• You have a growth mindset — curious, eager to learn, and never afraid of asking questions.

Bonus Points

• Experience working with very high-scale data infrastructure
• Experience with data products (Hex, Snowflake)
• Full-stack development or product engineering experience

Our Stack

• Frontend: Next.js + React + Redux + Apollo Client (Typescript), Firebase Auth
• Backend: NodeJS (Typescript), Hasura GraphQL Engine, Python, Dagster
• Database: PostgreSQL
• Infrastructure: AWS, Terraform, Vercel, Render, Google Cloud
• Collaboration: Github, Linear, Notion, Slack