Data Engineer

About us

We’re on a quest to give everyone in the world data superpowers. For decades, poor usability and design have limited non-coders from using data to make decisions, measure progress, and run teams. Livedocs is a first-of-its-kind — a no-code analytics tool for everyone

Our team believes that enabling every team to wield data without learning how to code, manage pipelines, schemas, or any data drudgery will unlock a new chapter for how modern teams run.

Our goal is for every member of every team to have the metrics they need as accessible to them as their favorite note-taking app.

Take the product for a spin here

About you

• A good communicator, the ideal candidate can communicate and brainstorm effectively. We run on product docs that translate ideas to an engineering outline
• A great eye for useful abstraction, you will be optimizing data pipelines, queries, and analytics infrastructure at scale
• A strong understanding of Apache Airflow and the relevant ecosystem (we use Google Cloud composer 2 quite heavily)
• Experience working with database systems, writing efficient SQL, and using ORMs and web servers (Python, NodeJS, Sequelize, Postgres)

About the role

Your day-to-day in this role will involve:

• Building useful, high-impact data visualizations for Livedocs users that leverage our data sync engine
• Designing, optimizing, and improving our central data sync engine, solving challenging rate-limiting, batching, and data processing problems
• Building high-impact integrations between Livedocs and third-party APIs that enable the community to build new things with Livedocs
• Writing SQL and Typescript/NodeJS code, while not most of your day to day basic fluency with JS/TS is required

We’re a distributed, remote async team (🇺🇸 🇦🇪 🇦🇺 🇺🇦 🇮🇳). Our working style is unique, so here’s some things you should know about us:

• We are hackers at heart. We often venture outside the instruction manual, emboldened by strong technical skills. We are not afraid to break new ground where an existing solution doesn’t exist.
• We are a championship team. We are building paradigm-shifting software, and it requires solving some difficult challenges and consistently operating outside the comfort zone. We work with a sustained high-performance approach, often requiring long hours and good prioritization skills to make ourselves available if we are the blocker on a key task.
• Being a remote async team, you are ultimately in charge of how much impact you can add. But as a championship team, we make a concerted effort to raise the bar by enabling you to take initiatives with accountability.
• Both impact and skills are required, not one or the other. We expect you to create impact for our users, team, and product, and support. In return we are here to support your career in whichever direction you want to grow.

Relevant tech we use

Python, Apache Airflow, Typescript, Google Cloud Composer 2, Cloud Pub/Sub,

We follow a simple and transparent process, designed to find folks who enjoy iterating, move quick, and taking ownership of their work. We aim to wrap the hiring process up in days, not weeks. Here’s how we hire:

1. Coffee chat with the CEO about this role: An informal call to get to know you, learn about your goals, and what you want to do at Livedocs
2. Build with the team: Pick a short project to work on, and work async on it. Here are some we’ve used in the past:
   • Design a simple dynamic DAG with Airflow that syncs with a simple demo API, handling paginations and cursor (as seen in a real-world ETL scenario)
   • Design a plugin management library with Python, with each plugin being a unique connector for a simple data sync engine
3. Code review: When your solution is ready, you will review it with an engineer from our team
4. Team intro: Chat with the rest of the Livedocs team and learn about who you’ll be working with
5. Offer and chat with the CEO: Let's discuss the details, offer letter, and onboarding. It’s time to build something cool together!