Find Data Science/Analyst Jobs

Airtable’s core stack is written using JavaScript, augmented with static type checking and other tools. We use Node.js on the backend, and mostly React on the frontend, but our application requirements drive a substantial amount of custom software architecture; that is, Airtable is pretty far from a boilerplate “React + Express” application. Mobile apps are currently native and use JavaScript in webviews where appropriate. Our data infrastructure, which drives our data science and business intelligence efforts, is primarily in Python. We periodically evaluate adding other languages into our codebase for ecosystem or performance reasons; philosophically, we try hard to standardize on a few languages and toolchains so that investments in tooling can be leveraged across larger fractions of our engineering effort. Our production infrastructure runs on a variety of AWS services, principally using Terraform for deployment; for logging, aggregation, monitoring, and alerting, we use a mixture of ELK and some carefully selected third-party services.

Ruby/Rails, React/Typescript, Postgres, Snowflake, SQS, Heroku

NextJS, React, Typescript, GraphQL, Kafka, Python, Django

Programming: Python, Flask, pipenv, JSON Data: PostgreSQL, Vault, ActiveMQ Infrastructure: Docker, Terraform, Ansible, AWS, Linux, immutable

Virtualization/Cloud - AWS: ECS, Fargate

OS - Linux

Data Layer - AWS RDS postgres, OLAP Snowflake, OLTP Fauna, AWS ES

Application - Scala, REST API

Presentation Layer - React JS

Orchestration - Containers, Terraform, AWS Cloudformation, AWS Fargate, Docker

Frameworks - Akka

Rails 5.2, Ruby 2.3.7, Python, R, PostgreSQL 9.6, React 0.17, AWS, Docker, RabbitMQ, Sidekiq, Snowflake

Python, Django, React JS, AWS

Node.js & Express backend, Golang CLI, Postgres database, Google Cloud

Swift, React.JS, TypeScript, GraphQL, Node, Python, ECS, PostgresSQL & Redis, largely hosted at AWS.

Data stack: SQL & Redshift, Airflow, Python, Kinesis, Spark, Sagemaker.

Qualified is a modern web app with a React UI interfacing over GraphQL, REST, and WebSockets with a Ruby on Rails backend. The data and messaging layers are built on PostgreSQL, Redis, and ClickHouse.

React, TypeScript, Apollo, GraphQL, Ruby on Rails, Redis, PostgreSQL, AWS

Backend: Ruby on Rails, MySQL, Elasticsearch, Lambdas Frontend: React Infrastructure: AWS, Docker, Terraform CI: GitHub, Jenkins

React.js, React Native, Typescript, Python, Zappa, Serverless Framework, Django, AWS, PostgreSQL, Kinesis, S3, Glue, Jest, Selenium, Pytest

AWS, Angular 10, Go 1.14, Java 8+, Postgres 11.5, Rails 6, Ruby 2.7+, Terraform, TypeScript 3.5

Backend: Node + Express, Typescript, Go Microservices. Frontend: Next.js, React + Hooks, Storybook. Infrastructure: Heroku + AWS, CircleCI, DataDog.

AWS PHP NodeJS Agile React Javascript ES6, Node.js, AWS (Lambda, SNS, EC2, ECS). SQL NoSQL databases (MySQL, MongoDB). GIT/Bitbucket

Blog post on our tech stack

Lever uses our own open source real-time framework called Derby that syncs all data via Operational Transformation. OT is the way we handle concurrency conflicts for any piece of data that is edited at the same time. In addition to real-time sync, OT allows us to provide a smoother UI since we can render updates on the client instantly without waiting for our backend to respond, while still guaranteeing consistency.

Lever makes extensive use of AWS, Docker, Node, Mongo, ElasticSearch, and Redis within our infrastructure. We use tools like Hubot to streamline deployments and Datadog to see what’s going on under the hood. In addition to automating all the things, we love to version them too! Our systems are all created using Terraform and Chef, working together to ensure consistency at all costs.

Ruby on Rails, Java, Elixir, React.js, GraphQL, Node.js, AWS, Redis, Spark & Scala, (Data team)

Python, JavaScript, Ruby, Unix, Linux, React.js, Ruby-on-Rails, Ajax, Docker, SQL, Apache, Amazon-web-services, DataDog

Python (using Flask / SQLAlchemy), PostgreSQL, React/Redux, Android (native, Kotlin), AWS

AWS, DynamoDB, Go, InfluxDB, Kubernetes (EKS), PostgreSQL, Python, ReactJS 16+ (Hooks), Swift, Terraform

Swift, JavaScript, TypeScript, Native iOS, UIKit, Combine, Node.js, Vapor Swift, React, Next.js, Postgres, MongoDB

Golang, React, Redux, MongoDB, ElasticSearch, Redis, Kinesis, NATS, TimescaleDB, Lambda, Node.js, Postgres, Typescript

APIs & Services: python+flask, thrift for API specification.

Backend infrastructure: AWS tools (S3, SQS, SNS, etc.). Graylog for logging. Cloudwatch, Icinga, PagerDuty for monitoring. Jenkins for CI/CD. Airbrake for exception monitoring.

Releasing: Regular releases from master twice weekly + Out-of-cycle releases when needed to facilitate the roll-out of specific features.

Mobile: Kotlin is our primary language for our native Android apps. Swift3 is our primary language for our native iOS apps.

Front-end Web: React, hooks, redux, typescript & modern javascript.

Python for our backend code, and the code that runs on the reactors. ES6 and Typescript on the frontend. We use React embedded into a flask site. We have a few different APIs, but we primarily use GraphQL.

Our web services are written with Ruby (Rails) on the backend and Typescript (React) on the frontend. We use GraphQL for most client-server communication, along with a few protobuf APIs for server-server communication. Our services are powered with Kubernetes and hosted on AWS.

Node.js / Typescript, Python, React, Postgres, GraphQL with Hasura, BigQuery (columnar), PyTorch, Pandas, Jupyter, Spark, PySpark, Keras + Tensorflow, XGBoost, LightGBM, Kubernetes, Docker, GCP

Web: PHP, JavaScript, TypeScript, React/Redux, MySQL, Docker, and Elixir.

Mobile: Kotlin, Swift, Java, Objective-C, React Native, and Electron.

Systems: Docker, Nginx, PHP, C, Lua, MySQL, MongoDB, Node.js, Statsd, Graphite, Prometheus, Elasticsearch, Logstash, Hadoop, MogileFS, HDFS, and BGP.

Data: Hive, Impala, HBase, Spark, HDFS, Python, Java, Scala, Kafka, Elasticsearch, MySQL, Solr, and Lucene.

Python, Flask, Javascript, React, HTML/CSS, Sass, React Native, Expo, GraphQL, Postgres, Redis, Heroku, AWS

Clojure backend, React front end, MongoDB, Kubernetes, AWS. Full stack here.

We put a lot of care into how we ship code. Shipping fast starts with serious investment in tooling, like continuous deployment with multiple pushes per day. Shipping sustainably is about more than just effective work – it requires commitment to creating an environment where people can focus and get creative. Our tech stack includes:

React JS, TypeScript, Scala, Node.js, AWS, Graphite, Redis, DynamoDb, Kubernetes, MySQL, Python, Amazon Redshift, Swift, Kotlin, GraphQL, Swagger, ZooKeeper, Envoy

We’re on service-oriented architecture. Our backend is composed of a collection of Java services that communicate via RPC. Our frontend web stack is a React/Redux application. We use Objective-C and Swift in the iOS app and Kotlin in the Android app. Our data infrastructure is cloud native in AWS and includes S3, EMR, Redshift/RDS, Lambda, and ECS.

Python, Airflow, Docker (Marathon/Mesos), Snowflake (currently migrating from Redshift), Databricks (Spark on EC2), GitHub, Kafka, Segment.io, Fivetran, AWS (S3, Kinesis Firehose)

React, Node.js, Python, Java

Ruby, Rails, Javascript, React, MySQL, Kubernetes