Find Data Science/Analyst Jobs

React, MySQL, Java, MongoDB, Redis, Amazon S3, Go, Amazon RDS, Swift, Objective-C, Kafka, Scala, Cassandra, Amazon DynamoDB, Kotlin, Apache Spark, Amazon Redshift, gRPC, Amazon Redshift Spectrum, Elasticsearch, Mixpanel, TensorFlow, GitHub, Jenkins, Webpack, Kubernetes, Datadog, Terraform, Chef, Crashlytics, Bazel, Envoy

Web - Node, React, Python, PostgreSQL.

Mobile - React Native, Swift (iOS) / Java (Android).

Our main web service is in Node.js, and most other services are in Python (mostly machine learning services, using Keras, Tensorflow, etc). Our frontend is React + Redux, database is PostgreSQL, and services run in a Kubernetes cluster hosted on Google Cloud Platform (Google Kubernetes Engine).

Frontend: React, Relay, Flow, Jest, Enzyme.

Mobile: React Native, Apollo.

Backend: Ruby on Rails, Postgres, GraphQL, Python, RSpec.

CI: GitHub, Buildkite.

Infrastructure: AWS, Python.

Python, AWS, Spark, ElasticSearch, Docker, Airflow, Kubernetes

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.

Go 1.3, Rails 5.1, Ruby 2.6, Java 8, PostgreSQL 9.4, TypeScript 3.5, Angular 8, AWS

Python / Django, Scala, Golang, Postgres, Cassandra, ElasticSearch, Redis, AWS (EC2, S3, ALB, EBS, Kinesis, SQS), Linux (Ubuntu)

Full stack Javascript, Typescript, Node, React, Redux, Apollo, GraphQL, Redis, MongoDB, Elasticsearch, AWS (Codepipeline, ECR, ECS, Fargate) and serverless (Lambda, SQS, SNS).

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

We use Golang for our backend, Typescript and React for our web client, GraphQL to fetch data from our backend, and React Native for our mobile app. Direct experience with these technologies is not required.

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

AWS rds + mysql for data storage API is in python + flask apache thrift for interface definition android app is in java ios apps in swift 3 front-end web is in python, flask, node, and react

Ruby on Rails, React, Redux, React Native, Backbone, Apollo, GraphQL, Redis, ElasticSearch, Postgres, Heroku, Airflow, Python 3

Web stack: Django, GraphQL, React, Postgres. Data pipeline: Spark, Kafka, Elastic Search, Scala. Infra: AWS.

React, React Native, Node.js, Elasticsearch, Redis, Heroku, AWS

Ruby on Rails, Ember.js, iOS app (Swift), Android app (Kotlin/Java)

Backend: Ruby on Rails, Postgres, Elasticsearch, Google Cloud Platform, Kubernetes.

Frontend: Typescript, React, Redux.

Data: BigQuery, BigTable, DataFlow, DataProc.

Rails, MongoDB, Knockout, Go, AWS

Javascript (React/Redux), Ruby on Rails, Scala, Postgres, LittleTable

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

Python, Flask, PostgreSQL, Redis, Heroku, AWS, GraphQL, React Native

Outside of our data teams, our engineering teams use Java, JBoss, CDI/Spring, Freemarker, Jquery, Knockout, SpringBoot, Redis Kinesis, Docker.

Our Data Engineering team uses Groovy, Redshift, AWS Data Pipeline, AWS Lambda, Cassandra, AWS Elastic Bean Stalk, Python, Docker.

Our Data Science team uses Python, Jupyter Notebook, SciKitLearn, Redshift, and Docker.

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. We also periodically evaluate adding other languages into our codebase for ecosystem or performance reasons. Mobile apps are currently written in the standard platform language, mixed with JavaScript in webviews where appropriate. Our production infrastructure runs on a variety of AWS services, principally using Terraform for deployment; for data collection, aggregation, monitoring, and alerting, we use a mixture of ELK and some carefully selected third-party services.

Frontend: express, react, redux, bootstrap

Middleware: express

Backend: everything but dominantly GoLang running on AWS

Across our product portfolio we leverage a variety of languages, frameworks and tooling. Much of our code is written in C#/.NET Core 2.x along with a handful of other languages such as Java, C++, PHP and Node.js. For frontend, Angular 7+ on the newer products, and a few mature products leveraging Javascript and JQuery. Many databases to store our 300TB+ of production data including MySQL, SQL Server, Snowflake, MongoDB & DynamoDB. We have some monolithic applications though new products & platforms are built using microservices running Docker containers on AWS ECS with some footprint in Azure. We leverage many AWS services – Lambda, CloudWatch, S3, EC2, Route53, EMR, IAM, SQS, SNS and more. We also use Terraform for configuring infrastructure, Jenkins for CI, and Git/GitLab for source code. These are flexible (they can and will change) and what a candidate knows for stack is not as important as their ability to think creatively – we can train languages, it’s much harder to train curiosity and intellectual drive.

Backend: Ruby on Rails, Frontend: ReactJS

Ruby, Rails, Javascript, React, MySQL, Kubernetes

JavaScript/CoffeeScript, Python, Node.js, React + React Native, AWS Lambda, Spark, Kinesis, MongoDB, Redshift

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

Python, MySQL, Redis, Kinesis, HAProxy, Linux, Javascript, React, Redux, Flux, Flow, Elasticsearch, AWS, Jenkins, MyPy, nginx

Node.js, React.js, Redis / Mongo, AWS, Kubernetes / Terraform / Docker

JavaScript, Node.js, AWS Lambda, PHP, Java, MySQL

Blog Post on our Tech Stack

Lever uses our own open source MVC framework called Derby that syncs all data via Operational Transformation (the algorithm behind Google Docs). 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 Grafana 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

Swift

Postgres

Redis

Memcache

RabbitMQ

AWS

Heroku

The YC internal software is mostly written in Ruby on Rails and React. We’re hosted on AWS and PostgreSQL. Some experience developing web apps would be helpful, but we don't care if you've used Rails before.

Note: Hacker News is written in Lisp, but Hacker News is run by a separate team. While we don't use Lisp anymore in our internal software, we retain the original motivation for it, and welcome Lisp hackers to join us.

Ruby / Javascript / Python / Golang

Sinatra / Rails / React

MySQL / Mongo

Presto for data warehouse

Docker / Kubernetes for deployment

REST / JSON / gRPC for service communication

TypeScript, JavaScript, and React

Scala (high performance backend)

Python (infrastructure management and data analysis)

Android and iOS

Luna1 (legacy in-house functional reactive framework, similar to Meteor)

Frontend: React/Redux. Legacy JSP (although increasingly less!)

Monolith backend: Java on Tomcat.

Microservices backend: Java on Spring.

API: Java w/ Swagger.

TechOps: Hashicorp stack + Docker on EC2/AWS. Cloudflare, EBS, Redis. Git/GitHub for Source Control. Jenkins for CI. Ruby/Cucumber for testing.

Databases: MySQL

Search: SOLR

Data: Python (pandas, AirFlow, etc.). Redshift/Postgres.

OnForce Platform (subsidiary): PHP on baremetal LAMP (deprecating, moving to AWS).

Languages/Frameworks: Angular, Node, Serverless Lambda, Rails, Coldfusion

Databases: MSSQL, Aurora

Cloud Providers: AWS

Our main app is a Ruby on Rails API, with a Postgres and PostGIS database and a front-end built using React.js. It’s hosted in Heroku. We also have a variety of services built in Python that are hosted on AWS.

C#, Asp.Net MVC, Asp.Net Core

We’re primarily a Python shop, using Django for our websites. We also have a few services written in Go and have started to build out our front ends using React. We use Github to host our code, Jenkins (for now) to automate our tests, and right now most of our applications and code live in VMs in a Colo just outside of Toronto. We’re in the process of transitioning to AWS. Other common technologies we use are Postgres (primary DBs), Redis (cache and key/value store), RabbitMQ (messaging broker) and Celery (task queue).

React Native, React, Ruby on Rails, Go

Tech stack varies from team to team: PHP, React, Java, Node, Scala, Objective-C, Go, etc.

ASP.NET / C# / MVC 4+ / LINQ / AJAX / JavaScript / jQuery / JSON / SQL / T-SQL / XML / XSL / XPath / XHTML / DHTML / CSS / Bootstrap / Rest / SOAP / Web Services