Senior Software Engineer - Fullstack
Databricksover 1 year ago
Base Salary
$158k - $214k/yr
Responsibilities
- Build full-stack product experiences across the complete data project lifecycle, from loading data and visualizing results to creating statistical models and deploying production artifacts.
- Create workflows to configure and manage large-scale compute clusters, networks, and data sources.
- Create, deploy, test, and upgrade complex data pipelines with data-graph visualization features.
- Build onboarding and organization-management experiences that help teams become data-driven.
- Develop SQL-centric data exploration and dashboarding experiences.
- Create collaborative data-project environments that operate at massive scale and provide a path to production.
- Partner with the engineering team and product management to define robust, scalable, and user-friendly products.
Requirements
- At least five years of experience with HTML, CSS, and JavaScript.
- Strong understanding of front-end architecture and passion for user experience and design.
- Experience with modern JavaScript frameworks such as React, Angular, VueJs, or Ember.
- At least five years of experience with server-side web technologies such as Node.js, Java, Python, Scala, C#, C++, and Go.
- Good knowledge of SQL.
- Experience with cloud technologies such as AWS, Azure, GCP, Docker, or Kubernetes.
- Experience developing large-scale distributed systems.
- Ability to work toward a multi-year vision with incremental deliverables and motivation to deliver customer value.
Benefits
- Comprehensive benefits and perks; region-specific details are provided through Databricks’ benefits site.
Tech Stack
AngularApache SparkAWSAzureC#C++CSSDatabricksDockerEmber.jsGoGoogle Cloud PlatformHTMLJavaJavaScriptKubernetesMLflowNode.jsPythonReactScalaSQL
Categories
About Databricks
Databricks builds a cloud-based data and AI platform centered on the lakehouse architecture, combining data engineering, analytics, and machine learning with Apache Spark, Delta Lake, and MLflow. It sells subscriptions and cloud services to enterprises that need to unify data pipelines and develop large-scale AI and analytics. Founded in 2013 by the creators of Apache Spark and headquartered in San Francisco, the company is privately held and serves organizations across many industries.