Full-Time

Senior Software Engineer

Fullstack

Confirmed live in the last 24 hours

Databricks

Databricks

5,001-10,000 employees

Unified data platform for analytics and AI

Data & Analytics
Enterprise Software
AI & Machine Learning

Compensation Overview

$157.7k - $213.8kAnnually

+ Annual Performance Bonus + Equity

Senior

Seattle, WA, USA

Category
Full-Stack Engineering
Software Engineering
Required Skills
Kubernetes
Microsoft Azure
Python
JavaScript
React.js
Node.js
SQL
Java
Docker
C#
AWS
Go
Scala
Vue.js
C/C++
AngularJS
Databricks
HTML/CSS
Google Cloud Platform
Requirements
  • 5+ years of experience with HTML, CSS, and JavaScript.
  • Passion for user experience and design and a deep understanding of front-end architecture.
  • Comfortable working towards a multi-year vision with incremental deliverables.
  • Motivated by delivering customer value.
  • Experience with modern JavaScript frameworks (e.g., React, Angular, or VueJs/Ember).
  • 5+ years of experience with server-side web technologies (eg: Node.js, Java, Python, Scala, C#, C++, Go).
  • Good knowledge of SQL.
  • Experience with cloud technologies, e.g. AWS, Azure, GCP, Docker, or Kubernetes.
  • Experience developing large-scale distributed systems.
Responsibilities
  • Create, configure, and manage large-scale compute clusters, networks and data sources.
  • Create, deploy, test, and upgrade complex data pipelines with powerful features to visualize data graphs.
  • Seamless onboarding and management for all members of an organization to become data-driven.
  • Provide a great SQL-centric data exploration and dashboarding experience on Databricks.
  • An interactive environment for collaborative data projects at massive scale with an easy path to production.

Databricks provides a platform that combines the features of data lakes and data warehouses, referred to as lakehouse architecture. This platform allows organizations to efficiently manage, analyze, and gain insights from their data. It caters to a diverse clientele, including data engineers, data scientists, and business analysts in sectors like finance, healthcare, and technology. Databricks streamlines data ingestion, management, and analysis through automated ETL processes, secure data sharing, and high-performance analytics. Additionally, it supports machine learning and AI workloads, enabling users to build and deploy models at scale. The company operates on a subscription-based model, generating revenue from platform access and professional services. The goal of Databricks is to empower organizations to leverage their data effectively for better decision-making.

Company Stage

Growth Equity (Venture Capital)

Total Funding

$13.6B

Headquarters

San Francisco, California

Founded

2013

Growth & Insights
Headcount

6 month growth

9%

1 year growth

38%

2 year growth

79%
Simplify Jobs

Simplify's Take

What believers are saying

  • Databricks raised $10 billion for AI product development and global expansion.
  • The company has over 500 customers with $1 million+ annual run rates.
  • Databricks is expanding into Saudi Arabia, aligning with Vision 2030 initiative.

What critics are saying

  • Increased competition from Snowflake could impact Databricks' market share.
  • Potential integration challenges with acquisitions like Tabular may disrupt operations.
  • Expansion into new markets may expose Databricks to geopolitical risks.

What makes Databricks unique

  • Databricks offers a unified platform combining data lakes and warehouses, known as lakehouse.
  • The platform supports collaborative data science and machine learning workflows efficiently.
  • Databricks excels in secure data sharing and high-performance analytics.

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Benefits

Extended health care including dental and vision

Life/AD&D and disability coverage

Equity awards

Flexible Vacation

Gym reimbursement

Annual personal development fund

Work headphones reimbursement

Employee Assistance Program (EAP)

Business travel accident insurance

Paid Parental Leave