Full-Time

Software Engineer – New Grad

Distributed Data Systems, 2025 Start

Posted on 8/5/2024

Databricks

Databricks

5,001-10,000 employees

Unified data platform for analytics and AI

Data & Analytics
Enterprise Software
AI & Machine Learning

Compensation Overview

$140k - $150kAnnually

+ Annual Performance Bonus + Equity

Entry

Mountain View, CA, USA

Category
Backend Engineering
FinTech Engineering
Software Engineering
Required Skills
Data Structures & Algorithms
Java
C/C++
Requirements
  • You will graduate in Fall 2024 or Spring 2025 with a degree in Computer Science, Engineering, or related subject
  • You have implementation skills with a general purpose program language, such as Java, or C++
  • You have knowledge of algorithms, data structures, and OOP principles
  • A passion for database systems, storage systems, distributed systems, language design, or performance optimization
  • You have experience managing end-to-end projects
Responsibilities
  • Query compilation and optimization
  • Distributed query execution and scheduling
  • Vectorized execution engine
  • Data security
  • Resource management
  • Transaction coordination
  • Efficient storage structures (encodings, indexes)
  • Automatic physical data optimization
  • Data plane storage
  • Storage management system

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

0%

1 year growth

3%

2 year growth

0%
Simplify Jobs

Simplify's Take

What believers are saying

  • Databricks raised $10 billion, valuing the company at $62 billion in 2023.
  • The company plans to expand globally, including into Saudi Arabia, enhancing market presence.
  • Growing demand for real-time analytics boosts Databricks' lakehouse architecture adoption.

What critics are saying

  • Increased competition from Snowflake threatens Databricks' market share.
  • Rapid AI advancements could render Databricks' offerings obsolete without innovation.
  • Regulatory scrutiny over data privacy may impact Databricks' operations in new regions.

What makes Databricks unique

  • Databricks offers a unique lakehouse architecture combining data lakes and warehouses.
  • The platform supports seamless integration with various cloud services for data management.
  • Databricks provides automated ETL processes and high-performance analytics capabilities.

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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

INACTIVE