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

$133k - $143kAnnually

+ Annual Performance Bonus + Equity

Entry

Bellevue, WA, USA

Category
Backend Engineering
Software Engineering
Required Skills
Data Structures & Algorithms
Java
C/C++

You match the following Databricks's candidate preferences

Employers are more likely to interview you if you match these preferences:

Degree
Experience
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

Debt Financing

Total Funding

$13.6B

Headquarters

San Francisco, California

Founded

2013

Growth & Insights
Headcount

6 month growth

0%

1 year growth

1%

2 year growth

0%
Simplify Jobs

Simplify's Take

What believers are saying

  • Databricks raised $15 billion in Series J funding for AI product development and expansion.
  • The platform's support for open-source models like Meta's Llama enhances its AI offerings.
  • Growing demand for real-time analytics boosts Databricks' adoption across industries.

What critics are saying

  • Increased competition from Snowflake threatens Databricks' market share in the lakehouse sector.
  • Rapid AI advancements could render Databricks' offerings obsolete without continuous innovation.
  • Integration challenges with new acquisitions may disrupt operations and customer satisfaction.

What makes Databricks unique

  • Databricks' lakehouse architecture combines data lakes and warehouses for efficient data management.
  • The platform supports collaborative data science and machine learning workflows at scale.
  • Databricks offers robust integration capabilities across various cloud environments.

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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