Data Engineer, Robinhood

$144-220k

Base pay for the successful applicant will depend on a variety of job-related factors, which may include education, training, experience, location, business needs, or market demands.

SQL

Python

Tableau

Looker

Hadoop

Spark

Flink

Mid and Senior level

San Francisco Bay Area

Commission-free stock trading platform

Open for applications

Commission-free stock trading platform

1001+ employees

FintechB2CCryptocurrencyMarketplaceTrading

Open for applications

$144-220k

Base pay for the successful applicant will depend on a variety of job-related factors, which may include education, training, experience, location, business needs, or market demands.

SQL

Python

Tableau

Looker

Hadoop

Spark

Flink

Mid and Senior level

San Francisco Bay Area

1001+ employees

FintechB2CCryptocurrencyMarketplaceTrading

Company mission

To democratize finance for all.

Job

Company

Role

Who you are

4+ years of professional experience building end-to-end data pipelines
Proven ability to implement software engineering-caliber code (preferably Python)
Expert at building and maintaining large-scale data pipelines using open source frameworks (Spark, Flink, etc)
Strong SQL (Presto, Spark SQL, etc) skills
Experience solving problems across the data stack (Data Infrastructure, Analytics and Visualization platforms)
Expert collaborator with the ability to democratize data through actionable insights and solutions

What the job involves

We are looking for a Data Engineer to build and maintain foundational datasets that will allow us to reliably and efficiently power decision making at Robinhood
You’ll partner closely with engineers, data scientists and business teams to power analytics, experimentation, and machine learning use cases
Help define and build key datasets across all Robinhood product areas. Lead the evolution of these datasets as use cases grow
Build scalable data pipelines using Python, Spark and Airflow to move data from different applications into our data lake
Partner with upstream engineering teams to enhance data generation patterns
Partner with data consumers across Robinhood to understand consumption patterns and design intuitive data models
Ideate and contribute to shared data engineering tooling and standards
Define and promote data engineering best practices across the company

Our take

For years, traditional brokers ruled the share trading realm, charging hefty fees that locked out everyday investors. Robinhood emerged as a disruptor, offering commission-free trading and opening the door to a new generation. Its innovative model thrives on premium features like increased buying power and extended trading hours, attracting a younger audience drawn to meme stocks like AMC and GameStop.

But Robinhood's not just about quick thrills. The company claims its mission lies in catering to "the unmet needs of the next generation," evidenced by its "Robinhood Retirement" launch, targeting gig-economy workers often excluded from financial planning. This commitment to accessibility aligns with its core values.

However, 2023 brought unexpected turbulence, as Robinhood became entangled in the FTX cryptocurrency exchange bankruptcy scandal when it emerged that the US Department of Justice seized hundreds of millions of dollars of the company's shares tied to FTX founder Bankman-Fried. Despite these challenges, Robinhood successfully bought back the missing stock, and its impact on democratizing finance remains undeniable.

Kirsty

Company Specialist at Welcome to the Jungle

Insights

Top investors

39% female employees

-23% employee growth in 12 months

Glassdoor (3.4)

Company

Funding (last 2 of 13 rounds)

Feb 2021

$2.4bn

CONVERTIBLE

Jan 2021

$1bn

LATE VC

Total funding: $5.6bn

Company benefits

Well-being - Premium medical, dental, and vision insurance
Family & home life - Parental leave, personal prosperity benefits
Comfort & care - Annual lifestyle stipend
Office life - Catered meals and fully stocked kitchen, commuter benefits
Growth - Education and training, community events, career mentorships

Company HQ

Downtown Menlo Park, Menlo Park, CA

Leadership

Vlad Tenev

(Co-Founder)

Studied Mathematics at Stanford University, where they met their fellow co-founder. Dropped out of a PhD to start Robinhood.

Baiju B.

(Co-Founder)

Studied Mathematics and Physics at Stanford University, where they met their fellow co-founder.

Salary benchmarks

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