Staff Data Engineer, Earnin

$175.6-261.8k

+ Equity

SQL
AWS
GCP
Python
Scala
Kafka
Terraform
Hadoop
Azure
Spark
Git
Senior and Expert level
San Francisco Bay Area

Office located in Palo Alto, CA

Earnin

Paycheck advance service for employees

Open for applications

Earnin

Paycheck advance service for employees

201-500 employees

FintechB2CB2BPersonal financePaymentsFinancial Services

Open for applications

$175.6-261.8k

+ Equity

SQL
AWS
GCP
Python
Scala
Kafka
Terraform
Hadoop
Azure
Spark
Git
Senior and Expert level
San Francisco Bay Area

Office located in Palo Alto, CA

201-500 employees

FintechB2CB2BPersonal financePaymentsFinancial Services

Company mission

Earnin’s mission is to build a financial system that works for people.

Role

Who you are

  • 6+ years in designing, building, and maintaining the Data infrastructure and the ability to lead complex projects and teams
  • Bachelor's, Master’s or PhD degree in computer science, computer engineering, or a related technical discipline or equivalent industry experience
  • Proficiency in programming languages like Python and Scala
  • Strong knowledge of distributed computing frameworks such as Apache Hadoop, and Apache Spark with cloud platforms such as AWS, Azure, or GCP
  • Working experience with the Databricks
  • Deep understanding of database design, SQL, and NoSQL databases. Experience in managing large datasets and optimizing database performance
  • Proficiency in Git and Terraform and experience in deploying continuous integration and continuous deployment (CI/CD) practices
  • Experience in managing event-driven systems, particularly with Kafka in cloud environments
  • Expertise in developing and implementing data governance frameworks, policies, and procedures to ensure data quality, compliance, and effective data management practices
  • Deep understanding of data security principles, including encryption, decryption, and secure data storage and transfer protocol

What the job involves

  • We are looking for an experienced Staff Data Engineer proficient in Data infrastructure operations, automation, and management, in addition to traditional data engineering responsibilities
  • As a Staff Data Engineer, you will work cross-functionally with various teams and contribute to helping build an enterprise-grade Data Platform
  • Lead the enhancement of internal processes, focusing on scaling infrastructure, streamlining data delivery, and implementing automation to replace manual operations
  • Design and implement advanced infrastructure for efficient data extraction, transformation, and loading (ETL) using cutting-edge AWS and SQL technologies
  • Develop sophisticated analytical tools that tap into the data pipeline, offering deep insights into crucial business metrics like customer growth and operational efficiency
  • Architect and manage extensive, sophisticated data sets to meet complex business needs and requirements
  • Engage closely with a wide array of stakeholders, including executive, product, data, and design teams, providing high-level support for data infrastructure challenges and advising on technical data issues
  • Make a meaningful impact in the lives of our community members
  • Collaborate and mentor other senior engineers while providing thoughtful guidance using code, design, and architecture reviews
  • Contribute to defining technical direction, planning the roadmap, escalating issues, and synthesizing feedback to ensure team success
  • Estimate and manage team project timelines and risks
  • Participate in hiring and onboarding for new team members
  • Lead cross-team engineering initiatives
  • Constantly learning about new technologies and industry standards in data engineering

Our take

Paying bills is an inevitable part of life, but paying them late or dipping into overdrafts can result in fees. This is the reality for millions of workers who have to wait for their pay checks to arrive – and the problem that companies like EarnIn are trying to solve. By allowing hourly workers access to their pay as it is earned rather than on a fixed date, it hopes to provide all Americans with the ability to deal with immediate costs without going into arrears.

Unlike competitors in this growing space such as Dave, Earnin charges no mandatory fees, instead gaining revenue through a voluntary tipping system. It also requires no credit checks to access its services, which puts it ahead of the growing number of digital banking solutions. This approach has garnered it a strong user base of over 300,000 business customers which offer Earnin as an employee benefit. Around 70 million paycheck advances were taken through the platform in 2022 alone, totalling $5 billion. Since then, this number has grown to an overall earnings access value of $15 billion.

Earnin is growing despite current difficulties in the wider tech landscape and is continuing to hire in all departments. It will continue to improve upon its offering and expand its network of businesses, aiming to give every employee in America control of the money they've earned.

Freddie headshot

Freddie

Company Specialist

Insights

Top investors

Some candidates hear
back within 2 weeks

42% employee growth in 12 months

Company

Funding (last 2 of 4 rounds)

Dec 2018

$125m

SERIES C

Sep 2017

$39m

SERIES B

Total funding: $190.1m

Company benefits

  • 401k
  • FSA
  • Mental health resources
  • Employee Resource Groups
  • Stipend for growth opportunities
  • Pet friendly office
  • Work from home opportunities
  • Health insurance

Company values

  • Ownership
  • Speed
  • Impact
  • Outstanding people
  • Curious truth-seeking
  • Multi-level thinking

Company HQ

Evergreen Park, Palo Alto, CA

Leadership

Was Senior Operations Manager at Reflect.com, a P&G company. Served as President of UniRush from 2004 to 2012.

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