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Data Engineer

| Santa Monica

Who We Are:

With one click Earny (www.earny.com) gets you money! Every year, online shoppers in the US lose 50 billion dollars in unclaimed money, and we’ve developed an elegant way of returning that money back to our customers. With over 2.4 million registered users, our mission is to advocate for consumers to ensure that they are getting the best price on all of their purchases.

Our simple customer experience means sophisticated back-end decision-making on their behalf. Earny acts as a personal assistant that automatically gets our customers money back on almost every purchase. Earny uses low-latency price tracking to identify the lowest possible prices, and obtains refunds using credit card price protection.

We are headquartered in Santa Monica, CA and are backed by top investors including Science, Inc., Sweet Capital, Comcast Ventures and Mayfield. We’re currently looking for innovative and passionate people, who are eager to make a difference and play a vital role in Earny’s growth and success.

The Role:

We are looking for a Data Engineer that enjoys empowering teams with insights that can transform into executable business strategies. Ideally, this person would be a data junky that is comfortable diving into large quantities of structured and unstructured data, but also business savvy enough to pull relevant insights and help teams drive meaningful change. This role will work heavily with SQL, scripting languages, third party API’s, and a variety of visualization and reporting tools to develop both regular and adhoc reports for stakeholder consumption. The Data Engineer will report to the CTO and be a part of the Engineering team, but support all areas of the business.

What You’ll Do:

  • Automate: Help teams make their workflows and processes more efficient. Build out new tools/features and write scripts as needed that will help drive efficiencies across all teams. Work with teams to automate process and advise/work with operational teams to execute strategies. Help manage our business intelligence tools (e.g. Metabase) by ensuring all data definitions and filters are up to date, and that each department is getting the most out of the systems at their disposal.
  • Strategize: Understand business needs and come up with solutions for new problems. Create adhoc analyses, forecasts and business models as needed. Understand business challenges and work proactively with management to discover data insights that enable efficient growth.
  • Analyze: You will gather data via our multiple data sources to answer pertinent business questions, gather insights, and present meaningful information and stories back to the team. Create complex SQL queries to mine data from our database. Create and run reports out of Google Analytics and third party providers to perform both regular and adhoc analyses. Aid teams in gathering insights and creating automated reports across their multiple data sources.
  • Innovate: Determine and help build the best tools to mine data, automate reporting, and present complicated data insights as intuitive stories to internal and external stakeholders. Continually improve ongoing reporting and analysis processes, automating or simplifying self-service support for secondary datasets. Come up with long term solutions to business problems using data
  • Communicate: Understand technical problems and communicate them effectively with business teams. Explain the methodology used in analysis in simple terms. Perform regular and exploratory analysis on data and provide insights and regular reporting to stakeholders

Skills + Qualifications:

  • Bachelor of Science in Finance, Computer Science, Math, Statistics, Economics, or similar
  • 2+ years postgraduate experience in data mining and analysis
  • Fluency in SQL with experience building views and stored procedures
  • High proficiency in a scripting language such as Python, R or other statistical language
  • Comfortable with command line scripting
  • Strong quantitative, statistical, analytical, and problem solving skills
  • Expertise in Google Sheets, Microsoft Excel, and other standard analysis tools
  • Experience with Google Analytics
  • Ability to initiate and drive projects to completion with minimal guidance
  • Highly organized, even in a rapidly evolving environment
  • Ability to communicate effectively with a broad spectrum of colleagues and external partners

Big Pluses:

  • Experience working in a startup environment
  • Experience with Metabase or similar open source BI tools
  • Managed a data warehouse project, from design to implementation
  • Version control experience (e.g. Git/Github)
  • Experience working with or as part of fraud prevention or risk management teams

Perks + Benefits:

  • Salary, Equity & Health Insurance
  • Vacation: Unlimited PTO and Flex Time
  • Free Food/Drinks: Catered Meals, plus stocked cabinets and fridge at your disposal
  • Rad Location: Our office is in the heart of Santa Monica and has a casual work environment
  • Amazing Culture: Happy Hours, Team lunches, Team breakfasts, Weekly Fitness Classes, Game Nights, Quarterly Company Outings
Read Full Job Description

Technology we use

  • Engineering
  • Product
    • JavascriptLanguages
    • SwiftLanguages
    • Node.jsFrameworks
    • AngularFrameworks
    • TypescriptFrameworks
    • Microsoft SQLDatabases
    • Google AnalyticsAnalytics
    • MixpanelAnalytics
    • JIRAManagement


1728 Olympic Blvd., Santa Monica, CA 90404

An Insider's view of Earny

What’s the vibe like in the office?

From the first moment I signed my papers to work at Earny, our CEO said "welcome to the family" it has felt exactly like that. This team really treats each other like family. And Earny himself is like one more member of the team, who everyone cares deeply about. The team is small but mighty and has built incredible things together.


Lead Product Manager

What does your typical day look like?

Earny is everything you want from joining a startup. Lots of ownership over your work. Fantastic office that feels like you are being cared about. Smart and nice people. No typical downsides like operational chaos or permanent stress or long days.


iOS Engineer

How has your career grown since starting at the company?

I am glad and proud that the company hired a woman as their first engineer. I've had tremendous growth working here as a Backend Software Engineer. The bots I've built are helping users get their money back, this is by far the coolest feeling! I've had the opportunity to work on so many different things which is really exciting to do at a startup.


Backend Software Engineer

What is your vision for the company?

Earny's mission is to become the number one consumer advocate service in the world!


CEO & Co-Founder

What are Earny Perks + Benefits

Earny Benefits Overview

+ Salary, Equity & Health Insurance
+ Vacation: Unlimited PTO and Flex Time
+ Free Food/Drinks: Catered Meals, plus stocked cabinets and fridge at your disposal
+ Rad Location: Our office is in the heart of Santa Monica and has a casual work environment
+ Amazing Culture: Happy Hours, Team lunches, Team breakfasts, Weekly Fitness Classes, Game Nights, Quarterly Company Outings

Health Insurance & Wellness Benefits
Flexible Spending Account (FSA)
Disability Insurance
Dental Benefits
Vision Benefits
Health Insurance Benefits
Life Insurance
Wellness Programs
Earny provides weekly onsite fitness classes
Onsite Gym
Retirement & Stock Options Benefits
Company Equity
Child Care & Parental Leave Benefits
Child Care Benefits
Earny offers dependent day care FSA
Flexible Work Schedule
Vacation & Time Off Benefits
Unlimited Vacation Policy
Paid Holidays
Paid Sick Days
Perks & Discounts
Beer on Tap
Casual Dress
Commuter Benefits
Company Outings
The whole company goes on trips to celebrate milestones
Game Room
Stocked Kitchen
Some Meals Provided
Earny provides catered lunches twice a week
Happy Hours
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