Data Engineer

November 14, 2024

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Logo of Wealthfront

Wealthfront

Wealthfront is a financial technology company specializing in automated investment services and financial planning tools. It offers a range of services including automated bond ladders, cash management with a competitive annual percentage yield, and comprehensive long-term investment strategies utilizing diversified index funds. Wealthfront's platform is recognized for its ease of use and efficient automation in managing savings, investments, and retirement funds. The company's offerings include FDIC-insured cash accounts, advisory services, tax-loss harvesting, and personalized investment portfolios. Wealthfront aims to help individuals grow their wealth through accessible, low-cost financial solutions tailored to individual risk preferences and financial goals.

personal finance • investment management • portfolio management • software • financial planning

201 - 500 employees

Founded 2011

💸 Finance

💳 Fintech

☁️ SaaS

💰 $69.7M Convertible Note on 2022-09

📋 Description

• Data is critical to Wealthfront’s success. For example, our data includes the financial details of our clients, which our products use to help our clients make the best financial decisions for themselves. • As a Wealthfront Data Engineer, you will help build and maintain the company’s core datasets. • You will collaborate with stakeholders around the company, within Engineering, Product, Data Science, Marketing, Finance, etc. • We value automation. You will invest in building systems which yield automated confidence in our data.

🎯 Requirements

• You have 4-6 years of experience designing and building metrics-focused deliverables within a data-driven, consumer-facing software company. • Expert level SQL knowledge for manipulating data within MPP relational databases. • Deep knowledge of and experience with one or more high level programming languages such as Python, Java, or Scala. • Experienced in big data processing using distributed processing frameworks like Spark or Hadoop Map Reduce. • Experience with one or more analytic reporting tools such as AWS Quicksight or Tableau. • Experience with product and marketing data tools such as Amplitude, Iterable, or Braze will be valuable. • You exhibit all the professional qualities that make you a great Data Engineer: analytic, great communicator, collaborative, detail oriented, etc. • You have a BS or MS in Computer Science or related field.

🏖️ Benefits

• medical • vision • dental • 401K plan • generous time off • parental leave • wellness reimbursements • professional development • employee investing discount • more!

Apply Now

November 8, 2024

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