StashFinancial

Senior Data Engineer

US
USD 135k - 202k
Hadoop Spark Kafka Terraform AWS DynamoDB Machine Learning Streaming Scala Python
Description

Millions in the U.S. continue to be underserved or ignored by traditional financial institutions. At Stash, an investing app for more than 2 million active subscribers, we are addressing that reality by giving everyday Americans the confidence to take charge of their money and financial future. Our plans—starting at just $3 a month—provide easy and affordable access to a suite of products including investing, banking, education, and advice. Stashers are 18% more financially literate than the average American, and customers rely on Stash’s unique tools, guardrails, and content to learn about money and build wealth for the long-term. 

In 2022, we made tremendous steps forward in the Stash customer experience, through the launches of Stash Core, a new banking account experience featuring access to an upgraded Stock-Back® Debit Mastercard®, enhanced customer support, and refreshed benefits, including increased rewards; and expanded access to cryptocurrency through a separate crypto account offering. 

Our Talented Team 

We are proud to attract phenomenal individuals who share our commitment to unlocking financial opportunity for a new generation of investors. Their unique perspectives, backgrounds, and experiences have helped create a thriving and inclusive culture based on the notion of “Prioritizing People,” a Stash core value.  

Let’s solve complex problems and tackle wealth inequality.

We look for people who will help raise the bar for our entire engineering organization in terms of tech prowess, passion for collaboration and desire to mentor and educate fellow team members. We look for strategic thinkers and creative problem solvers with a bias for execution and we’ll expect you to contribute code as well as product/feature ideas from the get-go.

Our team has built an amazing modern data platform and we would like to add many advancements such as real time streaming, many tools around data governance. As a Data Engineer, you will be responsible for enhancing our data infrastructure to take it to the next level, in collaboration with the team members. You will also be an active contributor in the ongoing maintenance of the existing pipelines. Stash is a data-driven organization and data infrastructure is a critical part of our overall infrastructure. You will have the opportunity to make an impact in the companies’ OKRs by coordinating with data science, marketing teams and backend teams by aligning with their data needs. We work with the latest technologies in the big data space and are seeking folks who would like to do the same.

Tech stack (evolving):

Spark, Scala, Python, Kafka, AWS EMR, Hive, Redshift, Lambda, SNS, SQS, S3, Looker, DynamoDB, CircleCI, Terraform.

What you'll do:

  • Contribute to the design/architecture new initiatives such as real time streaming pipelines, tooling around data governance, build job orchestration abstractions to manage resources on AWS
  • Collaborate with the team to build tools for data science/marketing teams
  • Design integration pipelines for new data sources and improve existing pipelines to perform efficiently at scale
  • Provide technical guidance to the team
  • Leverage best practices in continuous integration and deployment to our cloud-based infrastructure
  • Optimize data access and consumption for our business and product colleagues

Who you are:

  • 4+ years of professional experience working in data warehousing, data architecture, and/or data engineering environments, especially using spark, hadoop, hive etc with solid understanding of streaming pipelines.
  • At least 1+ years of experience in streaming pipeline development
  • Proficiency in at least one high-level programming language Scala
  • Good understanding of databases
  • You have built large-scale data products and understand the tradeoffs made when building these features
  • You have a deep understanding of system design, data structures, and algorithms
  • You have an excellent knowledge of distributed computing frameworks such as Hadoop MapReduce, Spark.
  • You have a strong knowledge of following AWS infrastructure - EMR, S3, Redshift
  • You have strong understanding of data quality, governance
  • You are a team player, self-driven, highly motivated individual who loves to learn new things

Gold stars:

  • Experience in Machine Learning infrastructure
  • Experience in Search Engines

#LI-MN1

#LI-REMOTE


At Stash it is our mission to help everyday Americans invest and build wealth. That includes people of all races, genders, and abilities, so it is important to us to acknowledge and address the issues of inequality in financial services head on. 

Diversity and inclusion are essential to living our values, promoting innovation, and building the best products. Our success is directly related to our employees and we believe that our team should reflect the diversity of the customers that we serve. As an Equal Opportunity Employer, Stash is committed to building an inclusive environment for people of all backgrounds.

If you require any reasonable accommodations to make your application process more accessible please reach out to recruiting@stash.com

Helping You Invest in Yourself 

  • Comprehensive total rewards package, comprising compensation (base salary, equity, and depending on level, an annual bonus) and health care benefits 
  • Complimentary subscription to Stash+ account 
  • Remote-first work policy – Live and work where you feel the most productive, whether that is in your home, in an office (including our NYC and London offices), or a combination of both. Anywhere in the US or UK.  
  • Equity & Stash Accounts [Invest, Retire, Custodial, Bank]                     
  • Flexible PTO 
  • Annual education reimbursement benefit Learning & Development Fund 
  • Work from home equipment stipends
  • Paid Parental Leave ([offerings for birth giving and non-birth giving parents) Primary & Secondary]
  • Enhanced wellness benefits through Gympass, Headspace, Ginger, and Maven Health
  • Stash Gives donation and volunteerism program through Millie, with an annual company match

External Recognition for Stash

  • Comparably's Best Company Awards: Best Places to Work, Best Company Outlook, and Best Engineering Team for Diversity, Women, Culture, and more! (2023)
  • Fintech Breakthrough Award: Best Personal Finance App (2023)
  • BuiltIn’s Best Places to Work (2019, 2020, 2021, 2022)
  • Forbes Fintech 50 (2019, 2020, 2021)
  • Best Digital Bank, Finovate Awards (2020)
  • Tearsheet Challenge Awards, Best Banking Card Product - Stock-Back® Card, 2020
  • LendIt Fintech Innovator of the Year (2019 & 2020)

Salary Range: $135k - $202k

The base salary range represents the reasonably anticipated low and high end of the salary range for this position. Actual salaries will vary and will be based on various factors, such as the candidate’s qualifications, skills, experience and competencies, as well as internal equity and alignment with market data for companies of our size and industry.

**No recruiters, please**

StashFinancial
StashFinancial
Banking Finance Financial Services FinTech Personal Finance Software Wealth Management

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