Want to help everyday Americans build wealth? Financial inequality is increasing and too many people are getting left behind. At Stash, we believe in the power of simplifying investing, making it easy and affordable for everyday Americans to build wealth and achieve their financial goals.
We’re one of the fastest growing fintechs in the U.S. and have had another record-breaking year. In 2021 we almost doubled our headcount and valuation. Our personal finance app makes investing easy and affordable; this year 6 million customers set aside more than $3 billion with Stash.
Prioritizing People is one of our core values and has been key to a healthy work-life balance and a great sense of fulfillment and inclusion. We employ a true people first – hybrid model. Live and work where you feel the most productive, whether that is in your home, in an office, or a combination of both. Anywhere in the US or UK.
Let’s solve complex problems and tackle wealth inequality.
At Stash, data is at the core of how we make decisions and build great products for millions of users. As a Data Engineer you will be a part of our Data Platform Team which is leading the architectural design decisions and implementation of a modern data infrastructure at scale. You will build distributed services and large scale processing systems that will support various teams to work faster and smarter. You will partner with Data Science to help productionize machine learning models and algorithms into actual data driven products that will help make smarter products for our users.
Tools and technologies in our tech stack (evolving):
Hadoop, Yarn, Spark, MongoDB, Hive
AWS EMR/EC2/Lambda/kinesis/S3/Glue/DynamoDB/API Gateway, Redshift
ElasticSearch, Airflow, and Terraform.
What you’ll do:
Build core components of data platform which will serve various types of consumers including but not limited to data science, engineers, product, and QA.
Build various data ingestion and transformation job/s as and when they are needed
Productionize our machine learning models and algorithms into data-driven feature MVPs that scale
Leverage best practices in continuous integration and deployment to our cloud-based infrastructure
Build scalable data services to bridge the gap between analytics and application space
Optimize data access and consumption for our business and product colleagues
Develop an understanding of key product, user, and business questions
Who we’re looking for:
3+ years of professional experience working in data engineering
BS / MS in Computer Science, Engineering, Mathematics, or a related field
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
Experience (or a strong interest in) working with Python or Scala
Experience with working with a cluster manager (YARN / Mesos / Kubernetes)
Experience with distributed computing and working with Spark, Hadoop, or MapReduce Framework
Experience working on a cloud platform such as AWS
Experience with ETL in general
Experience working with Apache Airflow
Experience working with AWS Glue
Experience in Machine Learning and Information Retrieval
Invest in Yourself:
Equity & Stash Accounts [Invest, Retire, Custodial, Bank]
Learning & Development Fund
Work from Home Stipends
Parental Leave [Primary & Secondary]
BuiltIn’s Best Places to Work (2019, 2020, 2021)
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)
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 [email protected]
To apply for this job please visit ats.comparably.com.