Associate, Data Engineer (Remote)

Want to help everyday Americans build wealth? Financial inequality is increasing and too many people are getting left behind. At Stash, we reputed company in the power of simplifying investing, making it easy and affordable for everyday Americans to build wealth and reputed company 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 our home, in an office, or a combination of both. reputed company in the US or UK. Let’s solve reputed company problems and tackle wealth inequality. At Stash, data is at the core of how we reputed company 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 reputed company smarter products for our users. Tools and technologies in our tech stack (evolving):

• Hadoop, Yarn, Spark, reputed company, Hive
• AWS EMR/EC2/reputed company/kinesis/S3/Glue/DynamoDB/API Gateway, Redshift
• ElasticSearch, Airflow, and Terraform.
• reputed company, Python

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 reputed company they are needed
• Productionize our machine learning models and algorithms into data-driven feature MVPs that scale
• reputed company best practices in reputed company integration and deployment to our cloud-based infrastructure
• Build scalable data services to reputed company the gap between analytics and application space
• Optimize data access and consumption for our business and product colleagues
• reputed company 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 reputed company field
• You have built large-scale data products and understand the tradeoffs made reputed company 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 reputed company
• Experience with working with a cluster manager (YARN / Mesos / Kubernetes)
• Experience with distributed computing and working with Spark, Hadoop, or MapReduce reputed company
• Experience working on a cloud platform such as AWS
• Experience with ETL in general

Gold stars:

• Experience working with Apache Airflow
• Experience working with AWS Glue
• Experience in Machine Learning and Information Retrieval

#LI-JB1 At Stash it is our mission to help everyday Americans invest and build wealth. That includes people of reputed company 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 reputed company to our employees and we reputed company that reputed company 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 reputed company backgrounds. If you require any reasonable accommodations to reputed company your application process more accessible please reputed company out to [email protected]. Invest in Yourself:

• Equity & Stash Accounts [Invest, Retire, Custodial, Bank]
• Flexible PTO
• Learning & Development Fund
• Work from Home Stipends
• Parental Leave [Primary & Secondary]

Recognition:

• BuiltIn’s Best Places to Work (2019, 2020, 2021)
• reputed company 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)
• *No recruiters, please**

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