Too many people in the U.S. continue to be left behind by traditional financial services institutions. At Stash, an investing app for more than 2 million active subscribers, we’re on a mission to address that reality by empowering people to invest and build better lives. We’re turning money into a source of hope and opportunity and giving our customers the confidence to take charge of their money and financial future. 

　　It’s an exciting time to be a Stasher! Bolstered by a new slate of world-class leaders and a fresh round of financing, we’re headed into our next phase of growth with momentum. We’ve implemented product enhancements that make it easier for individuals to start their financial journey with us, and operational changes to help us deliver for and support our customers with optimal speed, rigor, and transparency. Also in the past year, Stash launched its groundbreaking back-end infrastructure, Stash Core, allowing the company to exceed 70% in gross margin as it marches towards profitability.

　　Get to Know Data Engineering at Stash

　　Our Data Engineering team has built an outstanding modern data platform, and we are enthusiastic about implementing various enhancements, with a focus on tools related to data quality and governance. As a Data Engineer, your role will be to enhance our data platform collaboratively with the team. Additionally, you will actively contribute to maintaining existing ETL pipelines. At Stash, as a data-driven organization, we understand the pivotal role of the data platform in our overall framework. You'll have the opportunity to influence the company's OKRs by aligning with the data needs of teams such as data science, marketing, fraud, and backend. We actively engage with cutting-edge technologies in the big data space and seek individuals who share our enthusiasm for staying at the forefront of these advancements.

　　Our Tech Stack: Spark, Scala, Python, dbt, Airflow, Kafka, AWS EMR, Hive, Redshift, Lambda, SNS, SQS, S3, Looker, DynamoDB, GibHub Actions, Terraform. We always strive to choose the best tools for the job!

　　What You’ll Do

　　Design, implement and manage large-scale, high performance data pipelines for various data stakeholders, including but not limited to data science, marketing teams.  Monitor and maintain data pipelines, ensuring consistent availability and high-quality data. Participate actively in technical discussions with team members, fostering a collaborative and innovative environment. Optimize data access and consumption for our business and product colleagues Apply industry best practices and standards to ensure optimal development, test automation, CI/CD, and documentation. Who We’re Looking For

　　2+ years of professional experience working in a data engineering environment, especially using spark, AWS, hadoop, hive etc. Proficiency in at least one high-level programming language (Scala, Java, Python or equivalent) Good understanding of databases 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 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 workloads and infrastructure Experience in Search Engines #LI-REMOTE

　　Our Commitment to Diversity, Equity, and Inclusion

　　We proudly celebrate the unique qualities that make you you, 365 days a year, and not just because it’s the right thing to do or good for business. We embed the principles and practices of diversity, equity, and inclusion (DEI) into all that we do to prioritize people, a Stash core value, and to ensure Stashers of all backgrounds and experiences can be their authentic selves. 

　　We are also proud to be the first and only venture-backed fintech to join the CEO Action for Diversity & Inclusion™, and 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]. 

　　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                     Flexible PTO  Annual learning and development reimbursement benefit  Work-from-home equipment stipends; home internet subsidy Paid Parental Leave (offerings for birth giving and non-birth giving parents) Primary & Secondary Enhanced health and wellness benefits through One Medical, Gympass, and Maven Health Opportunities to participate in Stash Gives, our charitable giving and volunteerism program, powered by Millie, with an annual company match External Recognition for Stash

　　Benzinga’s 2023 Best Brokerage for Beginners and Best Robo-Advisor Awards Qorus-Accenture’s 2023 Banking Innovation Awards USA Today and Statista’s 2023 Top 500 Best Financial Advisory Firms 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 (2022, 2021, 2020, 2019) Forbes Fintech 50 (2021, 2020, 2019) Best Digital Bank, Finovate Awards (2020) Tearsheet Challenge Awards, Best Banking Card Product - Stock-Back® Card, 2020 LendIt Fintech Innovator of the Year (2020, 2019) Salary Range: $113,923 - $170,884

　　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**