Amount is the premiere digital transformation partner for financial institutions committed to the future of banking and to creating safe and personalized customer experiences that help people better manage their financial lives. Our fully integrated and flexible platform is built on years of digital lending experience, enabling digital agility within months and a full suite of end-to-end consumer, small business and embedded finance solutions that fit the way people want to bank.
Inclusion, diversity, and belonging are core to Amount's values, and we believe they are more than words, they are actions. We support our commitment to these ideas by empowering intrepid engagement and learning, increasing diverse representation, and fostering a culture where everyone can bring their full self to work without regard to differences. We look for people who embrace this culture.
As a Data Engineer, you will be enhancing, hardening, and supporting Amount’s Data-related systems such as data pipelines, OLAP data stores, reporting dashboards, and client-facing Data API.
Amount has multiple client-facing platforms including our brand-new, 3rd generation lending platform and the Data Engineering team is responsible for keeping data flowing consistently, accurately, and reliably from these platforms to our clients and internal stakeholders. Scaling the data pipelines of the new Amount platform is an especially interesting challenge.
You will use tools such as Python, Airflow, Argo, Spark, Trino, and Looker as well as AWS products including Redshift, S3, EMR, and Aurora to build a world-class data platform for internal and external customers.
ABOUT AMOUNT (TL;DR)
Founded: 2020
Employees: 150+
Locations: Chicago (HQ), New York, US Remote
Funding: Amount has raised $281M in total equity capital since inception, including most recently at a valuation of $1B. Investors include WestCap, Hanaco Ventures, Goldman Sachs, Invus Opportunities, Mastercard, and PSCU
Key Customers: TD Bank, Velera, Guaranteed Rate, Barclays, American Express, Citizens, Fifth Third Bank, Bank United, FIS, Associated Bank, Comerica
Tech Stack: Greenhouse, LinkedIn Recruiter, Lattice, G Suite, Atlassian, AWS, Python, Java, Ruby, GO, node.js, Temporal, Scala, Apache NiFi, Talend, Informatica, Hadoop, Hive, Spark, Pandas, Looker, Argo, Airflow Luigi, Kubernetes, C#, JavaScript (for advanced concepts), ASP.NET MVC, .NET Core, Microsoft SQL Server, Entity Framework (ORM for database interaction)