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.
A DAY IN THE LIFE:
As a Data Engineer, you will enhance, harden, and support Amount’s data-related systems, including:
- Data pipelines
- OLAP data stores
- Reporting dashboards
- Client-facing Data API
The Data Engineering team is responsible for keeping data flowing consistently, accurately, and reliably from multiple client-facing platforms, including our brand-new, 3rd generation lending platform. You will face the challenge of scaling the data pipelines of this new Amount platform. Your tools will include:
- Python, Airflow, Argo, Spark, Trino, and Looker
- AWS products: Redshift, S3, EMR, and Aurora
WHAT WE’LL TRUST YOU TO DELIVER:
- Improvements to existing data pipelines (new fields, performance improvements, new data source integrations)
- Designing new features for the Data Platform, focusing on scalability and reliability
- Operational support for the data platform to ensure all data is available within defined SLAs
- Collaboration with the Product team and other engineering teams to plan and execute projects
- Quality code, robust designs, and innovative ideas
WHAT YOU LIKELY BRING TO THE TABLE:
- Bachelor’s degree in Computer Engineering, Information Technology, Information Systems, Computer Science, or a related discipline
- Strong software engineering skills
- At least 1 year of experience building data pipelines using Python, SQL, and other common data platform technologies
- Aptitude for learning new technologies and analytics techniques
- Experience with Java and/or Ruby is a plus
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
- Key Investors: 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
- Social Media: LinkedIn, Built In, Twitter, Amount Blog
- 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)