Amount provides a unified digital origination and decisioning platform that helps financial institutions meet the moment. Designed to scale with banks and credit unions at any stage of their digital journey, Amount delivers a seamless, digital-first experience—streamlining everything from loan origination to deposit account opening. With built-in fraud orchestration and risk management, Amount enables financial institutions to control risk across any product while optimizing performance and enhancing security. Our flexible, modular platform is backed by enterprise-grade infrastructure and compliance, allowing institutions to launch new offerings in months, not years. Amount’s clients include financial institutions collectively managing over $3.1T in assets and serving more than 50 million U.S. consumers. Learn more at www.amount.com.
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 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.
Salary: $84,000 - $95,000
WHAT WE’LL TRUST YOU TO DELIVER:
- Improvements to existing data pipelines eg. new fields, performance improvements, new data source integrations, etc.
- Design new features for the Data Platform as well as improve 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 or equivalent work
- 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
Social Media: LinkedIn, Builtin, 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)
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