Dun & Bradstreet is looking for a Scala Developer II to help us build and scale our search platform. This is an opportunity for a motivated individual to create innovative solutions in a highly visible role where analytical skills, innovative thinking, and a data at scale background can be put to excellent use on the most impactful projects.

The ideal candidate will have a proven track record of delivering product features with minimal direction while working with product managers to clearly understand functional and non-functional requirements.

Key Responsibilities:

• Design and build scalable software using Scala, Akka, Java / J2EE and related technologies.
• Work in a team of Software Engineers and business partners to ensure that the solutions meet the business objectives.
• Model analytical data in a searchable and scalable way.
• Build and maintain Unit and Integration tests.
• Collaborate with other team members to improve development practices.
• Create new ways of pivoting client data with D&B’s rich datasets.

Key Requirements:

• Bachelor's or Master’s degree in Computer Science, Engineering, Physics, or Mathematics.
• 5+ years of proven software systems design and delivery.
• Advanced programming skills and comfort with multiple languages
• Experience in working with messaging frameworks.
• Experience working in a language that incorporates at least some functional features such as C#, Rust, modern Java, or Haskell.
• Some real-world experience working with relational databases. Storing and querying relational data should be second nature to you, including joining and grouping. You should understand what normalization is and why denormalization is sometimes the right answer.
• High level understanding of fundamental computer science concepts such as the practical application of data structures and algorithmic complexity.
• Agile development experience. Scrum, Kanban, XP, etc. 
• Energy and passion for software development and emerging technologies.
• Real-world experience with Large Language Models
• Real-world experience with Elasticsearch outside.
• Experience with Akka and Akka Streams. Know what Pekko is.
• Experience with very large datasets (hundreds of millions to tens of billions of records), especially if you've used highly concurrent systems like Spark or Hadoop to analyze data.