Senior Software Engineer (R-20132)

Shape the Future with Dun & Bradstreet At Dun & Bradstreet, we believe data has the power to create a better tomorrow. As a global leader in business decisioning data and analytics, we help companies worldwide grow, manage risk, and innovate. Since 1841, businesses have trusted us to turn uncertainty into opportunity. We’re a diverse, global team that values creativity, collaboration, and bold ideas. Are you ready to make an impact and help shape what’s next? Join us! Explore opportunities at dnb.com/careers.
Job Summary:
As a Senior Software Engineer on the Visitor Intelligence team, you will design, build, and support the systems that power D&B's Visitor Intelligence and Form Fill products. You will work across backend services, APIs, data processing pipelines, and cloud 
infrastructure that process website activity and connect it with D&B business data. You'll collaborate closely with engineering, product, DevOps, QA, and other D&B technology teams to deliver new capabilities, improve existing services, and maintain reliable production systems. The team values collaboration, technical ownership, mentoring, and engineers who are comfortable solving complex problems across application and data systems. 

Key Requirements:

Bachelor’s Degree in Computer Science, Computer Engineering, or a related field

5+ years of industry experience developing production software

4+ years of experience with Java, Python, C++, or a related computer programming language

Strong understanding of computer science fundamentals: algorithms, data structures, object-oriented programming & design

Self-driven, ability to work in a fast-paced, dynamic environment

Excellent written and verbal communication skills

Must be able to articulate, document, and present software designs and technical decisions to team members and project leads

Ability to take ambiguous product requirements and turn them into practical technical designs in a fast-moving greenfield project

Strong English fluency

Comfortable with up to half of the working hours overlapping standard EST working hours

Using AI-assisted development tools (e.g., Claude Code, Cursor) in daily 
engineering work

Big data, data processing pipelines, or ETL (extract, transform, load) systems

Database design, SQL, NoSQL Databases, and JDBC

Amazon AWS (or other) cloud technologies: EMR, Redshift, RDS, DynamoDB, S3, ECS 
HTTP, REST & CRUD APIs, microservices, JSON, Java Spring

Framework, and SaaS applications

Node and client-side Javascript/Typescript

Software test design and development; unit, functional, & deployment testing; CI/CD environments; Jenkins; JUnit, TestNG, or other test frameworks

Strong data engineering basics: data modeling, SQL, and building scalable pipelines for ingesting, transforming and querying large datasets

Exposure to Agile/Sprint/Scrum software development practices

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