Python Full Stack Developer (R-19632)

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. For over 180 years, 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.

The Role: We are seeking a highly skilled Full Stack Engineer to design, develop, and scale next-generation Data Quality and AI-enabled platforms. In this role, you will work across the entire technology stack - from intuitive user experiences and data visualizations to cloud-native backend services and data processing pipelines. You will partner closely with Data Quality SMEs, Data Engineers, Product Managers, Data Scientists, and Platform Teams to build solutions that support data observability, analytics, data governance, and AI-driven insights.

You will help build the next generation of D&B's Data Quality Insights platform, enabling data governance, observability, analytics, and AI-powered decision support for enterprise data products.

Key Responsibilities:

Full stack Application Development

Design and develop modern, responsive web applications and drive the end-to-end development of scalable full-stack solutions using React, TypeScript, and Python (FastAPI), delivering high-performance web applications, APIs, microservices, analytics dashboards, data platform integrations, and AI-powered capabilities in partnership with Product, Data Engineering, Architecture, and Platform teams.

Data Quality & Analytics

Build and enhance next-generation Data Quality and Governance platform that enables rule management, observability, metadata-driven monitoring, policy enforcement, and AI-powered insights. Develop scalable capabilities (front-end and back-end) for data quality assessment, anomaly detection, lineage, governance workflows, and self-service analytics, transforming business requirements into extensible enterprise-grade solutions.

Cloud Engineering & DevOps

Build cloud-native applications using GCP. Containerize applications using GKE and orchestrate deployments through CI/CD pipelines, preferably Terraform. Implement Infrastructure-as-Code and engineering best practices. Participate in operational excellence activities, monitoring, reliability, and platform optimization.

AI & automation

Integrate Generative AI and Agentic AI capabilities into engineering solutions. Collaborate with Data Scientists and AI teams to operationalize AI/ML models. Develop AI-powered workflows, anomaly detection solutions, and intelligent user experiences. Build and integrate LLM-enabled services, copilots, and automation capabilities where appropriate.

Engineering Governance

Write clean, maintainable, and testable code. Develop automated unit, integration, and end-to-end tests. Perform code reviews, technical documentation and contribute to engineering standards and best practices. Champion security, scalability, performance, and accessibility standards. Participate in architectural discussions and comply to Agile/Scrum practices.

Key Requirements:

5-8 years of professional full‑stack/software engineering development experience with demonstrated ownership of end‑to‑end systems.

Strong experience in modern frontend development using React/Angular, TypeScript, JavaScript (ES6+), HTML5/CSS3

Strong backend development experience using Python, FastAPI or Flask

Strong SQL skills with experience developing analytical queries against large-scale datasets.

Experience designing and developing REST APIs, Microservices architectures, Event-driven systems

Experience with databases PostgreSQL, MySQL, MongoDB or equivalent NoSQL technologies

Experience with Docker, CI/CD pipelines, Terraform, Git-based development workflows

Experience building and deploying applications on Google Cloud Platform (GCP) including BigQuery, Composer (Airflow), Cloud Storage, Pub/Sub, Dataproc, Dataflow and GKE. Experience with Terraform and Infrastructure-as-Code is highly preferred.

Strong testing fundamentals across the stack (unit, integration, E2E).

Solid understanding of Git workflows and development tooling (npm/yarn etc).

Familiarity with data pipelines, ETL/ELT processing, metadata-driven architectures, observability frameworks, and large-scale analytical platforms.

Strong grounding in web security, including authentication, authorization, and secure API communication.

Strong problem-solving, communication, and collaboration skills.

Ability to work independently and in cross-functional teams.

Focus on quality, performance, and maintainability.

This position internally titles as Software Engineer II

All Dun & Bradstreet job postings can be found at https://jobs.lever.co/dnb. Official communication from Dun & Bradstreet will come from an email address ending in @dnb.com.

We may use artificial intelligence (AI) tools to support parts of the hiring process, such as reviewing applications, analyzing resumes, or assessing responses. These tools assist our recruitment team but do not replace human judgment. Final hiring decisions are ultimately made by humans. If you would like more information about how your data is processed, please visit https://bit.ly/3LMn4CQ.