Data Engineer I (R-18658)

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. Job Summary: We are looking for a Data Engineer to join our team and contribute to building and maintaining applications that power the Dun & Bradstreet Contact Pipeline. This role involves working closely with senior data engineers to optimize data ingestion processes, analyze performance bottlenecks, and implement improvements. You will also create metrics to monitor application performance and throughput, ensuring continuous enhancement 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. Notice to Applicants: Please be advised that this job posting page is hosted and powered by Lever, a subsidiary of Employ Inc. Your use of this page is subject to Employ's Privacy Notice and Cookie Policy, which governs the processing of visitor data on this platform. Key Responsibilities: Develop and maintain applications using Python. Take ownership of existing applications for further development and improvements. Collaborate with cross-functional teams to ensure business continuity. Analyze codebases to identify and resolve performance issues. Perform data analysis to detect bugs and optimize processes. Participate in code reviews and testing of team members’ contributions. Work within agile teams, applying lean principles and SCRUM methodology. Key Requirements: Bachelor’s degree (preferably in Computer Science, Mathematics, Data Science, or a related field). 3–6 years of overall experience in software development and data analysis. Hands-on experience in Python for application development. Strong proficiency in SQL for data analysis and query generation. Experience with hosted environments and cloud platforms such as AWS, Azure, or similar (preferred). Ability to work independently and deliver critical projects on time. Strong problem-solving and analytical skills. Excellent communication skills and ability to work closely with others in a team environment.