Full Stack Data Engineer (R-19648)

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 Full Stack Data Engineer is responsible for designing, developing, supporting, and enhancing Trade Operations applications, data pipelines, and cloud-based services that power the end-to-end Trade data lifecycle. This role combines software engineering, data engineering, cloud technologies, and operational support to ensure Trade data is processed accurately, securely, and efficiently from ingestion through product delivery. The engineer will partner closely with Trade Operations Analysts and Technology teams to build scalable solutions, automate manual processes, improve data quality, modernize legacy platforms, and support strategic initiatives such as market onboarding, cloud migration, and AI-driven process improvements. Key Responsibilities: Design, develop, and maintain scalable data pipelines and ETL processes. Monitor and troubleshoot data workflows to ensure data quality, availability, and performance. Automate manual processes and develop innovative data tools. Evaluate and implement recent technology solutions, end-to-end process ownership. Communicate with stakeholders Conduct knowledge exchange sessions with technical and non-technical audiences. Build new analytical processes, provide insight to data quality issues and implement data quality improvement processes. Research and implement modern data mastering techniques to increase derived insight on disparate data sources. Support other data engineers with design of ETL processes, code reviews, and knowledge sharing. Develop and maintain data documentation, including data dictionaries, data flow diagrams, and data lineage. Key Skills: 6+ years of experience in data engineering or a related field. Bachelor's degree in computer science, Information Technology, or a related discipline. Strong proficiency in SQL and hands-on experience with at least one programming language such as PHP, Python, or Java. Ability to utilize the network, applications, operating system monitoring and troubleshooting. Take ownership of existing applications for further development/improvements Work closely with related groups to ensure business continuity A self-motivated learner with strong customer focus and with quality Logical with very strong problem-solving skills Strong understanding of data modeling, data warehousing, and database design Experience with hosted environments AWS/Azure/GCP or other cloud service providers Analytical skills and able to perform analysis on code bases to increase performance. Strong team player with excellent listening and communication skills Fluent English written and verbal Results oriented, flexible with an enthusiastic approach Ability to respond quickly to Customer demands and market conditions. 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.