Data Engineer I (R-18658)

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.

Must Have

• 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.
• 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.
• 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.

Good to Have

• Experience with hosted environments and cloud platforms such as AWS, Azure, or similar (preferred).
• Bachelor’s degree (preferably in Computer Science, Mathematics, Data Science, or a related field).

Why We Work at Dun & Bradstreet

Dun & Bradstreet unlocks the power of data through analytics, creating a better tomorrow. Each day, we are finding new ways to strengthen our award-winning culture and accelerate creativity, innovation and growth. Our 6,000+ global team members are passionate about what we do. We are dedicated to helping clients turn uncertainty into confidence, risk into opportunity and potential into prosperity. Bold and diverse thinkers are always welcome. Come join us! Learn more 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 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

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.

All 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.

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