Principal Data Engineer (R-18111)

Dun & Bradstreet; United States; Remote; USD 120,000 - 170,000; Full time

Job summary

Dun & Bradstreet seeks a Principal Data Engineer to lead data analysis and ensure robust data integration across systems. As a subject matter expert, you will shape the data architecture and have a direct impact on how data drives insights within the organization. This role requires extensive experience in data engineering, working with Big Data technologies and cloud platforms.

Qualifications

• 10+ years of experience in data analysis and data engineering.
• Proficient in SQL and with structured/semi-structured data formats (XML, JSON).
• Experience with Big Data platforms and building Data Warehouses and Data Lakes.

Responsibilities

• Lead data analysis efforts and advise on data element creation.
• Collaborate with business and IT teams for data integration.
• Mentor team members in data analysis best practices.

Skills

Data Analysis

SQL

Data Engineering

Cloud Platforms

Big Data Technologies

Tools

Amazon Redshift

Snowflake

Google BigQuery

ETL Pipelines

Job description

Why We Work at Dun & Bradstreet

Dun & Bradstreet combines global data and local expertise to help clients make smarter decisions. With 6,000+ people in 31 countries, we are a team of diverse thinkers and problem solvers who all share a common curiosity: to find new ways to turn data into value. If you share this curiosity and want to be part of a future-ready company, come join us! Learn more at dnb.com/careers .

As a Principal Data Engineer within the Prime & GTS team, you will play a pivotal role in shaping our data ecosystem. You will serve as the subject matter expert (SME) for data analysis and data element design, ensuring that data is accurately modeled, mapped, and integrated across systems. Your work will directly influence how data is manufactured, consumed, and trusted across the organization.

As part of the Prime & GTS team, you’ll:

• Act as thePrincipal Data Analyst SME, advising on data element creation, mapping, corrections, and operational data issues.
• Leaddata analysisefforts to understand data flows, transformations, and dependencies across systems.
• Collaborate with business units and IT teams to ensure accurate data integration and transformation.
• Review and refine data element requirements, ensuring alignment with existing architecture and minimal disruption.
• Serve as atrusted advisoron data architecture, collaborating closely with engineering teams.
• Communicate effectively with stakeholders, translating complex data concepts into actionable insights.
• Guide and mentor team members on best practices in data analysis and engineering.

About you:

• Minimum10+ years of experiencein data analysis, with a strong background in developing data schemas and engineering data elements.
• Proven expertise inSQL, and working with structured and semi-structured data formats such asXMLandJSON.
• Deep understanding ofcolumnar database architecturesand performance optimization techniques.
• Extensive experience withBig Data platformsand technologies, includingETL pipelines, and a comprehensive grasp of thedata lifecycle—from ingestion and cleansing to transformation, enrichment, and packaging.
• At least6+ years of hands-on experienceinData Engineering, including building and maintainingData Warehouses,Data Lakes, andreal-time data streamingsolutions.
• Proficiency withcloud platformssuch asGoogle Cloud Platform (GCP)andAmazon Web Services (AWS).
• Demonstrated experience working inAgile environmentsas part of a data platform or engineering team.
• Hands-on experience with modern data engineering tools and environments such asAmazon Redshift,Snowflake, andGoogle BigQuery, ideally at enterprise scale.

All Dun & Bradstreet job postings can be found at https://www.dnb.com/about-us/careers-and-people/joblistings.html and https://jobs.lever.co/dnb. Official communication from Dun & Bradstreet will come from an email address ending in @dnb.com.

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