Principal, Systems Engineer (R-18971)

Dun & Bradstreet•Florham Park, NJ

About The Position

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. Weâre a diverse, global team that values creativity, collaboration, and bold ideas. Are you ready to make an impact and help shape whatâs next? Join us! Explore opportunities at dnb.com/careers. The Principal, Systems Engineer owns and runs the enterprise-grade IP-to-DUNS mapping capability that underpins core customer deliverables and multiple downstream product lines. The Principal, Systems Engineer is accountable for reliable execution: operating and improving existing pipelines, maintaining mapping quality through internet churn, and ensuring secure, stable infrastructure. The Principal, Systems Engineer works closely with product, data science, and customer teams, provides task-level guidance to junior analysts supporting mapping validation and quality operations, and supports evaluation of third-party IP-to-business data sources from both technical and commercial perspectives

Requirements

7+ years of experience in cloud infrastructure, network/systems engineering, or adjacent disciplines.
Experience with Terraform or other provisioning/infrastructure-as-code frameworks.
Strong programming and automation skills (Python required; Go/Rust/Bash a plus) with experience building or running resilient data pipelines.
Strong working knowledge of SQL (preferably PostgreSQL) language, filtering, merging, and function development techniques.
Experience deploying, operating, and securing workloads to Google Cloud Platform (GCP).
Strong working knowledge of ASNs, BGP, DNS, routing behavior, IP geolocation concepts, and global internet topology, applied to real production systems.

Responsibilities

Own the end-to-end technical execution of the IP-to-DUNS mapping lifecycle, including data ingestion, normalization, validation, enrichment, quality control, and delivery packaging.
Produce high-quality IP-to-business attribution by combining internet-layer signals (e.g., BGP/ASN changes, DNS patterns, hosting footprints, OSINT sources, routing shifts) and applying well-defined rules to resolve conflicting signals while maintaining mapping stability.
Define, apply, and enforce data-quality standards for internet-signal-based entity resolution to ensure stable, DUNS-aligned outputs for downstream consumers, including product pipelines and risk or fraud use cases.
Operate, monitor, and continuously improve automated pipelines that refresh IP attribution and entity resolution at scale, focusing on accuracy, latency, reliability, and recoverability.
Maintain systems that track IP block changes and infrastructure volatility (e.g., routing, BGP, ASN shifts, and related signals) to keep the IP-to-DUNS mapping asset current.
Deploy, operate, and tune internet-facing infrastructure across bare-metal and VPS environments, as well as data engineering workloads on Google Cloud Platform.
Write, review, and maintain data-processing and automation code (primarily Python, with Go, Rust, or Bash as a plus) following coding standards and operational best practices.
Implement and uphold operational security controls across infrastructure and pipelines, including secure configurations, least-privilege access, encryption, network segmentation, and audit logging.
Design and operate testing frameworks, benchmarking, quality gates, and observability to evaluate third-party IP intelligence vendors, protect mapping integrity, and support incident response and troubleshooting.
Provide task-level leadership and subject-matter guidance to junior engineers and analysts, establishing clear workflows, documentation, prioritization, and contributing as a domain partner on related internet-domain efforts