Dun & Bradstreet is looking to support the development and operation of IP-to-business mapping capabilities that power customer deliverables and downstream applications.
Requirements
- Working knowledge of IP addressing, ASNs, BGP basics, DNS, and internet routing concepts.
- Hands-on experience provisioning and operating servers in hosted or VPS environments.
- Strong scripting and programming skills, especially Python; familiarity with Bash required.
- Familiarity with data pipelines, large datasets, and automation workflows.
- Understanding of operational security fundamentals for internet-facing systems.
- Ability to follow architectural guidance while independently executing and delivering reliable systems.
- Ability to interface independently with stakeholders across the business, including those without deep technical background.
Responsibilities
- Support the build, operation, and maintenance of the IP-to-DUNS mapping pipeline, including ingestion, normalization, enrichment, validation, and delivery.
- Implement automated workflows that generate refreshed IP-to-business mappings at scale.
- Analyze internet-layer signals (BGP/ASN changes, DNS behavior, hosting patterns, dynamic IP ranges, OSINT inputs) and apply established attribution logic.
- Monitor global IP block changes and routing shifts and help incorporate updates into mapping outputs.
- Assist in evaluating third-party IP-to-business data feeds by analyzing coverage, accuracy, latency, and cost-effectiveness.
- Build scripts and tools to test, benchmark, and monitor data quality and pipeline performance.
- Operate and help optimize internet-facing infrastructure across OVH, Vultr, and similar hosting environments.
Other
- Bachelor’s Degree in; Information Systems, Computer Science, Mathematics, Statistics, Economics or a related field.
- Master’s Degree preferred.
- 5+ years of experience in systems engineering, internet infrastructure, IP intelligence, or related technical roles.
- Execution-oriented mindset with the ability to navigate ambiguity, prioritize effectively, and deliver reliable outcomes under tight timelines.
- Strong analytical and troubleshooting skills.
