Big Data Engineer

Dun & Bradstreet has the world’s most comprehensive business data sets and analytics capabilities to power today’s most crucial business needs. That’s why 90% of the Fortune 500, and companies of all sizes around the world, rely on Dun & Bradstreet to help grow and protect their business. Our engineering teams focus on developing industry-leading, highly scalable, SaaS based applications to put this data into action. We are solving extremely intellectually interesting problems using machine learning, artificial intelligence and high-performance distributed computing.

We are looking for individuals interested in building world-class SaaS applications and solving complex challenges with one of the world’s largest B2B data sets. We have a supportive team atmosphere, using the latest technologies, and always strive to ensure D&B is the best place to learn and grow your career.

Our leading SaaS B2B Product, D&B Lattice, is an early innovator in the hottest area of big data applied to predictive marketing. We combine thousands of data signals from our customers and partners, and extract key business insights using a variety of machine learning, ranging from random forest to deep learning, to better understand business drivers behind each purchase decision. Our innovative marketing and sales application predicts: who will buy, what they are likely to buy, and when.

Building a forward-leaning culture where people come first: Now, more than ever, we're focused on building a strong and supportive culture where people feel empowered, aren't afraid to fail, bring their true selves to work, and take time to recover when needed.

A few examples:

We eliminated layers and flattened the structure of our organization so that our leaders are approachable and more in tune with our people. Our 'Sustainable High Performance' program offers resources and support to our employees in 4 key areas to support personal growth: movement, mindset, nutrition and recovery. Dress For Your Day: We evolved our approach to our dress policy. We wear what makes sense for our day.