Principal BE Software Engineer - D&B Connect

Remote • $150k - $190k • 0.0% - 0.0%

Dun & Bradstreet


Role Location

  • Remote

Compensation

  • $150k - $190k
  • 0.0% - 0.0%

Employees

501+ people

Address

1820 Gateway Dr Ste 200
San Mateo, CA, 94404, US

Tech Stack

  • Redshift
  • Redis
  • Zookeeper
  • Kafka
  • Akka
  • DynamoDB
  • Docker
  • Node.js
  • Numpy
  • SciPy
  • Scikit-Learn
  • Tensorflow
  • Hadoop
  • Cascading
  • AWS
  • React
  • Apache Spark
  • Neptune
  • Java
  • Spring MVC
  • Terraform
  • MySQL
  • JavaScript
  • TypeScript
  • GraphQL
  • Selenium
  • Puppet
  • Scala

Role Description

** Role Description ** D&B Connect is the flagship product at Dun & Bradstreet for providing data management services to our extensive customer base. D&B Connect is responsible for connecting customer and D&B data together and providing analytics and insights for solving business to business problems in the Sales, Marketing, Finance, Risk, Compliance, and Master Data spaces. D&B Connect is responsible for over a $100M in revenue and this is a unique chance for a junior engineer to play a pivotal role in a crucial team. We are looking for software engineers with a passion for data to join our team to help us build state-of-the-art Software-as-a-Service (SaaS) solutions in the Cloud.

** Team Description ** D&B Connect is organized as 3 interlocking scrum teams working on interconnected projects using the Agile software development framework. We are developing modules to integrate with 3rd party data stores such as Salesforce CRM, Microsoft Dynamics CRM, and Adobe Marketo MAP. We are building batch and realtime data solutions and extensions to the main module. Finally, we are crafting data stewardship and management modules to allow customers to curate the best quality data to solve their business problems. The team is distributed across the US North East (Boston, Connecticut, and New York); Austin, Texas; and the San Francisco Bay Area; with supporting teams in Mexico City, Mexico and Beijing, China.

** Role Responsibilities** - Program and conduct code reviews in Java and Scala. - Build scalable RESTful and CRUD micro service APIs. - Define SQL and noSQL databases and create interfaces between the micro services, data pipelines, and the data storage layer. - Connect the API layer and micro services to the JavaScript React front end and back end data pipelines. - Design and develop big data pipelines, specifically for ETL (Extract, Transform, and Load) and analytics applications. - Write MapReduce/Hadoop/Cascading/Flink/Spark-based massively parallel data processing jobs. - Collaborate with a highly cross-functional team of Product Managers, Project Managers, UX Designers, UI Software Engineers, DevOps, SysOps, Software Architects, and other Back End Engineers.

About Dun & Bradstreet

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.

Company Culture

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.

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