Software Engineer II

Remote, San Francisco, CA, United States, Silicon Valley, CA, United States, Austin, TX, United States • $80k - $130k

Lattice Engines


Role Locations

  • Remote
  • San Francisco, CA, United States
  • Silicon Valley, CA, United States
  • Austin, TX, United States

Compensation

$80k - $130k

Employees

501+ people

Address

1820 Gateway Dr Ste 200
San Mateo, CA, 94404-4059, 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

Role Description

Our Team:

D&B Digital is the leading player in Customer Data Platform. It builds the world’s class big-data analytics platform that has empowered Sales and Marketing professionals from Fortune 500 companies to better generate their revenues and improve their work efficiency.

The Activation team at D&B Digital is a high-impact team that delivers the direct value to the customers in an actionable way. Activation team’s mission is to build a generic platform that can generate Campaign Recommendation data and distribute the data to various Sales/Marketing Platforms in a fast, scalable, reliable and intelligent way.

The Role: This role involves working in an agile way to build the platform using the state-of-art Big Data technologies, such as Apache Spark, AWS DynamoDB, AWS Lambda, AWS SQS, AWS SNS, etc. Working closely with product management and engineering leadership to build the right solutions will be extremely important, as we build out D&B Digital's first serverless stack that will enable us to scale out to handle the rapidly increasing load on our platform.

If you appreciate real technical challenges, and learning new technologies, and you’d like to be part of the team that turns D&B Digital into the number one Customer Data Platform, come join us!

Key Requirements:

Software development experience in one or more general-purpose programming languages (preferably Java or Scala).

Must have a passion to work in fast-pace environment solving complex problems.

Knowledge of Databases design and optimization techniques.

Strong understanding of CS and programming fundamentals, such as data structures and algorithms

Ability to hit the ground running and learn/adapt quickly

Experience in Spring Framework, web technologies and distributed systems.

Experience building software in a micro-services and/or serverless architecture.

Optional Requirements:

Experience with cloud compute through AWS, Google Cloud, or Azure

Experience with Apache Spark

Experience with Hadoop, Redis, and other open-source technologies

Experience building and operating SaaS solutions, managing multitenant solutions

Education:

Must have a Bachelor's in Computer Science, Information Systems, or similar.

Master's degree is preferred but not required

About Lattice Engines

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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