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Data Visualization Engineer
Confirmed live in the last 24 hours
Dorchester, Boston, MA, USA
Experience Level
Desired Skills
Apache Spark
  • Successful candidates typically have a bachelor's degree in computer science, engineering, statistics, or related fields, and 2 to 3 years of industry experience including writing applications in JavaScript
  • Must be able to start the day at 10am EST and have familiarity with communication strategies and tactics for managing a distributed team
  • Deep expertise in a component framework like React, Vue, or Svelte, and experience building D3 chart components in the framework of choice
  • Professional knowledge and extensive experience in object-oriented programming as well as functional programming
  • Software development best practices including story estimation, test-driven development, code review, and version control with git
  • Fluency and practical experience with data visualization techniques including best practices and ability to rapidly prototype in languages like R, Python, or Tableau
  • Excellent written and verbal communication skills
  • Strong technical writer and documenter
  • Strong project management skills including managing complexity and making informed trade-offs to quickly escape rabbit holes and make on-time deliveries
  • Willingness to grow and work outside your comfort zone, e.g. proactively exploring new tech, identifying new ways to solve problems, and applying pragmatism to drive solutions
  • Applications with a visualization/front-end portfolio are strongly encouraged
  • Experience with Agile workflow practices and familiarity with Atlassian tools including Jira, and Confluence
  • Building data-driven software products that are fit-to-purpose, e.g. embedded visualizations and calls to action in operational software, custom solutions for clients, externally facing tools that tell a biological story
  • Delivering end-to-end data products, i.e. ability to work across the product lifecycle from exploration and discovery, to operationalization and production
  • Creating incremental value through rapid prototyping and iterative development
  • Breaking down complex technical and quantitative topics for audiences with mixed levels of technical expertise; in particular, translating technical and scientific concepts into business outcomes and recommendations is essential for success in this role
  • Storytelling with data, specifically supporting data-driven decisions with compelling visualizations
  • Translating underdefined questions into data-driven tools and processes
  • Presenting work progress, insights, and recommendations to stakeholders and senior leadership
  • Building strong partnerships with collaborators and stakeholders, influencing and collaborating at all organizational levels
  • Working effectively on a distributed team and adhering to common hours across time zones
Desired Qualifications
  • Experience with SQL, as well as NoSQL data environments and tools such as Hadoop, Spark, DynamoDB is a plus
  • Familiarity with biological data, specifically in the context of high-throughput screening is a plus
  • Familiarity with communication strategies and tactics for distributed teams is a plus
Ginkgo Bioworks

501-1,000 employees

Biological engineering products developer
Company Overview
Ginkgo Bioworks’ mission is to make biology easier to engineer. The company designs custom microorganisms for customers across multiple industries.
  • Unlimited paid time off
  • Comprehensive health and parental leave benefits
  • Flexible work options
  • Commuter benefits
  • State-of-the-art labs, work spaces, and conference rooms
  • Competitive 401K contribution
Company Core Values
  • Fostering a diverse & inclusive environment
  • Promoting individual growth & career development
  • Encouraging creativity & innovation
  • Celebrating passion & drive
  • Keeping Ginkgo weird
  • Caring how our platform is used