WHAT IS BOX?
Box is the world's leading Content Cloud. We are trusted by more than 115K organizations around the world today, including nearly 70% of the Fortune 500 and leaders across deeply regulated industries (such as AstraZeneca, JLL, and Nationwide), to protect their data, fuel collaboration, and power critical workflows with secure, enterprise AI.
By joining Box, you will have the unique opportunity to continue driving our platform forward. Content powers how we work. It's the billions of files and information flowing across teams, departments, and key business processes every single day: contracts, invoices, employee records, financials, product specs, marketing assets, and more. Our mission is to bring intelligence to the world of content management and empower our customers to completely transform workflows across their organizations. With the combination of AI and enterprise content, the opportunity has never been greater to transform how the world works together and at Box you will be on the front lines of this massive shift.
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Founded in 2005, Box is headquartered in Redwood City, CA, and we have offices across the United States, Europe, and Asia.
WHY BOX NEEDS YOU
Data Engineering initiative inside box is expanding and this role will help build the data platform engineering features and capabilities of the cloud cost management platform.
In this role you will be working alongside our team building data pipelines, support our product and analytics team members, data analysts and data scientists on data initiatives and will ensure optimal data delivery architecture is consistent throughout ongoing projects.
WHAT YOU'LL DO
- Work with a team of high-performing data engineers and analysts to identify business opportunities, design and build scalable data solutions
- Build and own data pipelines that clean, transform, and aggregate data from disparate sources
- Create and maintain optimal data pipeline architecture
- Assemble large, complex data sets that meet functional / non-functional business requirements
- Identify, design, and implement internal process improvements: automating manual processes, optimizing data delivery, re-designing infrastructure for greater scalability
- Build the infrastructure required for optimal extraction, transformation, and loading of data from a wide variety of data sources using GCP BigQuery and Spark
- Build analytics tools that utilize the data pipeline to provide actionable insights into operational efficiency and other key business performance metrics
- Work with stakeholders including the Executive, Product, Data and Design teams to assist with data-related technical issues and support their data infrastructure needs
- Create data tools for analytics and data scientist team members that assist them in building and optimizing our product into an innovative industry leader
- Influence across teams and other functions, build best practices across the organization
WHO YOU ARE
- 5+ Years of relevant industry or relevant academia experience working with large amounts of data
- Experience building and optimizing scalable data pipelines, architectures and data sets
- Be cognizant of emerging technology trends and find adoption opportunities to improve existing development processes
- Expert in SQL
- Experience with at least one of the programming languages: Scala, Java
- Experience with scripting language: Python, NodeJS
- Experience with GCP (BigQuery, Dataproc, Dataflow/Fusion)
- Experience with big data tools: Hadoop, Spark, Kafka, etc
- Strong analytic skills related to working with structured and unstructured datasets
- Experience supporting and working with cross-functional teams in a dynamic environment
- Familiarity with Virtualization/container abstractions and orchestration (Kubernetes, Docker, etc.)
- Familiarity with Visualization software: Tableau
- Familiarity with frontend web framework: React
EQUAL OPPORTUNITY
We are an equal opportunity employer and value diversity at our company. We do not discriminate on the basis of race, religion, color, national origin, gender, sexual orientation, age, marital status, veteran status, disability, and any other protected ground of discrimination under applicable human rights legislation.
For details on how we protect your information when you apply, please see our Personnel Privacy Notice .
For more details on how Box Poland protects your information, please see our Supplemental Personnel and Candidate Privacy Notice .
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