WHAT IS BOX?

Box is the market leader for Cloud Content Management. Our mission is to power how the world works together. Box is partnering with enterprise organizations to accelerate their digital transformation by creating a single platform for secure content management, collaboration and workflow. We have an amazing opportunity to further establish ourselves as leaders in the space, and we need strong advocates to help us achieve that goal. By joining Box, you will have the unique opportunity to help capture a majority of this developing market and define what content management looks like for the digital enterprise. Today, Box powers 100,000+ businesses, including many top Fortune 500 companies who trust our secure collaboration platform to manage the entire content lifecycle.

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

Box lives its values, with community and in-person collaboration being a core part of our culture. Boxers are expected to work from their assigned office a minimum of 2 days per week, with a focus on Tuesdays and Thursdays. Your Recruiter will share more about how we work and company culture during the hiring process.

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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Senior Data Engineer

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