Data Engineer

Before you read on, take a look around you. Chances are, pretty much everything you see has been shipped, often multiple times, in order to get there. E-commerce is exploding, and with it, parcel shipping is becoming a meaningful factor in a business' ability to succeed. Creating a compelling shipping experience for customers is hard but necessary.
At Shippo, our goal is to level the playing field by providing businesses access to shipping tools and terms that would not be available to them otherwise.
Shippo lowers the barriers to shipping for businesses around the world. As free and fast shipping becomes the norm, better access to shipping is a competitive advantage for businesses. Through Shippo, e-commerce businesses, marketplaces, and platforms are able to connect to multiple shipping carriers around the world from one API and dashboard. Businesses can get shipping rates, print labels, automate international documents, track shipments, and facilitate returns.
Internally, we think of Shippo as the building blocks of shipping. Shippos are a diverse set of individuals. We look for cultural and skill fit in every new person. Join us to build the foundations of something great, roll up your sleeves, and get important work done everyday. Founded in 2013, we are a proud team based out of San Francisco. Shippo’s investors include D1 Capital Partners, Bessemer Venture Partners, Union Square Ventures, Uncork Capital, VersionOne Ventures, FundersClub, and others.
About the Role
As a Data Engineer, you will develop some of the key components of the platform, collaborate with cross-functional teams to gather requirements, and build high-quality and scalable solutions powering the analytics platform and data pipelines. You will translate the UX designs into data requirements, propose designs and drive the solution with the data platform team. You will also create BI reports and dashboards for our customer analytics platform.

Responsibilities

• Partner with product to understand business needs and act as a liaison between product and data platform team to determine data infrastructure requirements
• Gather and process raw, structured, semi-structured, and unstructured data using batch and real-time data processing frameworks
• Ensure data quality and flexibility of access
• Analyze and transform data into relevant and more broadly usable aggregations
• Provide advice in the usage, visualization, and interpretation of data
• Install, maintain, monitor, and support business intelligence and data analytics tools
• Engage with Data Scientists in challenging and sometimes ambiguous projects

Requirements

• 4+ years industry experience in the field of data 
• Proven experience designing and implementing scalable, performant data pipelines, data services, and data products
• Programming experience in building high quality software
• Experience working with AWS data technologies (Redshift, S3, EMR, Athena, Glue etc.,).
• Experience using SQL and Python
• Ability to work with noisy, dirty and unstructured data to cleanse, scrape and convert it into structured data 
• Experience building reports using tools like Tableau, Looker 
• Demonstrate ability to work well independently and within a fast-paced, collaborative environment
• Knowledge in engineering machine learning is a plus

Benefits

• Benefits: medical, dental, vision, (90% covered by the company, incl. dependents), and pets coverage
• Flexible PTO + work hours
• Dog are welcomed in the office
• 3 VTO days for ShippoCares volunteering events
• $2,500 yearly learning stipend for your personal growth
• Free lunch / drinks / snacks
• Fun team events outside of work hours - happy hours, “escape room” adventures, hikes, and more!