Join us to build the foundations of something hard yet meaningful, roll up your sleeves, and get important work done everyday. Founded in 2013, and funded by top-tier investors likeD1 Capital Partners, Bessemer Venture Partners, Union Square Ventures, Uncork Capital, VersionOne Ventures, FundersClub, we are a fast-growing and proudly distributed Unicorn with hubs in San Francisco and Austin. We are also featured in Wealthfront’s Career Launching List  and Forbes’ Cloud 100 list of fast growing startups.

In our quest to democratize shipping expertise to businesses of all sizes, one of our core beliefs is that data will play an essential role. Shippo sits at the nexus of several critical data sources -- including online store and consumer purchase data, carrier data like on-time delivery rates and transit time, and fulfillment process data across hundreds of thousands of merchants, hundreds of millions of orders and billions in merchandise value. 

On the foundation of this rich data, we aim to build a suite of products to help merchants of all sizes effortlessly optimize every aspect of their shipping operations and better support their end-customer expectations. Some examples of potential optimizations include more accurate ETA predictions of shipments across the world, dynamically adjusting service levels to ensure packages arrive on time no matter the conditions and ensuring packages are optimally sized to be more cost efficient and environmentally friendly.

Intelligence is a brand new group at Shippo and so we are looking for an entrepreneurial data engineer who is excited about building data-powered products from scratch. This is a unique “zero to one” opportunity to build a strategically crucial product suite within a rapidly-growing well-funded organization.

As our founding Data Engineer, you will work on everything from designing systems and processes to improve data quality and availability, to building highly reliable and scalable data pipelines that power both analytical APIs consumed by external merchants as well as in-product optimizations. Beyond the specifics, we are looking for someone who has a passion for data and data-powered products, and who is willing to roll up their sleeves to scrappily build things as they are required with high autonomy.

Responsibilities

• Bring passion and technical expertise to be a key partner for Product in discovering ways to leverage Shippo’s data to unlock value for customers.
• Build and maintain pipelines to process data of different levels of structuredness using batch and real-time data processing frameworks.
• Design systems and organizational processes to ensure quality and availability of data.
• Address customers’ analytics/reporting needs but also take initiative to productize them.

Requirements (We encourage you to apply even if you don’t tick all the boxes below.)

• 4+ years industry experience as a data engineer or equivalent.
• Proven experience designing and implementing scalable, performant data pipelines, data services, and data products.
• Experience working with AWS data technologies (Redshift, S3, EMR, Athena, Glue etc.,).
• Experience using SQL and Python.
• Experience building reports using tools like Tableau, Looker.
• Demonstrated ability to work well independently and within a fast-paced, collaborative environment.
• Knowledge in engineering machine learning pipelines is a plus.

Medical, dental, and vision healthcare coverage for you and your dependents. Pets coverage is also available!

Flexible policy for PTO and work arrangement

3 VTO days for ShippoCares volunteering events

$2,500 annual learning stipend for your personal and professional growth

Charity donation match up to $100

Free daily catered lunch, drinks, and snacks

Fun team events outside of work hours - happy hours, “escape room” adventures, hikes, and more!