Description

Job Title: Senior Data Engineer

Department: Engineering

Reporting To: Engineering Manager

Employment RFT/Exempt

Position #: 2810

About Humble Bundle:

Humble Bundle sells games, ebooks, software, and other digital content. Our mission is to support charity while providing awesome content to customers at great prices. We launched in 2010 with a single two-week Humble Indie Bundle, but we have humbly grown into a store full of games and bundles, a subscription service, a game publisher, and more. We have raised $195 million for charity and counting.

Position Intro:

Humble Bundle is hiring a Senior Data Engineer to own and improve our data pipeline and front-end analytics. Our unique approach to e-commerce is powered by highly complex data structures from a variety of sources that you will be responsible for transforming into easily-consumable tables for our Analytics team. You will partner with Analytics and Business Development to deliver sophisticated business intelligence and answer important, nuanced questions.  You'll work with Product Managers to establish and implement frontend analytics solutions, providing a clear understanding of user behavior.  And, as a member of the Engineering team, you'll act as our resident Data expert to provide guidance and direction with regards to data architecture in ongoing and future projects. This position will be a dotted-line into Analytics leadership.

Responsibilities:

• Own the entire data pipeline from our application (frontend and backend) and third party data sources to our reporting tables
• Design, implement, and maintain extensible + reusable data infrastructure
• Develop intimate knowledge and understanding of Humble Bundle's source data taxonomy; refine that complex source data to consumable business metrics
• Partner with Analytics to eliminate friction in report-building
• Evaluate and implement third party tools and vendors for data collection, modeling, and reporting

Required Experience:

• 4+ years experience working with Google data products (including BigQuery and Dataflow)
• 4+ years experience with "big data" best practices: ETLs, data warehousing, etc.
• 4+ years experience with SQL and DML, ability to write performant queries
• Hands-on experience wrangling complex data from disparate data sources
• Hands-on experience defining reusable data definitions and business metrics
• Hands-on experience dealing with large, complex data sets
• 4+ years of experience as a data engineer
• 6+ years of experience writing production code in a large, complex codebase in an agile team environment with code reviews and other software engineering best practices

Bonus Points

• Knowledge of Python and JavaScript
• Experience with NoSQL databases and/or Cloud Firestore / Datastore

Covid-19 Hiring Update: We’ve transitioned to a work-from-home model and we’re continuing to interview and hire during this time.  This is a remote position with a strong preference for candidates who can work in or have time overlap in the Pacific time zone.

We are an equal opportunity employer and value diversity at our company. All qualified applicants will receive consideration for employment without regard to race, religion, color, national origin, sex, age, status as a protected veteran, or status as a qualified individual with disability.

Pursuant to the San Francisco Fair Chance Ordinance, we will consider for employment qualified applicants with arrest and conviction records.

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