Scribd
San Francisco
201-500 employees
The best audiobooks, books, and more, available anywhere. Join us on our mission to change the way the world reads.
Data Engineering Manager
Data Engineering Manager
This job is no longer open
At Scribd (pronounced “scribbed”), we believe reading is more important than ever. Join our cast of characters as we build the world’s largest and most fascinating digital library: giving subscribers access to a growing collection of ebooks, audiobooks, magazines, documents, Scribd Originals and more. In addition to works from major publishers and top authors, our community includes over 1.4M subscribers in nearly every country worldwide.
What you'll do
Data quality and integrity are two areas of focus for your work in our existing, organically-grown data infrastructure. You would be helping to grow the data engineering team which builds technology for developers to use. Developers across the organization rely on data to accomplish their goals, and you will lead the team building libraries, utilities, and services to help developers more readily access, understand, and benefit from our data. Depending on the project, this might involve collaboration with the Data Science and Content Engineering teams to identify business-critical Hive tables, or working with Core Platform to suggest better approaches for scaling streaming data sets. Almost everything you would be working on would be to increase the "customer satisfaction" for internal engineering customers of Scribd data.
Required Skills
• Strong written and verbal communication skills (we're remote!)
• Ability to develop software, whether scripts for shuffling data around, batch tasks, or stream processing units.
• Experience building and delivering high quality data systems using tools from the Hadoop or Spark ecosystem
• Mentoring skills and experience training and educating teammates or colleagues.
• Fluency with at least one dialect of SQL (MySQL and Hive preferred)
Desired Skills
• Streaming platform experience, typically based around Kafka, Spark, Storm, Beam,
• Strong understanding of AWS data platform services and their strengths/weaknesses.
• Opinions on what data integrity means and how to scale it up the organization
Benefits, Perks and Wellbeing at Scribd
• Healthcare Benefits: Scribd pays 100% of employee’s Medical, Vision, and Dental premiums and 70% of dependents
• Leaves: Paid parental leave, 100% company paid short-term/long-term disability plans, and milestone Sabbaticals
• 401k plan through Fidelity, plus company matching with no vesting period
• Diversity, Equity, & Inclusion hiring best practices
• Stock Options - every employee is an owner in Scribd!
• Generous Paid Time Off, Paid Holidays, Flexible Sick Time, Volunteer Day + office closure between Christmas Eve and New Years Day
• Referral bonuses
• Professional development: generous annual budget for our employees to attend conferences, classes, and other events
• Company-wide Diversity, Equity & Inclusion training
• Learning & Development and Coaching programs
• Monthly Wellness, Connectivity & Comfort Benefit
• Concern mental health digital platform
• Work-life balance flexibility
• Employee Resource Groups that build community and support among employees
• Company events + Scribdchats
• Free subscription to Scribd + gift memberships for friends & family
• Monthly inclusive multi-cultural celebrations & learning opportunities
Want to learn more? Check out our office and meet some of the team at www.linkedin.com/company/scribd/life
Scribd is committed to equal employment opportunity regardless of race, color, religion, national origin, gender, sexual orientation, age, marital status, veteran status, disability status, or any other characteristic protected by law.
We encourage people of all backgrounds to apply. We believe that a diversity of perspectives and experiences create a foundation for the best ideas. Come join us in building something meaningful.
This job is no longer open