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.
Other Open Roles
Prior Listings
Data Engineer I
Data Engineer I
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 work to change the way the world reads by building 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 1.9 M subscribers in nearly every country worldwide.
Have you heard about our future of work program, Scribd Flex? As a key principle, we embrace flexibility and allow employees, in partnership with their manager, to choose the work-style that best suits their individual needs and preferences. And, we create intentional in-person moments with each other that build culture and connection.
About The Team
The Data Platform team builds, delivers data and tooling for Scribd customers. We deliver technologies which enable other teams to build new and better solutions. The team is remote-first and is spread across time zones ranging from Pacific Time in North America to Eastern European Time in Ukraine. As a team we empower Scribd to effectively leverage Data to deliver customer value. You will be part of a team that designs, operates and implements tooling and provide access to data that empowers our customers which includes platform engineers, business teams and other internal Stakeholders.
About the Role
•Scribd is searching for a Data Engineer I to join the Data platform team. The Data Engineer will be responsible for implementation and support of our Data systems and services.
•You will be involved in Building, troubleshooting or optimizing our business critical data pipelines and also work with our core-infra and platform teams to implement jobs to scale our consumption and processing of our large data sets
•You will work closely with other senior engineers to design and then implement and support our various Data pipelines, data models and other Infra and Platform projects around data.
•We recognize that everyone has a unique set of work and life experiences, and believe that a broader set of perspectives will produce better results for all.
•We continually strive for inclusivity and strongly value diversity. We support others' growth and celebrate our collective achievements.
•Your will directly influence how Scribd internal customers use our data to make impactful decisions
Minimum Requirements
•2-3 years experience in developing, executing, monitoring and troubleshooting Data pipelines and workflows in cloud Environment
•Ability to read and write code in one or more languages including Go, Python, Ruby, and/or Scala code
•Familiarity with Cloud and other big data and distributed data processing technologies and environments
•Strong written and verbal communication skills (we're a remote team!)
•Software development background
•Familiarity with git and common software development practices
•Ability to write tests
•Capable of reading and understanding the code in order to participate in the code review process
•Experience with CI/CD concepts and tooling
•Some SQL development Experience(any flavor)
•Ability to participate in technical design discussions within your team, and across partner teams
Desired Skills
•As a Data Engineer you have a background around data and understanding of data requirements
•An understanding of Distributed Data processing and a Distributed data warehouse
•Experience working to improve 24/7 on-call rotations, reducing alert fatigue, and improving automation
•An appetite to learn and grow professionally
•Collaborate with cross functional teams to understand data needs.
•A bonus if you have any experience working with DataBricks, Airflow or any similar Distributed Data warehouse and orchestration tooling.
Benefits, Perks, and Wellbeing at Scribd
*Benefits/perks listed may vary depending on the nature of your employment with Scribd and the geographical location where you work.
• Healthcare Insurance Coverage (Medical/Dental/Vision): 100% paid for employees
• 12 weeks paid parental leave
• Short-term/long-term disability plans
• 401k/RSP matching
• Tuition Reimbursement
• Learning & Development programs
• Quarterly stipend for Wellness, Connectivity & Comfort
• Mental Health support & resources
• Free subscription to Scribd + gift memberships for friends & family
• Referral Bonuses
• Book Benefit
• Sabbaticals
• Company wide events
• Team engagement budgets
• Vacation & Personal Days
• Paid Holidays (+ winter break)
• Flexible Sick Time
• Volunteer Day
• Company-wide Diversity, Equity, & Inclusion programs
Want to learn more about life at Scribd? www.linkedin.com/company/scribd/life
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We want our interview process to be accessible to everyone. You can inform us of any reasonable adjustments we can make to better accommodate your needs by emailing accommodations@scribd.com about the need for adjustments at any point in the interview process.
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, and believe that a diversity of perspectives and experiences create a foundation for the best ideas. Come join us in building something meaningful.
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Remote employees must have their primary residence in: Arizona, California, Connecticut, Delaware, DC, Florida, Hawaii, Iowa, Massachusetts, Michigan, Missouri, Nevada, New Jersey, New York, Ohio, Oregon, Tennessee, Texas, Utah, Vermont, Washington, Ontario (Canada), British Columbia (Canada), or Mexico. *This list may not be complete or accurate, and candidates should speak with their recruiter about their specific location for remote work.
#LI-Remote
This job is no longer open