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.

Data quality and integrity are two areas of focus for your work in our existing, organically-grown data infrastructure. You will assist with building tools and technology to ensure that downstream customers can have faith in the data they're consuming. Based on the project, this might involve cross-functional work with the Data Science or Content Engineering teams to troubleshoot, process, or optimize our business-critical pipelines, or working with Core Platform to implement better processing jobs for scaling our consumption of streaming data sets. Almost everything you would be working on would be to increase the "customer satisfaction" for internal customers of Scribd data.

• Strong written and verbal communication skills.

• You have at least 3 years of experience in data engineering creating or managing end-to-end data pipelines on large complex datasets.

• You have engineered scalable software using big data technologies (e.g. Hadoop, Spark, Hive, Flink, Samza, Storm, Elasticsearch, Druid, Cassandra, etc).

• Fluency with at least one dialect of SQL.

• Expertise in Scala, Java, or Python.

• You have worked on and have knowledge of Streaming platforms, typically based around Kafka.

• Strong grasp of AWS data platform services and their strengths/weaknesses.

• Strong experience using  Jira, Slack, JetBrains IDEs, Git, GitLab, GitHub, Docker, Jenkins, Terraform.

• Experience using DataBricks.

• 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

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Remote employees must have their primary residence in: Arizona, California, Colorado, Connecticut, Delaware, DC, Florida, Hawaii, Iowa, Massachusetts, Maryland, 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.