Scribd, Inc.
About The Company
At Scribd (pronounced “scribbed”), our mission is to spark human curiosity. Join our team as we create a world of stories and knowledge, democratize the exchange of ideas and information, and empower collective expertise through our four products: Everand, Scribd, Slideshare, and Fable. We support a culture where our employees can be real and be bold; where we debate and commit as we embrace plot twists; and where every employee is empowered to take action as we prioritize the customer. When it comes to workplace structure, we balance individual flexibility and community connections. Scribd Flex allows employees – in partnership with their manager – to choose the daily work-style that best suits their needs. A key tenet is prioritizing intentional in-person moments to build collaboration, culture, and connection. Occasional in-person attendance is required for all Scribd employees, regardless of location. We hire for “GRIT”—the intersection of passion and perseverance toward long-term goals. The acronym defines the standards we uphold: Goals, Results, Innovation, and Team through collaboration and attitude. What You’ll Do
As a
Staff Data Engineer , you’ll be both a hands-on technical expert and a strategic leader. You’ll drive the design of core data models and pipelines in our Databricks/Delta Lake lakehouse, setting standards for quality, reliability, and scalability. You’ll own end-to-end solutions—from architecture and implementation to operations and optimization—while guiding the long-term direction of Scribd’s data ecosystem. You’ll collaborate across teams to translate complex business problems into robust data solutions and mentor engineers to help them grow. You’ll help evolve the team toward a fully governed lakehouse with fine-grained access controls and consistent lineage. You Will Design and implement core data models and pipelines that power analytics, ML, and product experiences. Implement modern data lake orchestration patterns, including medallion architectures. Architect and evolve a scalable, cost-efficient, and reliable lakehouse foundation using Databricks, Delta Lake, and Airflow. Define best practices and technical standards to improve data quality, governance, and performance across teams. Mentor engineers and foster a culture of ownership, operational excellence, and continuous learning. Shape the long-term technical vision and roadmap for Scribd’s data platform. Required Skills 8+ years of experience in data engineering, with a strong background in data architecture, data modeling, and distributed data systems. Deep expertise in Databricks, Delta Lake, Spark, and modern lakehouse technologies. Advanced proficiency in SQL and Python or Scala, including performance optimization and large-scale ETL design. Proven experience designing data models and schemas that serve multiple downstream use cases (analytics, ML, APIs). Experience implementing modern data orchestration patterns for big data use-cases, including batch and streaming workloads. Demonstrated ability to lead technical initiatives, set standards, and influence decisions across teams. Comfort owning systems end-to-end, including monitoring, reliability, and cost management. Excellent communication skills with the ability to translate technical trade-offs to both engineers and non-technical stakeholders. Desired Skills Experience with subscription, payments, or large-scale consumer data domains. Familiarity with AWS data services (S3, Glue, EMR, Kinesis) and cloud cost optimization. Knowledge of streaming architectures (Kafka, Kinesis, or similar). Experience implementing data quality, governance, and observability standards at scale. Contributions to open-source projects or thought leadership in the data engineering community. Experience operationalizing data observability through Datadog or equivalent monitoring tools. Experience working with Analytics teams to understand their requirements and translate to data products and data solutions. Compensation and Benefits
At Scribd, your base pay is one part of your total compensation package. Salary ranges are based on local cost of labor benchmarks by role, level, and location. California ranges: $167,000 to $260,500; US outside California: $137,500 to $247,500; Canada: $175,000 CAD to $231,500 CAD. This position may be eligible for equity and a comprehensive benefits package. Working at Scribd Are you based in a location where Scribd can employ you? Primary residence should be in or near one of the following cities or within reasonable commuting distance: United States (Atlanta, Austin, Boston, Dallas, Denver, Chicago, Houston, Jacksonville, Los Angeles, Miami, New York City, Phoenix, Portland, Sacramento, Salt Lake City, San Diego, San Francisco, Seattle, Washington, D.C.), Canada (Ottawa, Toronto, Vancouver), Mexico City. Benefits, Perks, And Wellbeing Benefits/perks vary by location but include healthcare coverage, 12 weeks paid parental leave, disability plans, 401k/RSP matching, onboarding stipend for home office peripherals, L&D allowances, wellness stipends, mental health resources, and more. Free Scribd subscription, referral bonuses, book benefit, sabbaticals, company events, team budgets, vacation and personal days, holidays, flexible sick time, volunteer days, and inclusive ERGs. Access to AI tools to boost productivity and innovation. Want to learn more about life at Scribd? www.linkedin.com/company/scribd/life We want our interview process to be accessible to everyone. If you need adjustments, email accommodations@scribd.com. 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 protected characteristic. We encourage people of all backgrounds to apply and contribute to Scribd’s mission.
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At Scribd (pronounced “scribbed”), our mission is to spark human curiosity. Join our team as we create a world of stories and knowledge, democratize the exchange of ideas and information, and empower collective expertise through our four products: Everand, Scribd, Slideshare, and Fable. We support a culture where our employees can be real and be bold; where we debate and commit as we embrace plot twists; and where every employee is empowered to take action as we prioritize the customer. When it comes to workplace structure, we balance individual flexibility and community connections. Scribd Flex allows employees – in partnership with their manager – to choose the daily work-style that best suits their needs. A key tenet is prioritizing intentional in-person moments to build collaboration, culture, and connection. Occasional in-person attendance is required for all Scribd employees, regardless of location. We hire for “GRIT”—the intersection of passion and perseverance toward long-term goals. The acronym defines the standards we uphold: Goals, Results, Innovation, and Team through collaboration and attitude. What You’ll Do
As a
Staff Data Engineer , you’ll be both a hands-on technical expert and a strategic leader. You’ll drive the design of core data models and pipelines in our Databricks/Delta Lake lakehouse, setting standards for quality, reliability, and scalability. You’ll own end-to-end solutions—from architecture and implementation to operations and optimization—while guiding the long-term direction of Scribd’s data ecosystem. You’ll collaborate across teams to translate complex business problems into robust data solutions and mentor engineers to help them grow. You’ll help evolve the team toward a fully governed lakehouse with fine-grained access controls and consistent lineage. You Will Design and implement core data models and pipelines that power analytics, ML, and product experiences. Implement modern data lake orchestration patterns, including medallion architectures. Architect and evolve a scalable, cost-efficient, and reliable lakehouse foundation using Databricks, Delta Lake, and Airflow. Define best practices and technical standards to improve data quality, governance, and performance across teams. Mentor engineers and foster a culture of ownership, operational excellence, and continuous learning. Shape the long-term technical vision and roadmap for Scribd’s data platform. Required Skills 8+ years of experience in data engineering, with a strong background in data architecture, data modeling, and distributed data systems. Deep expertise in Databricks, Delta Lake, Spark, and modern lakehouse technologies. Advanced proficiency in SQL and Python or Scala, including performance optimization and large-scale ETL design. Proven experience designing data models and schemas that serve multiple downstream use cases (analytics, ML, APIs). Experience implementing modern data orchestration patterns for big data use-cases, including batch and streaming workloads. Demonstrated ability to lead technical initiatives, set standards, and influence decisions across teams. Comfort owning systems end-to-end, including monitoring, reliability, and cost management. Excellent communication skills with the ability to translate technical trade-offs to both engineers and non-technical stakeholders. Desired Skills Experience with subscription, payments, or large-scale consumer data domains. Familiarity with AWS data services (S3, Glue, EMR, Kinesis) and cloud cost optimization. Knowledge of streaming architectures (Kafka, Kinesis, or similar). Experience implementing data quality, governance, and observability standards at scale. Contributions to open-source projects or thought leadership in the data engineering community. Experience operationalizing data observability through Datadog or equivalent monitoring tools. Experience working with Analytics teams to understand their requirements and translate to data products and data solutions. Compensation and Benefits
At Scribd, your base pay is one part of your total compensation package. Salary ranges are based on local cost of labor benchmarks by role, level, and location. California ranges: $167,000 to $260,500; US outside California: $137,500 to $247,500; Canada: $175,000 CAD to $231,500 CAD. This position may be eligible for equity and a comprehensive benefits package. Working at Scribd Are you based in a location where Scribd can employ you? Primary residence should be in or near one of the following cities or within reasonable commuting distance: United States (Atlanta, Austin, Boston, Dallas, Denver, Chicago, Houston, Jacksonville, Los Angeles, Miami, New York City, Phoenix, Portland, Sacramento, Salt Lake City, San Diego, San Francisco, Seattle, Washington, D.C.), Canada (Ottawa, Toronto, Vancouver), Mexico City. Benefits, Perks, And Wellbeing Benefits/perks vary by location but include healthcare coverage, 12 weeks paid parental leave, disability plans, 401k/RSP matching, onboarding stipend for home office peripherals, L&D allowances, wellness stipends, mental health resources, and more. Free Scribd subscription, referral bonuses, book benefit, sabbaticals, company events, team budgets, vacation and personal days, holidays, flexible sick time, volunteer days, and inclusive ERGs. Access to AI tools to boost productivity and innovation. Want to learn more about life at Scribd? www.linkedin.com/company/scribd/life We want our interview process to be accessible to everyone. If you need adjustments, email accommodations@scribd.com. 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 protected characteristic. We encourage people of all backgrounds to apply and contribute to Scribd’s mission.
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