Über
Staff Data Engineer
role at
Scribd, Inc. About The Company
At Scribd (pronounced scribbed), our mission is to spark human curiosity. 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 believe in balancing individual flexibility and community connections. Its through our flexible work benefit, Scribd Flex, that employees in partnership with their manager can choose the daily work?style that best suits their individual needs. A key tenet of Scribd Flex is our prioritization of intentional in?person moments to build collaboration, culture, and connection. For this reason, occasional in?person attendance is required for all Scribd employees, regardless of their location. We hire for GRIT. We define GRIT as demonstrating the intersection of passion and perseverance toward long?term goals. In a tactical sense, GRIT is an acronym that outlines the standards we hold ourselves and each other to. Were looking for someone who showcases the ability to set and achieve
G oals,
R esults,
I nnovative ideas, and a positive
T eam influence. About The Team
Scribds Data Platform team builds the data pipelines, storage layers, and developer tooling that power analytics, experimentation, ML, and product features across Scribd, Everand, and Slideshare. Were midway through a multi?year investment to modernize our data architecture for a fully governed, properly?modeled data set that every team can trust and build upon. At Scribd, we leverage deep data insights to inform every aspect of our businessfrom product development and experimentation to understanding subscriber engagement and key metrics. Youll join a data engineering team tackling complex challenges within a rich domain spanning three brands that serve over 200?million monthly visitors and 2?million paying subscribers. This is a high?impact opportunity to shape Scribds next?generation data platform and elevate our engineering practices to a world?class standard. What Youll Do
As a
Staff Data Engineer , youll be both a hands?on technical expert and a strategic leader. Youll drive the design of core data models and pipelines in our Databricks/Delta Lake lakehouse, setting the standards for quality, reliability, and scalability across the platform. Youll own end?to?end solutions, from architecture and implementation to operations and optimization, while helping guide the long?term direction of Scribds data ecosystem. Youll collaborate across teams to turn complex business problems into robust data solutions, and youll mentor engineers to help them grow and deliver at a higher level. Youll help the team evolve 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 that 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 Scribds 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
In the United States, within California, the reasonably expected salary range is between $167,000 and $260,500. Outside California, the range is between $137,500 and $247,500. In Canada, the range is between $175,000?CAD and $231,500?CAD. The base pay is one part of your total compensation package and may be adjusted based on experience and other factors. This position is also eligible for competitive equity ownership and a comprehensive benefits package. Working at Scribd, Inc. Location Eligibility
Employees must have their primary residence in or near one of the following cities: 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: Mexico City
Benefits, Perks, And Wellbeing At Scribd
Healthcare Insurance Coverage (Medical/Dental/Vision): 100% paid for employees 12 weeks paid parental leave Short?term/Long?term disability plans 401k/RSP matching Onboarding stipend for home office peripherals and accessories Learning & Development allowance Learning & Development programs Quarterly stipend for wellness, Wi?Fi, etc. Mental health support & resources Free subscription to the Scribd Inc. suite of products Referral bonuses Book benefit Sabbaticals Company?wide events Team engagement budgets Vacation & personal days Paid holidays (including winter break) Flexible sick time Volunteer day Company?wide Employee Resource Groups and programs that foster an inclusive and diverse workplace Access to AI tools: free access to best?in?class AI tools empowers productivity and innovation
Commitment to Equal Opportunity
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. Seniority Level
Mid?Senior level Employment Type
Full-time Job Function
Information Technology Industry
Software Development #J-18808-Ljbffr
Sprachkenntnisse
- English
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