{"schemaVersion":"jobsearcher.job.v1","id":"d4894cf23ddd0ed0d1c84990","url":"https://jobsearcher.com/jobs/d4894cf23ddd0ed0d1c84990","canonicalUrl":"https://jobsearcher.com/jobs/d4894cf23ddd0ed0d1c84990","title":"Staff Data Engineer","description":"Scribd, Inc. is on a mission to advance human understanding. Our four products — Scribd, Slideshare, Everand™, and Fable — help billions of people across the globe move beyond access and into insight, application, and expertise.\r\nCulture at Scribd, Inc.\r\nWe 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.\r\nWe believe the best work happens when individual flexibility is balanced with meaningful community connection. Scribd Flex empowers employees to choose the workstyle and location that support their best performance, while committing to intentional in-person moments that strengthen collaboration and culture. Occasional in-person attendance is required for all Scribd, Inc. employees, regardless of location.\r\nSo what are we looking for in new team members? At Scribd, Inc., we hire for \"GRIT.\" Traditionally defined as the intersection of passion and perseverance toward long-term goals, GRIT reflects the mindset we expect from every employee. For us, it also serves as a practical framework for how we work: setting and achieving goals, delivering results within your role, contributing innovative ideas and solutions, and strengthening the broader team through collaboration and attitude.\r\nThis posting reflects an approved, open position within the organization.\r\nAbout The Team\r\nScribd's Data Platform team builds and governs the analytical data models and transformation layers that power trusted metrics, experimentation, ML and product insights across Scribd, Everand and Slideshare. We're midway through a multi-year investment to modernize our data architecture for fully governed, properly-modeled data that every team can trust and build upon.\r\nAt Scribd, we leverage deep data insights to inform every aspect of our business—from product development and experimentation to understanding subscriber engagement and key metrics. You'll 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 Scribd's next-generation data platform and elevate our engineering practices to a world-class standard.\r\nWhat You'll Do\r\nAs 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 the standards for quality, reliability, and scalability across the platform.\r\nYou'll own end-to-end solutions, from architecture and implementation to operations and optimization, while helping guide the long-term direction of Scribd's data ecosystem. You'll collaborate across teams to turn complex business problems into robust data solutions, and you'll mentor engineers to help them grow and deliver at a higher level. You'll help the team evolve toward a fully governed lakehouse with fine-grained access controls and consistent lineage.\r\nYou Will\r\nDesign and own canonical analytical data models, defining grain, keys, and relationships that power Scribd's enterprise metrics and reporting.\r\nImplement modern data lake orchestration patterns, including medallion architectures.\r\nDesign and evolve scalable analytical data structures and transformation layers in Databricks/Delta Lake, ensuring correctness, performance, and clarity of modeled datasets.\r\nDefine and enforce data modeling standards (grain definition, fact vs. dimension design, key strategy, naming conventions) that ensure analytical correctness and prevent metric ambiguity.\r\nMentor engineers and foster a culture of ownership, operational excellence, and continuous learning.\r\nShape the long-term technical vision and roadmap for Scribd's data platform.\r\nRequired Skills\r\n8+ years of experience in data engineering, with a strong background in data architecture, data modeling, and distributed data systems.\r\nDeep expertise in Databricks, Delta Lake, Spark, and modern lakehouse technologies.\r\nAdvanced SQL expertise required—including complex joins, aggregations, window functions, CTEs, query optimization, and reasoning about data at different levels of aggregation.\r\nDeep experience designing dimensional and analytical data models and owning metrics across domains (analytics, ML, APIs).\r\nExperience designing reliable transformation workflows that maintain consistent data and business logic across batch and streaming pipelines.\r\nDemonstrated ability to lead technical initiatives, set standards, and influence decisions across teams.\r\nComfort owning systems end-to-end, including monitoring, reliability, and cost management.\r\nExcellent communication skills with the ability to translate technical trade-offs to both engineers and non-technical stakeholders.\r\nThis role requires hands-on data modeling and SQL fluency; it is not a platform-only or infrastructure-focused position.\r\nDesired Skills\r\nExperience with subscription, payments, or large-scale consumer data domains.\r\nFamiliarity with AWS data services (S3, Glue, EMR, Kinesis) and cloud cost optimization.\r\nKnowledge of streaming architectures (Kafka, Kinesis, or similar).\r\nExperience implementing data quality, governance, and observability standards at scale.\r\nContributions to open-source projects or thought leadership in the data engineering community.\r\nExperience operationalizing data observability through Datadog or equivalent monitoring tools.\r\nExperience working with Analytics teams to understand their requirements and translate to data products and data solutions.\r\nSalary Range\r\nIn the state of California, the reasonably expected salary range is between $167,000 [minimum salary in our lowest geographic market within California] to $260,500 [maximum salary in our highest geographic market within California].\r\nIn the United States, outside of California, the reasonably expected salary range is between $137,500 [minimum salary in our lowest US geographic market outside of California] to $247,500 [maximum salary in our highest US geographic market outside of California].\r\nIn Canada, the reasonably expected salary range is between $175,000 CAD [minimum salary in our lowest geographic market] to $231,500 CAD [maximum salary in our highest geographic market].\r\nWorking at Scribd, Inc.\r\nAre you currently based in a location where Scribd, Inc. can employ you?\r\nEmployees must have their primary residence in or near one of the following cities. This includes surrounding metro areas or locations within a typical commuting distance:\r\nUnited States\r\nAtlanta | 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.\r\nCanada\r\nOttawa | Toronto | Vancouver\r\nMexico\r\nMexico City\r\nBenefits At Scribd, Inc.\r\nScribd Flex (flexible work model)\r\nComprehensive health, dental, and vision coverage\r\nMental health support and disability coverage\r\nGenerous paid time off, including vacation, sick time, holidays, winter break, volunteer time, and sabbaticals\r\nPaid parental leave and family support benefits\r\nRetirement matching and employee equity\r\nLearning and development programs and professional growth opportunities\r\nWellness and home office stipends\r\nComplimentary access to the Scribd, Inc. suite of products\r\nEnterprise access to leading AI tools\r\nGet to Know Scribd, Inc.\r\nWe 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.\r\nScribd, Inc. 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.\r\nJ-18808-Ljbffr","company":"Scribd","rawCompany":"scribd","city":"Doral","state":"FL","isRemote":false,"isActive":false,"createdAt":"2026-04-10T04:52:52.673Z","occupations":[{"code":"15-1243.01","title":"Data Warehousing Specialists","slug":"data-warehousing-specialists"},{"code":"15-2051.00","title":"Data Scientists","slug":"data-scientists"},{"code":"15-1243.00","title":"Database Architects","slug":"database-architects"}],"industries":[{"code":"513210","title":"Software Publishers","slug":"software-publishers"},{"code":"541512","title":"Computer Systems Design Services","slug":"computer-systems-design-services"},{"code":"541511","title":"Custom Computer Programming Services","slug":"custom-computer-programming-services"}],"jobPosting":{"@context":"https://schema.org","@type":"JobPosting","title":"Staff Data Engineer","description":"Scribd, Inc. is on a mission to advance human understanding. Our four products — Scribd, Slideshare, Everand™, and Fable — help billions of people across the globe move beyond access and into insight, application, and expertise.\r\nCulture at Scribd, Inc.\r\nWe 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.\r\nWe believe the best work happens when individual flexibility is balanced with meaningful community connection. Scribd Flex empowers employees to choose the workstyle and location that support their best performance, while committing to intentional in-person moments that strengthen collaboration and culture. Occasional in-person attendance is required for all Scribd, Inc. employees, regardless of location.\r\nSo what are we looking for in new team members? At Scribd, Inc., we hire for \"GRIT.\" Traditionally defined as the intersection of passion and perseverance toward long-term goals, GRIT reflects the mindset we expect from every employee. For us, it also serves as a practical framework for how we work: setting and achieving goals, delivering results within your role, contributing innovative ideas and solutions, and strengthening the broader team through collaboration and attitude.\r\nThis posting reflects an approved, open position within the organization.\r\nAbout The Team\r\nScribd's Data Platform team builds and governs the analytical data models and transformation layers that power trusted metrics, experimentation, ML and product insights across Scribd, Everand and Slideshare. We're midway through a multi-year investment to modernize our data architecture for fully governed, properly-modeled data that every team can trust and build upon.\r\nAt Scribd, we leverage deep data insights to inform every aspect of our business—from product development and experimentation to understanding subscriber engagement and key metrics. You'll 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 Scribd's next-generation data platform and elevate our engineering practices to a world-class standard.\r\nWhat You'll Do\r\nAs 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 the standards for quality, reliability, and scalability across the platform.\r\nYou'll own end-to-end solutions, from architecture and implementation to operations and optimization, while helping guide the long-term direction of Scribd's data ecosystem. You'll collaborate across teams to turn complex business problems into robust data solutions, and you'll mentor engineers to help them grow and deliver at a higher level. You'll help the team evolve toward a fully governed lakehouse with fine-grained access controls and consistent lineage.\r\nYou Will\r\nDesign and own canonical analytical data models, defining grain, keys, and relationships that power Scribd's enterprise metrics and reporting.\r\nImplement modern data lake orchestration patterns, including medallion architectures.\r\nDesign and evolve scalable analytical data structures and transformation layers in Databricks/Delta Lake, ensuring correctness, performance, and clarity of modeled datasets.\r\nDefine and enforce data modeling standards (grain definition, fact vs. dimension design, key strategy, naming conventions) that ensure analytical correctness and prevent metric ambiguity.\r\nMentor engineers and foster a culture of ownership, operational excellence, and continuous learning.\r\nShape the long-term technical vision and roadmap for Scribd's data platform.\r\nRequired Skills\r\n8+ years of experience in data engineering, with a strong background in data architecture, data modeling, and distributed data systems.\r\nDeep expertise in Databricks, Delta Lake, Spark, and modern lakehouse technologies.\r\nAdvanced SQL expertise required—including complex joins, aggregations, window functions, CTEs, query optimization, and reasoning about data at different levels of aggregation.\r\nDeep experience designing dimensional and analytical data models and owning metrics across domains (analytics, ML, APIs).\r\nExperience designing reliable transformation workflows that maintain consistent data and business logic across batch and streaming pipelines.\r\nDemonstrated ability to lead technical initiatives, set standards, and influence decisions across teams.\r\nComfort owning systems end-to-end, including monitoring, reliability, and cost management.\r\nExcellent communication skills with the ability to translate technical trade-offs to both engineers and non-technical stakeholders.\r\nThis role requires hands-on data modeling and SQL fluency; it is not a platform-only or infrastructure-focused position.\r\nDesired Skills\r\nExperience with subscription, payments, or large-scale consumer data domains.\r\nFamiliarity with AWS data services (S3, Glue, EMR, Kinesis) and cloud cost optimization.\r\nKnowledge of streaming architectures (Kafka, Kinesis, or similar).\r\nExperience implementing data quality, governance, and observability standards at scale.\r\nContributions to open-source projects or thought leadership in the data engineering community.\r\nExperience operationalizing data observability through Datadog or equivalent monitoring tools.\r\nExperience working with Analytics teams to understand their requirements and translate to data products and data solutions.\r\nSalary Range\r\nIn the state of California, the reasonably expected salary range is between $167,000 [minimum salary in our lowest geographic market within California] to $260,500 [maximum salary in our highest geographic market within California].\r\nIn the United States, outside of California, the reasonably expected salary range is between $137,500 [minimum salary in our lowest US geographic market outside of California] to $247,500 [maximum salary in our highest US geographic market outside of California].\r\nIn Canada, the reasonably expected salary range is between $175,000 CAD [minimum salary in our lowest geographic market] to $231,500 CAD [maximum salary in our highest geographic market].\r\nWorking at Scribd, Inc.\r\nAre you currently based in a location where Scribd, Inc. can employ you?\r\nEmployees must have their primary residence in or near one of the following cities. This includes surrounding metro areas or locations within a typical commuting distance:\r\nUnited States\r\nAtlanta | 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.\r\nCanada\r\nOttawa | Toronto | Vancouver\r\nMexico\r\nMexico City\r\nBenefits At Scribd, Inc.\r\nScribd Flex (flexible work model)\r\nComprehensive health, dental, and vision coverage\r\nMental health support and disability coverage\r\nGenerous paid time off, including vacation, sick time, holidays, winter break, volunteer time, and sabbaticals\r\nPaid parental leave and family support benefits\r\nRetirement matching and employee equity\r\nLearning and development programs and professional growth opportunities\r\nWellness and home office stipends\r\nComplimentary access to the Scribd, Inc. suite of products\r\nEnterprise access to leading AI tools\r\nGet to Know Scribd, Inc.\r\nWe 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.\r\nScribd, Inc. 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.\r\nJ-18808-Ljbffr","datePosted":"2026-04-10T04:52:52.673Z","dateModified":"2026-04-10T04:52:52.673Z","hiringOrganization":{"@type":"Organization","name":"Scribd","sameAs":"https://jobsearcher.com"},"jobLocation":{"@type":"Place","address":{"@type":"PostalAddress","addressLocality":"Doral","addressRegion":"FL","addressCountry":"US"}},"identifier":{"@type":"PropertyValue","name":"JobSearcher","value":"d4894cf23ddd0ed0d1c84990"},"url":"https://jobsearcher.com/jobs/d4894cf23ddd0ed0d1c84990"}}