Scribd, Inc. · 2 hours ago
Staff Data Engineer
Scribd Inc. is a company dedicated to sparking human curiosity through its diverse range of products. They are seeking a Staff Data Engineer to drive the design of core data models and pipelines, ensuring quality and scalability while mentoring engineers and shaping the long-term technical vision of the data platform.
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Responsibilities
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 Scribd’s data platform
Qualification
Required
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
Preferred
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
Benefits
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 + accessories
Learning & Development allowance
Learning & Development programs
Quarterly stipend for Wellness, WiFi, 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 (+ 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: We provide free access to best-in-class AI tools, empowering you to boost productivity, streamline workflows, and accelerate bold innovation.
Company
Scribd, Inc.
We're on a mission to spark human curiosity.
H1B Sponsorship
Scribd, Inc. has a track record of offering H1B sponsorships. Please note that this does not
guarantee sponsorship for this specific role. Below presents additional info for your
reference. (Data Powered by US Department of Labor)
Distribution of Different Job Fields Receiving Sponsorship
Represents job field similar to this job
Trends of Total Sponsorships
2025 (5)
2024 (2)
2023 (8)
2022 (3)
2021 (12)
2020 (15)
Funding
Current Stage
Late StageTotal Funding
$106.75MKey Investors
Spectrum EquityKhosla VenturesCRV
2019-11-25Series E· $58M
2015-01-02Series D· $23M
2011-01-18Series C· $12M
Recent News
2026-01-05
TechCrunch
2025-12-11
Company data provided by crunchbase