Data Engineer

Overview

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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. Scribd Flex enables flexible work styles in partnership with managers; occasional in-person attendance is required for all Scribd employees, regardless of location.

We hire for “GRIT” — the intersection of passion and perseverance towards long-term goals. The acronym outlines the standards we hold ourselves to: Goals, Results, Innovative ideas, and Team collaboration and attitude.

About The Team
Scribd’s Data Platform team builds data pipelines, storage, and developer tooling that power analytics, experimentation, ML and product features across Scribd, Everand and Slideshare. We are modernizing our data architecture for fully governed, properly-modeled data that every team can trust.

We leverage data insights to inform product development, experimentation, and subscriber engagement. You’ll join a data engineering team tackling complex challenges across three brands serving 200M+ monthly visitors and 2M paying subscribers.

As a Staff Data Engineer
, you’ll be both a hands-on technical expert and a strategic leader. You’ll design 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 to operations and optimization, mentor engineers, and help evolve a fully governed lakehouse with fine-grained access controls and lineage.

You Will

• Design and implement core data models and pipelines powering 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.
• Mentor engineers and foster a culture of ownership 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 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 for analytics, ML, and APIs.
• Experience implementing modern data orchestration patterns for batch and streaming workloads.
• 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 to translate technical trade-offs to 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 data engineering.
• Experience operationalizing data observability through Datadog or equivalent tools.
• Experience working with Analytics teams to translate requirements into data products.

Salary and Benefits:
At Scribd, base pay is part of total compensation with ranges based on location. California ranges: $167,000 - $260,500;
Outside California: $137,500 - $247,500;
Canada: CAD 175k - 231.5k. Equity, and a comprehensive…