Scribe · 2 months ago
Senior Data Engineer, Analytics
Scribe is a rapidly growing company that provides a Workflow AI platform to optimize workflows for over 5 million users and Fortune 500 customers. They are seeking a Senior Data Engineer to build and maintain scalable data infrastructure that supports analytics and decision-making across various business domains.
Artificial Intelligence (AI)InternetProductivity ToolsSoftware
Responsibilities
Work with the Data Engineering team and report to Fardad Golshany, partnering closely with Engineering, Product, GTM, and Finance teams
Design and build scalable analytics data marts in Snowflake using dbt that enable data science and insights across multiple business domains
Maintain existing data pipelines and build new ETL and reverse ETL workflows to ensure reliable data movement across systems
Stand up and scale orchestration infrastructure using Dagster or Airflow, implementing monitoring and alerting via Metaplane
Build dynamic executive-facing dashboards in Sigma to reduce time to insight and enable AI-powered self-serve analytics
Establish data governance standards with automated testing, comprehensive documentation, and semantic definitions that reduce ad-hoc queries
Optimize dbt pipeline performance by implementing incremental models, improving materializations, and applying engineering best practices
Qualification
Required
4+ years building production data pipelines and analytics infrastructure in cloud-native environments, with deep expertise in SQL and data transformation at scale
Advanced production experience with dbt (2+ years), including writing macros, packages, and implementing best practices, plus hands-on experience with Snowflake performance tuning and cost optimization
Production experience with orchestration tools (Dagster or Airflow) and understand DAG design, dependency management, and monitoring
Built executive-level dashboards and BI solutions in Sigma (or similar tools) and understand how to structure semantic layers and optimize data models for AI-powered analytics
Understanding of dimensional modeling and analytics architecture — designing data marts, fact/dimension tables, and semantic layers
Ability to work autonomously and drive complex projects end-to-end, thriving in ambiguity while communicating clearly with business stakeholders across all levels
Benefits
Incredible teammates: Work alongside some of the nicest and smartest people you'll ever meet.
Ownership mindset: We're all owners here, literally. Employees receive equity in Scribe, sharing in the company's long-term success.
Comprehensive coverage: We offer health, dental, and vision insurance for you and your dependents.
Time to recharge: Flexible paid time off, plus company holidays to rest and reset.
Retirement planning: Employees can contribute to a 401(k) plan to help plan for their future.
Support for growing families: Paid parental leave to help you care for and bond with your growing family.
Lunch, on us: SF-based employees receive daily catered lunches at our office.
Easy commutes: Commuter benefits for our office-based team, make getting to and from HQ simpler.
Level up your home office: Remote? Hybrid? Wherever you work, we'll support your setup with a home office stipend.
Company
Scribe
Scribe’s Workflow AI platform helps organizations capture and optimize how work gets done.
H1B Sponsorship
Scribe 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 (2)
2024 (2)
Funding
Current Stage
Growth StageTotal Funding
$130MKey Investors
StepStone GroupRedpointTiger Global Management
2025-11-10Series C· $75M
2024-02-15Series B· $25M
2021-10-18Series A· $22M
Recent News
Crunchbase News
2025-12-10
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2025-11-21
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