Senior Data Engineer, Analytics
About The Position
As a data engineer focused on analytics and BI engineering at Scribe, you will: 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
Requirements
- You have 4+ years building production data pipelines and analytics infrastructure in cloud-native environments, with deep expertise in SQL and data transformation at scale
- You bring 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
- You have production experience with orchestration tools (Dagster or Airflow) and understand DAG design, dependency management, and monitoring
- You've 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
- You understand dimensional modeling and analytics architecture — designing data marts, fact/dimension tables, and semantic layers comes naturally to you
- You work autonomously and drive complex projects end-to-end, thriving in ambiguity while communicating clearly with business stakeholders across all levels
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
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.
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What This Job Offers
Job Type
Full-time
Career Level
Mid Level
Education Level
No Education Listed
