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Staff Analytics Engineer

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Salary

$164,000-$246,000

Location

Remote - United States

About Vercel:

Vercel’s Frontend Cloud provides the developer experience and infrastructure to build, scale, and secure a faster, more personalized web. Customers like Under Armour, eBay, The Washington Post, Johnson & Johnson, and Zapier use Vercel to build dynamic user experiences on the web.

At Vercel, our mission is to enable the world to ship the best products and that goes hand in hand with creating an environment where you can do the best work of your life.

About the Role:

As a Staff Analytics Engineer, you will be working cross-functionally with business domain specialists, analytics, and engineering teams to design and implement logical data models that powers all scientific, analytical, and reporting use cases across Engineering, Product, Finance, and our various functional business units.

What You Will Do:

  • Work with cross-functional stakeholders in defining and documenting company-wide single source of truth data models that power analysis throughout the enterprise
  • Architect, build, publish, and maintain performant and reliable data models and pipelines to power:
  • Self-service data consumption throughout the enterprise
  • Flexible querying and data visualization
  • Advanced analytical and scientific use cases
  • Serve as a data steward and subject-matter expert for a dedicated set of business and technology domains.
  • Build and improve data tooling in partnership with internal Data Platform teams, including:
  • Tooling for auditing, error logging, and validating data tables
  • Tooling to help democratize data model and pipeline ownership
  • Tooling to make data more discoverable, easy to use well, and difficult to use incorrectly
  • Tooling to make analysts, scientists, and analytics engineers more efficient
  • Drive data quality by transforming dynamic data and business logic into consistent and trustworthy datasets
  • Develop and evangelize development standards and best practices for data modeling and working with our data and tools.

About You:

  • 8+ years of work experience querying, visualizing, and presenting data; prior experience at a modern technology company with a well-developed data organization
  • Advanced skills with writing clean, performant, scalable SQL
  • Advanced familiarity with modern BI tools, in particular: Hashboard, Superset
  • 6+ years of advanced experience with Snowflake or Bigquery
  • 2+ years with dbt or spark-based data pipelines
  • 6+ years of extensive experience in schema design and data modeling strategies (e.g. dimensional modeling, data vault, etc)
  • Significant experience with general-purpose programming (e.g. Python, Java, Go), dealing with a variety of data structures, algorithms, and serialization formats

Bonus if You:

  • Ability to solve ambiguous problems independently
  • Detail oriented and excited to learn new skills and tools
  • Ability to write clear, concise documentation, and to communicate generally with a high degree of precision
  • Passion for high data quality and building systems and processes that scale

Our Stack:

  • Ingestion: Kafka, Snowpipe, Fivetran, Polytomic
  • Warehouse: Snowflake
  • Orchestration: Airflow
  • Transformation: dbt
  • BI: Preset, Hashboard
  • Reverse ETL: Polytomic, Rudderstack
  • Cloud: AWS

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