Published: Wed, 18 Dec 2024 10:50:11 GMT
Position: Staff Analytics Engineer
Location: San Francisco, CA (remote-friendly)
Company: Vercel
About Vercel:
Vercel’s Frontend Cloud provides developers with the tools and infrastructure to build, scale, and secure high-performing and personalized websites. Renowned companies such as Under Armour, eBay, The Washington Post, Johnson & Johnson, and Zapier trust Vercel for their web experiences.
At Vercel, we are dedicated to empowering the world to create exceptional products. We strive to create an inclusive and supportive environment where you can achieve your best work.
About the Role:
As a Staff Analytics Engineer, you will collaborate with business domain experts, analytics teams, and engineers to design and implement logical data models that support various analytical and reporting use cases across Engineering, Product, Finance, and other functional business units.
Key Responsibilities:
– Collaborate with cross-functional stakeholders to define and document centralized data models that support analysis throughout the company
– Build and maintain efficient and reliable data models and pipelines for self-service data consumption, flexible querying and visualization, and advanced analytical and scientific use cases
– Act as a subject-matter expert and data steward for specific business and technology domains
– Work with internal Data Platform teams to develop data tooling for auditing, error logging, data model ownership, data democratization, and enhanced efficiency for analysts, scientists, and analytics engineers
– Ensure data quality by transforming dynamic data and business logic into consistent and reliable datasets
– Promote development standards and best practices for data modeling and working with data and tools
Qualifications:
– 8+ years of experience querying, visualizing, and presenting data, preferably at a modern technology company with a well-developed data organization
– Advanced skills in writing clean and scalable SQL
– Proficiency in modern BI tools, particularly Hashboard and Superset
– 6+ years of experience with Snowflake or Bigquery
– 2+ years of experience with dbt or spark-based data pipelines
– Extensive knowledge of schema design and data modeling strategies, such as dimensional modeling and data vault
– Proficiency in general-purpose programming languages, such as Python, Java, or Go, and experience working with different data structures, algorithms, and serialization formats
Bonus Qualifications:
– Ability to independently solve ambiguous problems
– Detail-oriented with a desire to learn new skills and tools
– Excellent written and verbal communication skills
– Passion for high data quality and scalable systems and processes
Our Tech Stack:
– Ingestion: Kafka, Snowpipe, Fivetran, Polytomic
– Warehouse: Snowflake
– Orchestration: Airflow
– Transformation: dbt
– BI: Preset, Hashboard
– Reverse ETL: Polytomic, Rudderstack
– Cloud: AWS
Benefits:
– Competitive compensation package and stock options
– Inclusive healthcare package
– Opportunities for mentorship and professional growth through events and networking
– Flexible time off policy with recommended 4 weeks per year and paid holidays
– Remote-friendly environment with team members from different time zones
– Work-from-home budget for necessary equipment and supplies
– The San Francisco, CA base pay range for this role is $164,000-$246,000. Actual salary may vary based on skills, experience, and location. Pay ranges outside San Francisco may be adjusted based on employee location. The total compensation package includes benefits and equity-based compensation. More details about pay range will be provided by the recruiter during the hiring process.
At Vercel, we are committed to creating an inclusive community within our organization. We do not discriminate on the basis of race, religion, color, gender identity or expression, sexual orientation, national origin, citizenship, age, marital status, veteran status, disability status, or any other protected characteristic. We encourage all qualified individuals to apply for our available positions, even if they do not meet every requirement listed in the job description.
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