Staff Analytics Engineer

Salary

California: the pay range for this role is $209,500 to $288,000 per year.

Location

This role will be in-office on a hybrid schedule - Faire employees will be expected to go into the office 2 days per week on Tuesdays and Thursdays, effective the week of January 13, 2025. Additionally, in-office roles will have the flexibility to work remotely up to 4 weeks per year.

Are you passionate about using data to shape the future of Faire's product features for small and medium businesses (SMBs)? If so, we want to talk to you! We're looking for a technical leader in our Core Data Infrastructure team to work closely with Product and Strategy Analysts, Data Scientists, and Software Engineers to support product launches and roadmaps by designing and building data capabilities that inform and drive insights. In this role, you'll see a direct link between your work, company growth, and user satisfaction. You'll work with A tier players, work with one of the richest data sets in the world, use cutting-edge technology, and see your efforts affect products and SMBs regularly.

Join us and be part of a team that values data-driven innovation and excellence.

Job Description & What You Will Do

The ideal candidate will possess a perfect blend of data modeling and analytics expertise, along with strong skills in developing and supporting large-scale, high-performance data pipeline systems. You should have a proven track record of leading projects and collaborating with key stakeholders to execute on company-wide data initiatives.

Lead cross-team and/or multi-phase projects from design through implementation.
Collaborate with technical and non-technical stakeholders, bridging the gap between business problem and technical solution.
Own and champion cross functional, centralized "crown jewel" data assets that answer Faire's most critical operational questions, reinforcing them as Source of Truth across the organization.
Develop scalable data models that enable performant analysis for Faire's business.
Codify and democratize best practices for SQL query optimization/reusability and reporting.
Define team-wide coding standards, documentation requirements and development processes (code reviews, testing requirements, etc).
Embrace emerging technologies with enthusiasm.

Minimum qualifications

5+ years experience in analytics & data engineering roles focused on data modeling, large-scale data processing, and tool development for analytics or data science use cases.
Demonstrated communication and leadership skills, with a history of initiating and steering successful projects across multiple stakeholders.
Production-level development experience in Python.
Strong SQL skills with demonstrable competencies in designing well-architected data models and optimizing query performance.
Deep experience and knowledge of data warehousing concepts, ETLs, big data technologies, and analytics platforms.
Experience implementing and owning enterprise BI tooling (Looker, Tableau, or similar visualization/dashboarding tool).
Experience with Airflow, Docker, DBT or similar analytics workflow tools.
Familiarity/exposure to distributed/streaming processing frameworks.
BA/BS degree in Computer Science, Math, Physics, or a related technical field.

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