Greenhouse ·
full-timeSenior Analytics Engineer
Faire · San Francisco, CA
Faire operates a technology wholesale platform that helps independent retailers discover and source products from suppliers around the world, using data and machine learning to streamline the buying process for small and medium businesses. The Senior Analytics Engineer will work closely with data scientists, product analysts and software engineers to design and build scalable data models and pipelines that support product launches and roadmap decisions. Day‑to‑day responsibilities include developing production‑level Python code, writing and optimizing SQL queries, orchestrating workflows with tools such as Airflow and DBT, and ensuring data quality, validation and observability across large‑scale processing systems. The role also involves embedding AI techniques to automate routine analytical tasks and improve pipeline efficiency, while collaborating with cross‑functional stakeholders to drive company‑wide data initiatives. Ideal candidates have several years of experience in analytics and data engineering, strong communication and leadership skills, and a track record of delivering reliable data solutions for analytics or data science use cases.
About Faire Faire is a technology wholesale platform built on the belief that the future is local. Independent retailers around the globe collectively represent a multi-hundred-billion-dollar wholesale market that has historically been fragmented and offline. At Faire, we're using the power of tech, data, and machine learning to connect this thriving community of entrepreneurs across the globe. Picture your favorite boutique in town — we help them discover the best products from around the world to sell in their stores. With the right tools and insights, we believe that we can level the playing field so businesses can grow and local communities can thrive. We’re looking for smart, resourceful and passionate people to join us as we power the shop local movement. If you believe in community, come join ours. About the role Are you passionate about using data and AI 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 team to work closely with Data Scientists, Product Analysts and Software Engineers to support product launches and roadmaps by designing and building data capabilities that inform and drive insights. You will lead the path in using AI to boost productivity and transform how analytical engineering operates—leveraging AI to streamline data pipeline development and operations, improve data consumption workflows, and automate routine analytical tasks. 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. What You Will Do The ideal candidate will possess a perfect blend of analytics and data engineering expertise, along with strong skills in developing and supporting large-scale, high-performance data storage and processing systems. They should have a proven track record of collaborating with key stakeholders to execute on company-wide data initiatives. Lead cross-team and/or multi-phase projects from design through implementation, fostering collaboration with cross-functional partners. Lead the technical execution in building scalable data models and pipelines for a domain defining the architecture, feature requirements, roadmap. Build data pipelines with rigorous approaches to data quality, validation, testing, and observability. Redefine how we build, maintain, and scale data systems by embedding AI into our daily workflows. Optimize processes for operational excellence in project management and system reliability. Ensure security standards are met within data systems and workflows. Ensure and promote data quality standards for accurate and reliable insights. Embrace emerging technologies with enthusiasm. Minimum qualifications 4+ 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 with Airflow, Docker, DBT or similar analytics workflow tools. BA/BS degree in Computer Science, Math, Physics, or a related technical field. Salary Range California: the pay range for this role is $ 196,000 to $ 269,500 per year. This role will also be eligible for equity and benefits. Actual base pay will be determined based on permissible factors such as transferable skills, work experience, market demands, and primary work location. The base pay range provided is subject to change and may be modified in the future. Hybrid Faire employees currently go into the office 3 days per week on Tuesdays, Thursdays, and a third flex day of their choosing (Monday, Wednesday, or Friday). Additionally, hybrid in-office roles will have the flexibility to work remotely up to 4 weeks per year. Specific Workplace and Information Technology positions may require onsite attendance 5 days per week as will be indicated in the job posting. Why you’ll love working at Faire Move fast: You'll own meaningful problems that serve customers around the globe with the agency to move fast and see your results clearly. Equipped to scale: We invest in what matters, including the latest enterprise AI tools, to help you work smarter and get more out of every day. Best in class: Our team is full of sharp, kind, and generous colleagues who care about their craft and about helping you grow in yours. Real re
| Role | Senior Analytics Engineer |
|---|---|
| Company | Faire |
| Location | San Francisco, CA |
| Type | full-time |
| Compensation | Not disclosed |
| Posted | 2026-10-01 |
| Deadline | Rolling |
Typical process for this type of role
A general guide — the exact steps for this specific listing may vary; check the original posting for details.
- 1ApplicationSubmit your resume through the apply link.
- 2ScreeningRecruiter reviews your background against the role.
- 3AssessmentA technical test, assignment, or coding round, depending on the role.
- 4Interview(s)One or more rounds with the hiring team.
- 5OfferOffer letter with compensation and start date.
Before you apply
0/4Senior Analytics Engineer at Faire: frequently asked questions
- What is the salary for this role?
- Faire has not stated compensation in the listing. Check the original posting or ask during the application process.
- Is the Senior Analytics Engineer position remote, hybrid or onsite?
- The listing gives San Francisco, CA as the location and does not state a work mode.
- What is the application deadline?
- Faire has not listed a fixed deadline, so apply early in case the opening is filled.
- How do I apply for the Senior Analytics Engineer role?
- Use the Apply button on this page. It opens the original listing on boards.greenhouse.io, where you submit your application with the company.
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