Joblaze summary

In the role of Senior Analytics Engineer at Faire, the individual will focus on designing and building data capabilities that enhance product features for small and medium businesses. Key skills include expertise in data modeling, large-scale data processing, and proficiency in Python and SQL, along with experience in analytics workflow tools like Airflow and DBT. This position is ideal for someone with a strong background in analytics and data engineering, capable of leading cross-functional projects and collaborating with various stakeholders. Faire's commitment to leveraging AI in data workflows highlights its innovative approach to supporting local businesses.

Joblaze insights

Listed about a month ago — first seen on Joblaze September 23, 2026. Last confirmed on Faire's careers page November 14, 2026.
Salary band is in line with the typical range for Data Engineering roles (median ~$180,000).
Starts above 92% of 117 comparable senior data engineering roles in United States that list Python we track (median $180,656 across 34 companies). See Python salary trends
Python appears in 74.2% of 198 comparable senior data engineering roles in United States; Docker appears in 10.1% of 198 comparable senior data engineering roles in United States.

Quick facts

Is the Senior Analytics Engineer - Retailer Growth role remote?: It's hybrid — Faire expects some on-site time in San Francisco, CA.
What's the salary range?: Faire lists $196,000–$269,500 for this role.
How much experience is required?: At least 4 years of relevant experience for this Senior Analytics Engineer - Retailer Growth role.
Where is the role based?: Faire is hiring for this position in San Francisco, CA.
What's the tech stack?: Joblaze extracted these technologies from the posting: Airflow, Docker, Python, SQL, dbt.
What seniority level is this role?: Faire targets senior candidates for this position.
Is this full-time or contract?: Full-time for this Senior Analytics Engineer - Retailer Growth role at Faire.

From the original posting

About Faire

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.

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.

Standard company text repeated across Faire's postings is omitted here.

Senior Analytics Engineer - Retailer Growth

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