Senior Analytics Engineer - Retailer Growth
Primary stack
Job description
About the Position
We are looking for a Senior Analytics Engineer - Retailer Growth to join our team in San Francisco, CA. At Faire, we believe in the power of local businesses and are using technology, data, and machine learning to connect independent retailers around the globe. If you are passionate about using data and AI to shape the future of product features for small and medium businesses (SMBs), we want to talk to you!
Responsibilities
The ideal candidate will:
- Lead cross-team and/or multi-phase projects from design through implementation.
- Build scalable data models and pipelines.
- 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.
Requirements
- 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.
We Offer
- Competitive salary range: $196,000 to $269,500 per year in California.
- Equity and benefits.
- Hybrid work schedule: 3 days in office (Tuesdays, Thursdays, and a third flex day of your choosing) and remote work flexibility up to 4 weeks per year.
- Opportunity to work with cutting-edge technology and one of the richest data sets in the world.
- A supportive and inclusive work environment.
About the Company
Faire is a technology wholesale platform built on the belief that the future is local. We are committed to providing equal employment opportunities (EEO) to all employees and applicants for employment without regard to race, color, religion, sex, national origin, age, disability, genetics, sexual orientation, gender identity, or gender expression. We are backed by top investors in retail and tech and have offices in San Francisco, Kitchener-Waterloo, Toronto, London, and New York.
For more information about Faire and our customers, you can read more on our blog.
Privacy
For information about the type of personal data Faire collects from applicants, as well as your choices regarding the data collected about you, please visit Faire’s Privacy Notice.
© Faire Berlin. This job description was sourced from the employer's public career page. TheJob is not the employer — we index the posting and route candidates to the source. All content rights and hiring decisions belong to the employer.
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