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Agent guide: [/agents.md](https://www.wearedevelopers.com/agents.md). --- # Analytics Engineer - **Company:** Faire - **Location:** San Francisco, CA, United States (Remote available) - **Experience:** Expert - **Salary:** $196,000.0 - $269,500.0 - **Contract:** Permanent contract - **Skills:** Query Performance, Adaptable Database Systems, Artificial Intelligence, Airflow, Business Analytics Applications, Data Analysis, Big Data, Information Engineering, Data Files, Extract Transform Load (ETL), Data Systems, Data Warehousing, Database Queries, Python (Programming Language), Machine Learning, Performance Tuning, Systems Development Life Cycle, Query Optimization, Software Engineering, SQL Databases, Workflow Management Systems, Data Processing, Scripting, Data Storage Technologies, Reliability of Systems, Information Technology, Data Management, Data Pipelines, Docker - **Published:** July 31, 2026 - **Apply:** https://www.careerbuilder.com/job-details/senior-analytics-engineer-marketplace-san-francisco-ca--5b6c587d-a663-449a-b3d5-1b818e2a22b9 ## About the Role 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., * 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., Artificial Intelligence (AI), Big Data, Blog, Business Growth, Computer Science, Cross-Functional, Customer Satisfaction, Data Analysis, Data Management, Data Modeling, Data Processing, Data Quality, Data Science, Data Sets, Data Storage, Data Warehousing, Docker, Emerging Technology, Entrepreneurship, Leadership, Leading Edge Technology, Machine Learning, Mathematics, Operations Processes, Performance Tuning/Optimization, Physics, Process Improvement, Product Engineering, Product Planning, Product Support, Product/Service Launch, Project Design, Project/Program Management, Python Programming/Scripting Language, Quality Metrics, Query Optimization, Retail, SQL (Structured Query Language), Sales, Scalable System Development, Small Business, Software Engineering, Systems Reliability, Team Lead/Manager, Technical Leadership, Use Cases, Validation Testing, Workflow Analysis ## Description 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 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. 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., 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. * 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. ## Related Videos - [From Messy Queries to Scalable Systems - How Data Engineering actually works](https://www.wearedevelopers.com/videos/100203-from-messy-queries-to-scalable-systems-how-data-engineering-actually-works) - [Alibaba Big Data and Machine Learning Technology](https://www.wearedevelopers.com/videos/37-alibaba-big-data-and-machine-learning-technology) - [Docker Compose: Rediscovered](https://www.wearedevelopers.com/videos/1978-docker-compose-rediscovered) - [Data Science in Retail](https://www.wearedevelopers.com/videos/586-data-science-in-retail) - [Enjoying SQL data pipelines with dbt](https://www.wearedevelopers.com/videos/823-enjoying-sql-data-pipelines-with-dbt) - [PySpark - Combining Machine Learning & Big Data](https://www.wearedevelopers.com/videos/44-pyspark-combining-machine-learning-big-data) ## Related Articles - [Making Data Warehouses Fast: A Developer’s Story](https://www.wearedevelopers.com/magazine/107-making-data-warehouses-fast-a-developer-s-story) - [Dev Digest 120 - Apple and peers](https://www.wearedevelopers.com/magazine/455-dev-digest-120-apple-and-peers) - [Highest Paying Tech Companies for Developers](https://www.wearedevelopers.com/magazine/220-highest-paying-tech-companies-for-developers) - [Navigating the AI Shift](https://www.wearedevelopers.com/magazine/629-navigating-the-ai-shift) - [Top Big Data Technologies That You Need to Know](https://www.wearedevelopers.com/magazine/108-top-big-data-technologies-that-you-need-to-know) - [Data Engineer Salary UK](https://www.wearedevelopers.com/magazine/253-data-engineer-salary-uk)