Senior Data Engineer

About Faire

Faire is an online wholesale marketplace built on the belief that the future is local — independent retailers around the globe are doing more revenue than Walmart and Amazon combined. 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 that small businesses everywhere can compete with these big box and e-commerce giants.

By supporting the growth of independent businesses, Faire is driving positive economic impact in local communities, globally. 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 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 Senior Data Engineer with a deep expertise in designing and building data systems and a dedication to applying software development best practices to data-driven solutions.

In this role, you will design, build, and maintain the critical infrastructure that drives our data-driven decision-making, product development, and business insights. Your work will have a direct impact on our company's growth and user satisfaction. You'll collaborate with A players, work with one of the richest data sets in the world, utilize cutting-edge technology, and see your efforts positively influence our products and SMBs on a regular basis.

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 blend of software and data engineering expertise, along with strong skills in data infrastructure and architecture. They should be comfortable working independently and effectively coordinating with stakeholders.

• Design and Build Data Capabilities: Design and implement cutting edge technologies for Faire’s data platform
• Architect Robust Data Pipelines: Design and implement highly reliable, scalable, and performant data pipelines (ETL/ELT) to process structured and semi-structured data from diverse sources into our data lake and data warehouse.
• Champion Data Quality: Build frameworks that ensure quality, monitoring and alerting in data systems.
• Collaborate Cross-Functionally: Work closely with data scientists, analysts, product managers, and software engineers to translate business requirements into effective data solutions on marketplace quality, pricing parity & catalog completeness.
• Mentor and Guide: Provide technical leadership and mentorship to junior data engineers/co-op interns, fostering a data-driven engineering culture.

 

Minimum qualification

• Over 3+ years of Software Engineering + Data Engineering expertise.
• Comfortable working with AWS technologies
• Experience using Terraform
• Experience using Flink and Spark
• Experience working with Airflow
• Familiarity with Docker and Kubernetes
• Hands-on development experience in at least one object-oriented language and experience in writing Python.
• SQL proficiency with proven competencies in designing well-architected data models, and optimizing query performance
• Experience and strong knowledge of data warehousing concepts, big data technologies, and analytics platforms.
• Holds a BA/BS degree in Computer Science, Math, Physics, or a related technical field.

 

Salary Range:

New York: the pay range for this role is $177,500 to $244,000 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.

Faire’s flexible work model aims to meet the needs of our diverse employee community by making work more flexible, connected, and inclusive. Depending on the role and needs of the team, Faire employees have the flexibility to choose how they work–whether that’s mainly in the office, remotely, or a mix of both. 

Roles that list only a country in the location are eligible for fully remote work in that country or in- office work at a Faire office in that country, provided