About Us

Candid™ is helping people get the smiles they always wanted at prices they can afford. By simplifying the process (direct-to-consumer) and reducing costs (by up to 65% less), we can help more people feel confident and healthy. We believe that high quality dental care should be affordable and accessible, and we're using teledentistry to facilitate the diagnosis and treatment of orthodontic patients. Our team includes startup veterans with experience across healthcare, hospitality, tech, and finance at companies such as Lyft, Squarespace, WeWork, Blue Apron, and Clover Health.

Role

We’re building a best-in-class consumer healthcare brand and are looking for a data-driven developer / scientist who has a passion for utilizing data to make an impact on customer experience and growth. As a Data Engineer at Candid™, you will help build out our existing data pipelines, as well as interpret analytics and build reporting tools used by the whole business. You will be responsible for owning the development and maintenance of our pipelines, data analysis, and integration of third-party tools for our marketing, operations, and product teams. You will partner with various teams across the business to help extract meaningful analysis from the data we have collected. You will initially report to the Engineering Manager for Experience.

What You’ll Do

• Design and build ETL pipelines using SQL, Python, dbt and Redshift
• Develop and maintain data products and infrastructure
• Compile data to show progress and guide high-level decision making
• Help design data-driven experiments across the business
• Think outside the box and maintain a flexible approach to problem solving

What You’ll Need

• 3+ years minimum experience as a data engineer or equivalent
• Strong SQL skills
• Fluency in two or more of: Python, R, Go, Ruby, Scala
• Experience running data projects from start to finish
• Cross-functional experience working with all teams throughout an organization
• Proven analytical skills
• Strong business instincts and fundamentals
• Experience in machine learning algorithms and processes a plus
• Experience with Redshift, Redash, Looker a plus
• Experience in AWS or other cloud providers a plus

Pay & Perks

• Competitive compensation and equity in the business
• Medical, dental, and vision insurance
• Easy access to work - across the street from 4, 5, 6, L, N, Q, R, W trains, and around the block from the F and M
• Commuter benefits
• Significant discount on our customized treatment plans and aligners
• You will grow a lot here. You’ll be surrounded by employees with deep experience in their field, who have a strong passion for doing great work and constantly learning

We continuously strive to create and maintain a diverse and inclusive environment, and are proud to be an Equal Opportunity Employer. Additionally, this organization participates in E-Verify.