Data Engineer - Toronto, Canada

Zenni Optical; Canada; On-site; CAD 102,000 - 128,000; Full time

Job summary

A leading eyewear company in Canada seeks a Data Engineer to support its rapid growth and AI initiatives. Responsibilities include developing data pipelines, designing data models, and ensuring data security while collaborating with engineering teams. Candidates should possess a relevant degree and significant experience in data engineering, preferably with tools like Databricks. The company offers competitive compensation and a range of employee benefits.

Benefits

Annual Bonus Program

100% premiums covered for healthcare

Generous PTO

Fully Paid Parental Leave

Qualifications

• At least 5 years of experience in data engineering.
• Designed and implemented a robust data security platform.
• Strong experience with end to end project delivery.

Responsibilities

• Develop and maintain data pipelines for data centralization.
• Design scalable and efficient data models.
• Collaborate with software engineers and AI engineers.

Skills

Databricks Platform

Python

SQL

Data modeling techniques

DBT (Data Build Tool)

Data quality assurance

Communication skills

Education

Bachelor’s degree in Computer Science or related field

Tools

GCP tech stacks

Job description

Born from a mission to make prescription eyewear affordable and accessible to everyone, Zenni Optical has been changing the way people see the world since 2003. With complete prescription pairs for adults and kids starting at under $10, we’ve grown into a global brand with over 51 million pairs of glasses sold — and counting!

Based in the San Francisco Bay Area, we're proud to be the Official Eyewear of the San Francisco 49ers, Boston Celtics, Monster Jam, Ghost Gaming, TSM, Major League Pickleball and more. We've also partnered with tastemakers and designers like Chase Stokes, Jrue Holiday, and George and Claire Kittle to bring our brand to life in bold, meaningful ways.

Candidate safety is important to us. Please note that all official communication will only be sent from @zennioptical.com addresses.

Position Overview:

To support our rapid growth, we are currently looking for a strong tech background Data Engineer to be part of the Data Engineering team that builds scalable data systems to support both data-driven analysis and AI initiatives. This position will be a key member of the team, responsible for expanding data visibility across the organization, developing data models to optimize business decisions, and supporting the data infrastructure required for AI initiatives. You will be working in business domains of e-commerce, Marketing, Inventory, Supply Chain and Customer Servic etc, and leverage enriched data to bring real impact back to the company.

Responsibilities:

• Develop and maintain data pipelines to centralize and transform data into a data warehouse or data lake
• Design and build scalable and efficient data models to meet the business data needs
• Implement and maintain data security measures using modern technology stacks and best practices
• Collaborate with software engineers, AI engineers, and business stakeholders to design and build scalable data infrastructure and pipelines that support both analytics and AI initiatives.
• Lead end-to-end implementation of data projects, including requirements gathering, data processing, and data dashboard implementation if needed

Basic Qualifications:

• Bachelor’s degree in Computer Science or a related field
• At least 5 years of experience in data engineering.
• Strong experience in Databricks Platform, Unity Catalog and/or GCP tech stacks
• Strong coding skills in Python and SQL.
• Knowledge of data modeling techniques and best practices for designing data warehouses and data lakes
• Experience working with DBT (Data Build Tool), for data modeling, and understanding of medallion architecture
• Expertise in data quality assurance, validation, and testing processes to ensure data accuracy and reliability
• Designed and implemented a robust data security platform that adhered to industry compliance standards, including GDPR, HIPAA, and SOC2 Type 2
• Experience with a velocity team, and embrace a collaborative culture that supports teammates and drives outcomes together.
• Strong experience with end to end project delivery including requirement gathering, communication with stakeholders, implementation and QA process.
• Excellent written and verbal communication skills in English, with the ability to communicate complex ideas to both technical and non-technical audiences.
• Annual Bonus Program
• Healthcare: 100% premiums covered for extended medical, dental, and vision premiums paid by the company for employees (50% for dependents)
• Group & dependent life, AD&D, and long term disability coverage
• Company-matched RRSP contributions up to 4%
• Employee Assistance Program (EAP) for mental health and wellness support
• Free access for you and your family to our digital wellness platform - Wellness Coach
• Generous PTO in addition to our Week of Zen - the time between Christmas and New Year’s to relax and recuperate
• Fully Paid Parental Leave - 16 weeks for birthing and non-birthing parents
• Family forming and fertility support & services through Maven
• Annual Zenni Gift Card - to use towards our products!

Compensation

In addition to other forms of compensation like perks and benefits, the estimated range for this role is CAD $102,100 - $127,600. The final offer will be determined based on permissible, non-discriminatory factors such as skill set, experience, geographical location, market conditions, and other organizational needs. The Company reserves the right to change, modify, or revisit the salary range for various reasons including business needs.

We look forward to hearing from you!

We strive to build a diverse team of individuals with a broad range of experience and perspectives. We encourage you to apply even if you don’t feel you meet all the qualifications.

Zenni Optical is an equal opportunity workplace and considers applications without regard to race, color, national origin, gender identity, sexual orientation, age, citizenship, marital status, disability, or Veteran status.We also consider qualified applicants regardless of criminal histories, consistent with legal requirements.

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