Senior Data Engineer

Sauce; Remote; CAD 80,000 - 100,000; Full time

Job summary

A leading restaurant technology platform in Canada seeks a skilled Data Engineer to build and optimize data pipelines using Azure Databricks. You will manage data quality, transform datasets, and develop analytics solutions. The ideal candidate has over 5 years’ experience in data infrastructure, is proficient in SQL and Python, and has a solid understanding of data governance. This role offers a competitive compensation package, including paid vacation and a flexible work environment.

Benefits

Strong & Competitive Compensation Package

Flexible Work Environment

10 Paid Personal/Vacation Days

5 Paid Sick Days

Monthly Wellness Stipend

Qualifications

• 5+ years of experience building data pipelines and data infrastructure.
• Proficient in SQL and Python.
• Experience with Databricks and data governance.

Responsibilities

• Build and optimize lakehouse architecture using Azure Databricks.
• Transform stage/raw layer data and manage data schemas.
• Develop reports and dashboards about data quality.

Skills

Building data pipelines

SQL

Python

Data governance

Databricks

Git

Data quality frameworks

Document-based databases

Relational databases

Tools

Azure Databricks

MongoDB

PostgreSQL

GitHub Actions

Job description

Sauce is a premier restaurant technology platform that helps businesses grow with our Commission-Free Delivery & Pickup structure and proprietary delivery optimization technology. We are serving a 105 billion dollar US local restaurant business. Headquartered in NYC and Tel-Aviv, Sauce wants restaurants to fulfill their highest potential, this means giving local establishments everything they need to connect directly with their customers. The Sauce team pools together decades of restaurant tech experience, along with seasoned tech, sales, marketing, product and operations executives who produce an industry-changing delivery system for successful local restaurants and chains.

What You'll Do:

• Build and optimize Sauce's lakehouse architecture using Azure Databricks and Unity Catalog for data governance
• Manage and optimize cluster resources to balance performance and cost
• Transform stage/raw layer data, define and manage data schemas, and add data quality tests
• Create and maintain data quality tests, improve existing alerting setups
• Develop reports/dashboards about data quality and consistency
• Improve existing CI/CD pipeline(s) using Databricks Asset Bundles and GitHub Actions/Workflows
• Own data warehouse - connecting data sources, and maintaining a platform and architecture in coordination with R&D infrastructure and operations teams

What You Bring:

Must Have:

• 5+ years of experience building data pipelines, data infrastructure, data quality suites, and alerting functionality
• Proficient in SQL, Python
• Proficient in Git
• Experience with Databricks
• Familiar with data governance, implementing or managing Unity CatalogUnderstanding of CI/CD principles, with experience implementing Databricks Asset Bundles
• Hands-on experience with data quality suites/frameworks/tools
• Experience with document-based databases (MongoDB) as well as relational databases (PostgreSQL)

Nice to Have:

• Experience with cloud infrastructure (Azure, GCP)
• Experience with web scraping or API integrations (HubSpot, Stripe, etc.)

Required Technology & Equipment:

• Personal computer or laptop with up-to-date software
• High-speed internet connection
• Keyboard, mouse, working webcam, and headset with a microphone
• Primary 24” monitor (with an additional 24” monitor preferred)

What We Offer:

• Strong & Competitive Compensation Package
• Flexible Work Environment
• 10 Paid Personal/Vacation Days
• 5 Paid Sick Days
• Monthly Wellness Stipend

Sauce is an equal opportunity workplace and an affirmative action employer. We welcome all qualified applicants regardless of race, color, ancestry, religion, sex (including pregnancy and related conditions), national origin, sexual orientation, age, marital status, disability (physical or mental), gender identity, gender expression, genetic information, veteran status, citizenship, immigration status, or any other classification, category or characteristic protected by applicable federal, state or local laws. We understand the importance of creating a more diverse and inclusive workplace and celebrate our employees for their differences.