The Senior Data Engineer at Sauce will build and optimize data infrastructure and lakehouse architecture, manage data governance, and implement data quality tests using Azure Databricks. Responsibilities include improving CI/CD pipelines and connecting various data sources.
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.
Top Skills
Azure Databricks
Databricks Asset Bundles
Git
Github Actions
MongoDB
Postgres
Python
SQL
Unity Catalog
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