Senior Data Engineer

Sauce; Norte; A distancia; COP 230.034.888 - 306.713.184; Jornada completa

Ventajas ofrecidas por este puesto de trabajo

Strong & competitive compensation package

Flexible work environment

10 paid personal/vacation days

5 paid sick days

Monthly wellness stipend

Descripción de la vacante

A leading restaurant technology firm seeks a skilled Data Engineer to build and optimize a lakehouse architecture using Azure Databricks. The role requires over 5 years of experience with data pipelines, SQL, and Python. The successful candidate will manage cluster resources, enhance data quality frameworks, and collaborate across teams. The position offers a competitive salary, flexible work environment, and generous paid leave. Join a team committed to diversity and inclusion!

Formación

• 5+ years of experience building data pipelines and data infrastructure.
• Experience with data-quality suites and alerting functionality.
• Understanding of CI/CD principles with experience implementing Databricks Asset Bundles.

Responsabilidades

• Build and optimize data lakehouse architecture using Azure Databricks.
• Develop data quality tests and maintain platform architecture.
• Manage and optimize cluster resources for performance and cost.

Conocimientos

Building data pipelines

Data infrastructure

Data-quality suites

Proficiency in SQL

Proficiency in Python

Git proficiency

Herramientas

Databricks

MongoDB

PostgreSQL

Azure

GCP

Descripción del empleo

Sauce is a premier restaurant technology platform that helps businesses grow with a commission‑free delivery and pickup structure and proprietary delivery‑optimization technology. We serve a $105 billion U.S. local restaurant business. Headquartered in NYC and Tel Aviv, Sauce empowers local establishments to connect directly with their customers through a comprehensive platform.

Responsibilities

• 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 and improve existing alerting setups.
• Develop reports and dashboards about data quality and consistency.
• Improve existing CI/CD pipelines using Databricks Asset Bundles and GitHub Actions/Workflows.
• Own the data warehouse – connect data sources, and maintain a platform and architecture in coordination with R&D, infrastructure, and operations teams.

Must‑Have Requirements

• 5+ years of experience building data pipelines, data infrastructure, data‑quality suites, and alerting functionality.
• Proficiency in SQL and Python.
• Proficiency in Git.
• Experience with Databricks.
• Familiarity with data governance, implementing or managing Unity Catalog.
• Understanding 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) and relational databases (PostgreSQL).

Nice‑to‑Have Requirements

• 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).

Benefits

• 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.

We may use artificial intelligence (AI) tools to support parts of the hiring process, such as reviewing applications, analyzing resumes, or assessing responses. These tools assist our recruitment team but do not replace human judgment. Final hiring decisions are ultimately made by humans. If you would like more information about how your data is processed, please contact us.