Data Engineer

12/7/2025

Design and build end-to-end ETL processes using Python, SQL, and Spark. Collaborate with analysts and business teams to deliver scalable, production-ready data models.

Working Hours

40 hours/week

Company Size

201-500 employees

Language

English

Visa Sponsorship

About The Company

With a history in digital media, analytics, and customer experience, Rise proudly joins Quad, a global Marketing Experience company, to challenge the status quo and redefine the future of integrated marketing, together. As a full-service media agency, we move at the speed of opportunity with passion, inclusion, and understanding. We foster a culture of positivity and perseverance to usher in the future of media and challenge the status quo. At Rise, we create omnichannel experiences using our proprietary tech stack and advanced analytics capabilities to help solve the unique struggles brands face today. This approach, with transparency at its core, specializes in omnichannel media, commerce and retail media, advanced in-home media, as well as content and creator marketing. Please note: Rise will never ask you to install an app or send money as part of the hiring process.

About the Role

We’re looking for a Data Engineer to design and build ETL processes that turn raw data into clean, aggregated datasets. You’ll work closely with analysts, product, and business teams to understand needs and deliver scalable, production-ready data models.

This is a hands-on role in a high-scale environment, working with massive data volumes and real business impact.

Responsibilities

Design and build end-to-end ETL processes using Python, SQL, and Spark
Translate business needs into robust data solutions—don’t just execute, help shape the direction
Own the development of data tables and pipelines that are maintainable, reusable, and scalable
Collaborate with analysts, data scientists, and other stakeholders to understand requirements
Drive automation and avoid redundant tables and duplicated logic
Monitor, troubleshoot, and continuously improve data workflows

Requirements

3+ years of hands-on experience as a Data Engineer or in a similar role
Strong knowledge of SQL and Python
Experience with Apache Spark or similar big data frameworks
Familiarity with Airflow or other orchestration tools
Comfortable working in a cloud-based environment
Strong business intuition
Independent, proactive, and curious
Experience working with large-scale data and building clean, efficient data infrastructure

Advantages

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Key Skills

Data EngineeringETL ProcessesPythonSQLApache SparkBig DataAirflowCloud ComputingData SolutionsData TablesData PipelinesAutomationData WorkflowsCollaborationTroubleshootingBusiness Intuition