Data Engineer

For many of us there’s that one podcast we never miss, and video content is part of our daily routine, whether it’s professional or personal. But how many of us truly understand the effort that goes on behind the scenes? Here at Riverside, we know it well. That’s exactly why we built an AI-powered platform that helps content creators, podcasters, marketeers, and more at major brands like Netflix, Disney, Google, and Microsoft to create high-quality content with ease.

Riverside’s technology streamlines the entire content creation process, turning ideas into professional-grade content with the highest production standards, without requiring expensive equipment or external services. The secret? AI-driven tools that replace traditional production roles like editing, directing, and design, automating the entire process at the click of a button.

About The Data Team

At Riverside, we believe data should drive decisions, not just fill dashboards. Our Data & Analytics team blends deep analysis with scalable, trustworthy data solutions to help every team move faster and smarter. From analytics and business intelligence to pipelines, semantic layers, and predictive models, we turn raw information into real impact. If you're excited about building the systems and tools that make data instantly useful, you'll feel right at home here.

On your day to day

We're looking for a proactive, curious, and entrepreneurial Data Platform Engineer to design, build, and scale the systems that power Riverside's decision-making. You'll shape our core data architecture, set warehouse modeling standards, and manage our semantic layer (Omni) so Analytical Engineers can work faster with confidence.

You'll orchestrate reliable, end-to-end data flows with Kestra, optimize Snowflake for performance and cost, and develop AI-powered tools that turn questions into insights in record time. Along the way, you'll connect and streamline our data ecosystem, maintain high observability standards, implement robust data quality checks, and ensure secure handling of PII.

Requirements:

What Will Make You Stand Out?

• 2+ years in a data engineering, analytics engineering, or related role.
• Strong experience with SQL and data modeling (fact/dimension patterns, incremental logic).
• Hands-on with Snowflake optimization and query tuning.
• Familiarity with orchestration tools (Kestra, Airflow, dbt Cloud jobs, etc.).
• Experience with semantic layer tools (Omni, LookML, Cube, etc.).
• Ability to design and build AI-assisted tools for analytics.
• Proficiency in Python and Git-based workflows is a plus.
• Comfortable working in a fast-paced startup environment and building 0-to-1 solutions.
  
  



Bottom line? If you wanna take part in transforming how people and businesses share their stories globally, Riverside’s your place. The work is challenging, the culture is fast-paced, and the people are exceptionally brilliant. And if that’s not enough, we guarantee that your ideas will genuinely make an impact.