Data Engineer (remote - AR)

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

Riverside’s Data & Analytics team believes there’s a better way to make data useful than just creating endless dashboards. We focus on in-depth analysis and building scalable, trustworthy data solutions that help every team make faster, smarter decisions. From analytics and business intelligence to data pipelines and predictive models, we turn raw information into real impact. If you’re passionate about finding radical new ways to leverage data, you’ll fit right in.

On your day to day

We’re looking for a proactive, curious, and entrepreneurial Data Platform Engineer to help design, build, and scale the systems powering Riverside’s decisions.

In this role you will:

• Own our core data architecture - model the warehouse, manage the semantic layer (Omni), and set high standards.
• Run and optimize the platform - orchestrate pipelines (Kestra), tune Snowflake for performance & cost, and ensure reliability from ingestion to BI.
• Build AI-powered tools - create apps and agents that turn questions into insights fast.
• Integrate systems - connect ingestion, transformation, and BI tools to keep data flowing smoothly.
• Empower the team - deliver standards, templates, and tooling for faster, better data products.
• Maintain observability & governance - data quality checks, SLAs, PII handling, and metric governance.

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.