Senior Data Engineer

ABOUT US

Shortical is the fastest-growing platform in the rapidly expanding market of mobile-first, short-form scripted entertainment. We deliver premium, serialized micro-series designed for how audiences watch today: on demand and on the go. We combine high-quality production with fast-paced, cliffhanger-driven storytelling. Powered by an AI-first product experience, Shortical helps millions of users instantly discover and engage with new shows, scaling quickly as a leader in a category seeing explosive global growth. We have already broken into the US Top 10 highest-grossing apps in under a year!

About the Role

We are looking for a Senior Data Engineer to join us and become the backbone for enabling our data-driven decision-making. This is a high-impact role where you will design and maintain our entire data infrastructure - from raw event ingestion to polished dashboards, empowering Content, Product, and Marketing teams with real-time, actionable insights.

You will own the full data pipeline: modeling, transformation, visualization, and automation.

Responsibilities

• Data Pipeline Architecture: Design, build, and maintain scalable ETL/ELT pipelines that ingest data from multiple sources into the data warehouse.
• Data Modeling: Design and maintain clean, well-documented data models that serve as the single source of truth for the organization.
• BI & Analytics: Build and own dashboards, reports, and self-serve analytics tools that provide real-time visibility into KPIs across acquisition, engagement, retention, and monetization.
• Data Quality & Governance: Implement monitoring, alerting, and validation frameworks to ensure data accuracy, freshness, and trust across all pipelines and reports.
• Attribution Analytics: Support marketing and growth teams with deep-dive analysis on campaign performance, ROAS, LTV modeling, and attribution across paid and organic channels.
• Cross-Functional Partnership: Work closely with Content, Product, and Marketing teams to translate business questions into data solutions, A/B test analysis, and cohort studies.

Requirements

• BSc/BA in Computer Science, Engineering, or a related field.
• At least 5 years of experience with designing and building data pipelines, analytical tools, and data warehouses.
• Strong Python and SQL skills
• Practical experience building and maintaining ETL/ELT workflows using tools such as dbt and Airflow.
• Strong proficiency with modern BI platforms (such as Looker, Tableau, Power BI) - building dashboards, calculated fields, and self-serve data products.
• Strong analytical thinking with the ability to translate ambiguous business questions into clear data solutions and actionable insights.
• Experience working with mobile attribution platforms (AppsFlyer, Adjust), product analytics tools (Mixpanel, Amplitude), and ad platforms (Meta Ads, Google Ads).

Huge Advantage - industry experience:

• Experience analyzing complex in-app purchase economies, subscription funnels, coin/reward systems, and LTV models.
• Direct experience with streaming platforms, content performance analytics, or digital media data.
• Experience working with Braze, Iterable, or similar CRM/engagement platforms and integrating their data into the warehouse.

WHY JOIN US

Reinvent Entertainment

Help shape a new era of personalized entertainment. Fast, immersive storytelling built for audiences anywhere, anytime.

Reach Millions

Create products and stories that connect with global audiences and are enjoyed by millions every day.

Own Your Impact

Move fast in an entrepreneurial environment where creativity, innovation, and initiative drive real influence from day one.

Work With Exceptional Talent

Collaborate with world-class creatives, producers, engineers, and product leaders across entertainment and technology.