Senior Data Engineer

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.
  
  

• 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).
  
  

• 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.