Senior Data Engineer

Description 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.