Data Engineer, L3
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Job Description
Data Engineer (L3) designing scalable data architecture and robust data pipelines for social marketing. Collaborate in a fintech initiative providing insights on personal finance and growth marketing.
Responsibilities:
- Designing scalable data architecture
- Driving business outcomes (revenue, lead quality, conversion efficiency)
- Owning how data is used, trusted and acted upon
- Design, build, and maintain robust data pipelines for social marketing and product data sources (APIs, event streams, batch systems)
- Develop scalable ETL/ELT workflows / microservices using Python and SQL
- Ensure high data quality, reliability and observability across pipelines
- Optimize data models for analytics and reporting use cases
- Own ingestion and modeling of data from Meta Ads (Facebook) and other digital marketing platforms
- Build datasets that support: Campaign performance tracking, Lead funnel analysis, Attribution and conversion tracking
- Translate business requirements from marketing, growth and product teams into scalable data solutions
- Define success metrics tied to revenue and performance
- Enable self-serve analytics through well-structured datasets
- Implement validation checks, monitoring and alerting for pipelines
- Ensure consistency across different marketing data sources
- Maintain clear documentation of data models and pipelines
- Work closely with marketing, growth, and analytics teams to understand real-world use cases
- Own key use cases such as: Lead funnel optimization, Campaign attribution, Revenue reporting and forecasting
Requirements:
- Strong proficiency in Python (must-have)
- Advanced SQL skills for large-scale data processing
- Hands-on experience with data ingestion from APIs (rate limits, pagination, retries)
- Experience with data orchestration tools (e.g., Airflow or equivalent)
- Familiarity with cloud data platforms (BigQuery, etc.)
- Experience building scalable data ingestion systems
- Familiarity with microservices-style or modular data systems
- Strong understanding of performance and cost optimization
- Solid understanding of Meta Ads platform fundamentals
- Familiarity with: Campaign hierarchy and metrics (CTR, CPC, CPA, ROAS)
- Conversion tracking and attribution models
- Lead generation workflows and funnel metrics
- Ability to interpret marketing data beyond surface-level metrics
- Exposure to event tracking systems (GA4, Snowplow, etc.)
- Experience with other ad platforms (Google Ads, Bing Ads, etc.)
- Knowledge of data modeling best practices (e.g., star schema, dbt)
- Experience with real-time or near real-time data pipelines
Benefits:
- Day off on the 3rd Friday of every month (one long weekend each month)
- Monthly Wellness Reimbursement Program to promote health well-being
- Monthly Office Commutation Reimbursement Program
- Paid paternity and maternity leaves
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