Data Engineer, Growth

About Midas Team

• We solve challenging problems and build 10x better products.
• We expect hard work, high ownership, a strong desire to learn.
• We bring the best people, holding high quality standards, and an environment of speed and ambition.
• You will get to push your boundaries and learn from the best.

Results Expected

• Achieve >99% data accuracy - measured over rolling 90-day periods - for all Performance Marketing metrics, validated through automated testing and monitoring
• Build and maintain data pipelines and integrations that feed marketing attribution, cohort analysis, and ROI modeling — with zero recurring incidents that could impact spend decisions
• Build and maintain data pipelines that enable rapid experimentation, reducing time-to-experiment by 50%+ within 6 months through automated data collection and analysis
• Design and implement data models that empower new experiment capabilities, increasing the number of experiments launched by 25%+ within 6 months
• Design and implement attribution models that enable successful attribution of conversion signals across marketing channels, with model predictions validated against holdout incrementality tests showing <20% error rate
• Implement full observability across marketing data pipelines — monitoring, alerting, and automated anomaly detection — with <1 hour mean time to detection for data quality issues

Technical Competencies

• Builds robust, tested data pipelines using SQL, Python, and orchestration tools like Airflow (but remains tool-agnostic and adaptable)
• Designs data models that support causal inference, experimentation, and marketing attribution
• Understands the statistics behind A/B testing — power analysis, variance reduction, multiple testing corrections, and when to ship results
• Writes clean, version-controlled code and integrates data quality checks into every pipeline
• Thinks in systems — designs for monitoring, debugging, and long-term maintainability from day one

Cultural Competencies

• Takes full ownership — doesn't wait, just solves.
• Questions assumptions and rebuilds from first principles.
• Balances speed and quality — ships fast, but always clean.
• Collaborates fluidly across teams; communicates clearly, with empathy and precision.