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.

We may use artificial intelligence (AI) tools to support parts of the hiring process, such as reviewing applications, analyzing resumes, or assessing responses. These tools assist our recruitment team but do not replace human judgment. Final hiring decisions are ultimately made by humans. If you would like more information about how your data is processed, please contact us.