Senior Data Engineer

Job Description

Job Description

Senior Data Engineer

Location: Remote (U.S.) or New York City

Type: Full-Time

We're seeking a talented Senior Data Engineer to help reshape how brands communicate—by empowering them to market with precision, not excess. You’ll play a pivotal role in building scalable systems that turn noisy customer data into clear insights for smarter machine learning decisions. It’s a fast-moving, hands-on role with a tight-knit engineering team and real impact from day one.

Responsibilities

• Architect and maintain robust data pipelines that scale across high-volume sources
• Develop an event taxonomy and normalization layer for clean, consistent data ingestion
• Use tools like Airflow and dbt to manage data workflows and transformation
• Collaborate with data science and ML teams to support model training and deployment
• Design optimized data models for reliable storage and analysis
• Monitor data workflows and troubleshoot issues across the full pipeline
• Implement ETL/ELT processes with a sharp eye for performance and reliability
• Contribute to feature engineering and A/B test infrastructure in big data environments
• Uphold high standards for data quality, security, and governance

You Bring

• 5+ years in data engineering, working with complex, high-volume systems / significant data. Think Spotify, Wayfair, Shopify, Netflix etc...
• Strong Python and SQL chops
• Experience with asynchronous Python
• Familiarity with DAG tools like Airflow, dbt, or Dagster
• Comfort jumping between reporting layers and infrastructure architecture
• Solid understanding of cloud platforms (AWS, GCP, Azure) and deploying data solutions
• Knowledge of dev-ops best practices and containerized environments
• Strong communication skills—able to translate technical complexity clearly
• Ownership mindset with a bias for building, refining, and shipping production-quality systems

The position is fully remote but you must be based in the US. We will pay up to $230k per annum + benefits