Senior Data Engineer

New Yesterday

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 communicateby empowering them to market with precision, not excess. Youll play a pivotal role in building scalable systems that turn noisy customer data into clear insights for smarter machine learning decisions. Its 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 skillsable 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
Location:
New York
Salary:
$150,000 - $230,000 per year
Job Type:
FullTime
Category:
Technology

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