Cardlytics
Senior Principal Data Engineer
Remote, US · 1mo ago
Not specified10+ YOE
Quick summary
AI parsed- Experience
- 10+ years data engineering with MLOps pipeline expertise; proficiency in Python, SQL, PySpark, Databricks, MLflow, Unity Catalog; time-series forecasting and causal inference knowledge
Responsibilities
- Design and architect a unified MLOps and forecasting platform on Databricks, leveraging MLflow for model orchestration and Databricks SQL for high-scale data processing
- Build and maintain automated pipelines for campaign performance forecasting, budget utilization prediction, and incrementality testing using historical transaction data
- Establish CI/CD and deployment standards to ensure models are scalable, frequently refreshed, and easily debugged; define data quality and telemetry standards
- Act as technical mentor for senior and staff engineers, partner with Applied Scientists and product stakeholders to translate business goals into technical roadmaps
Benefits
Flexible paid time off plus company holidays · Medical, dental, and vision insurance begins on first day · 401(k) retirement plan with company match and student loan debt repayment option · Employee Stock Purchase Plan · Educational assistance for continuing education · Lifestyle Spending Account for wellness · Complimentary Calm app subscriptions
Full description
About Cardlytics
Founded in 2008, Cardlytics (NASDAQ: CDLX) is the industry-leading purchase intelligence and incentives platform. We make commerce smarter and more rewarding for everyone by helping businesses attract, understand, and incentivize consumers through our partners' digital reward programs. Join us on our mission to make commerce smarter and more rewarding for everyone!
About the Team
The Ads Marketplace team at Cardlytics comprises a dynamic group of scientists and engineers dedicated to rethinking and redefining ad delivery and optimization at scale. Our work directly impacts m…