Senior Feature Engineer
Location: Cleveland OH / Pittsburgh PA / Dallas TX
Duration: Fulltime
Job Description:
10+ years in Data Engineering, Feature Engineering, or ML Engineering.
Proven experience designing production-grade data/feature pipelines.
Strong track record in scalable distributed data systems.
Experience working in enterprise AI/ML platforms or feature stores.
Prior mentoring or technical leadership experience.
Design and implement scalable, reusable feature pipelines (batch and real-time).
Develop complex feature transformations and advanced data modeling logic.
Optimize feature performance, latency, and cost efficiency.
Ensure feature quality, validation, and SLAs (freshness, accuracy, reliability).
Collaborate with Data Science and ML Engineering teams to align features with use cases.
Contribute to feature store architecture and standards.
Mentor Feature Engineers and promote engineering best practices.
Support production deployment, monitoring, and incident resolution.
Responsibilities:
Technical Skills:
- Programming: Advanced Python and SQL.
- Distributed Processing: Spark / Flink (large-scale data processing).
- Feature Engineering: Advanced transformations, feature design patterns.
- Data Modeling: Complex transformations, aggregation strategies.
- Feature Stores: Hands-on with platforms such as Hopsworks, Feast, SageMaker.
- ML Lifecycle Understanding: Feature importance, model input optimization.
- Data Quality & Validation: Drift detection, validation frameworks.
- CI/CD pipelines and automated testing.
- Cloud platforms (Azure / AWS / GCP).
- Monitoring, observability, and production debugging.
- Performance tuning and scalability optimization
Soft Skills:
- Technical leadership and mentoring.
- Cross-team collaboration (Data Science, MLOps, Platform).
- Strong problem-solving and optimization mindset.
- Ability to translate business use cases into features