Senior Data & ML Feature Engineer

Senior Data & ML Feature Engineer

Position: Fulltime

Location: Strongsville, OH

Duration: Long term

Job description:

Required qualifications to be successful in this role

. 6–10 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

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

Platform & Engineering

. 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 feature logic