Senior Data & ML Feature Engineer

Job order - J - Permanent Full Time

Title Senior Data & ML Feature Engineer

Category Analytics and Emerging Digital Technologies

City Strongsville, Ohio, United States

We are seeking an experienced Data & ML Feature Engineer with strong expertise in Python and big data technologies to join our team. This role focuses on operational excellence, including optimizing feature engineering pipelines and maintaining machine learning models in production environments. The desired candidate will work closely with platform and data science teams to ensure scalable, reliable, and high-performance ML workflows using existing frameworks.

This position will be performed onsite five days a week at our client site in Strongsville, OH. For this role on this particular client engagement, employer sponsorship of immigration related visa and/or green card status as part of the PERM process will not be available.

• 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

• 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
• Advanced Python and SQL programming skills
• Experience with Spark or Flink (large-scale data processing)
• Knowledge of advanced transformations, feature design patterns, and data modeling
• Hands‑on experience with feature store platforms such as Hopsworks, Feast, or Sage Maker
• Understanding of ML lifecycle, feature importance, and model input optimization
• Experience with data quality & validation frameworks, drift detection
• CI/CD pipelines and automated testing
• Cloud platform experience (Azure, AWS, or GCP)
• Monitoring, observability, and production debugging skills
• Performance tuning and scalability optimization experience
• 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

Compensation range: $62,900.00 – $.

• Competitive compensation
• Comprehensive insurance options
• Matching contributions through the 401(k) plan and the share purchase plan
• Paid time off for vacation, holidays, and sick time
• Paid parental leave
• Learning opportunities and tuition assistance
• Wellness and Well‑being programs

Qualified applicants will receive consideration for employment without regard to race, ethnicity, ancestry, color, sex, religion, creed, age, national origin, citizenship status, disability, pregnancy, medical condition, military and veteran status, marital status, sexual orientation, gender identity, and any other legally protected status or characteristics to the extent required by applicable federal, state, and/or local laws where we do business.

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