Senior Machine Learning Data Engineer - Great American Risk Solutions

About the Role

Key Responsibilities

• Design and optimize data pipelines and architectures for integration, storage, and retrieval.
• Implement ETL processes to ensure seamless data flow and maintain quality.
• Ensure data accuracy, consistency, and integrity across databases and warehouses.
• Develop feature engineering pipelines for machine learning using tools like Azure ML and Python libraries.
• Design automated testing frameworks for unit, integration, and performance tests.
• Optimize workflows for performance, cost-efficiency, and scalability.
• Mentor team members in data principles and practices to promote best practices.
• Draft and review documentation for architectural diagrams and interface specifications.
• Monitor and optimize database performance for efficient data retrieval.
• Collaborate with analysts, scientists, and stakeholders to meet data requirements.
• Identify and implement process improvements in data engineering.
• Participate in talent selection, development, and performance management of staff.
• Perform other duties as assigned.

Requirements

• Bachelor's degree in Information Technology, Computer Science, Software Engineering, or a related field.
• 6+ years experience in data engineering or a related field.
• Advanced proficiency in programming languages including Python or R.
• Proficiency in SQL and experience with relational database management systems (RDBMS) such as Snowflake, MySQL, or Oracle.
• Knowledge of data modeling, data architecture, and data governance techniques.
• Advanced experience with cloud platforms and modern development frameworks.
• Experience working in Agile/Scrum environments.
• Develops time estimates and other project management elements for small to moderately complex project deliverables.
• Provides technical expertise across a range of applications, systems and/or technologies.
• Strong analytical and problem-solving skills, with the ability to troubleshoot complex software issues.
• Maintains a strong understanding of machine learning concepts and their software engineering implications.
• Demonstrates strong knowledge of department policies and procedures, as well as the business and organization.
• Maintains knowledge of industry trends and technologies to continuously improve data engineering solutions.

Nice to Have

• Experience with modern development frameworks.
• Experience developing and managing data models and data governance techniques.

Qualifications

• Bachelor's degree in relevant field.
• 6+ years of experience in data engineering or related field.

Benefits & Perks

• Competitive Total Rewards package including medical, dental, and vision plans starting on day one.
• Paid time off, holidays, commuter benefits, and education reimbursement.
• Paid parental leave and adoption assistance.
• 401(k) plan with company match.