As a Data Engineer - Machine Learning at Glidewell, you will play a key role in building the data foundation that supports advanced analytics, artificial intelligence, and data-driven decision-making across the organization. This position offers the opportunity to work with large-scale data systems, collaborate with cross-functional teams, and deliver impactful solutions that drive business innovation.
Essential Functions:
- Designs, develops, implements, and optimizes data pipelines and database solutions, including stored procedures, views, functions, and data transformation processes, using Python and other open-source programs.
- Designs and implements scalable data ingestion, integration, and transformation solutions to consolidate data from multiple internal and external sources into data warehouse environments.
- Partners with stakeholders to evaluate data requirements and translate business needs into data models, technical specifications, integration requirements, and sustainable solutions.
- Defines and implements data models, business metrics, and calculations, ensuring consistency, accuracy, traceability, and usability of data across reporting and analytics solutions.
- Leads the investigation and resolution of complex data engineering and performance issues, performing root-cause analysis and developing solutions to improve data quality, reliability, scalability, and system performance.
- Evaluates existing data engineering processes, tools, and solutions and recommends enhancements and best practices to improve automation, scalability, maintainability, data quality, and operational efficiency.
- Provides technical expertise for competitive intelligence and departmental initiatives, evaluating data requirements and capabilities and recommending data solutions that support business objectives and strategy.
- Leads or contributes technical expertise to data engineering projects and cross-functional initiatives, coordinating technical requirements, identifying dependencies and risks, and supporting successful implementation of data solutions.
- Designs and develops data solutions for reports, dashboards, analytics, and business applications, ensuring underlying data structures and processes meet business, performance, and quality requirements.
- Establishes and maintains data engineering documentation, standards, and technical procedures, including data models, pipeline architecture, database objects, data definitions, business rules, and operational processes.
- Serves as a technical resource to peers and stakeholders, providing guidance on data engineering practices, reviewing technical solutions, and sharing knowledge and best practices.
- Performs other related duties and projects as business needs require at direction of management.
Education and Experience:
- Bachelor’s degree in Data Analytics, Data Analysis, Computer Science, or a related field.
- Minimum eight (8) years of progressive experience in data engineering, data warehousing, or a related technical field.
- Experience working with cloud-based data platforms and services, including Amazon Web Services (AWS).
- Experience with Python and other open-source programs.
Pay Range: $120,000.00 - $160,000.00/yr
