At AriensCo, we build more than exceptional products – we create opportunities that impact careers. Our culture values innovative thinking, hard work and determination. We interact in teams, collaborate together and make decisions quickly.

We see growth potential in every team member, and are committed to supporting our employees with continuous training and advancement opportunities. 
 
Our environment? We’re corporate, without being “corporate.” Whether you work at our headquarters, manufacturing facilities, or one of our global distribution businesses, you’ll always have the freedom to create and contribute.  Our company vision is “Passionate People, Astounded Customers.” Quite simply: it revolves around people 
 
Speaking of people, you’re not just employee #1,762 to us. You’re family and your role is invaluable. Without exceptional people, we can’t continue to produce the amazing products we're known for around the world.
 
Ready for the ride of your career? Then come join us. By joining our team, you'll have the opportunity to work in a rewarding workplace with a strong sense of community. 

Job Description:

As a Data & AI Engineer, you will be responsible for developing and maintaining the infrastructure for data generation, collection, analysis, and AI modeling. You will ensure the integrity of AriensCo master data, scalability, and data quality standards. You will collaborate closely with cross-functional teams, including Manufacturing Technology, Autonomous Technology, business analysts, developers, and third-party partners, to design, implement, and maintain the data warehouse, data models, and AI models. Your expertise in data warehousing, data and AI modeling, data governance, and data quality will be essential for optimizing reporting, AI capabilities, and the organization’s data-driven decision-making.

THE DAY TO DAY...

• Data Pipeline Development:  Build and maintain data pipelines/ETL jobs for loading data from internal and external sources into the data warehouse while maintaining accurate and quality datasets.  Adhere to the AriensCo development standards for data extracting, transforming, and loading into the data warehouse
• AI Model Development:  Design, develop, and deploy machine learning and AI models with a strong understanding of AI frameworks and best practices.  Continuously monitor and optimize AI models for performance and accuracy
• Data Warehouse Maintenance:  Perform data warehouse maintenance, scheduling, and migrations for performance and accuracy.  Maintain the metadata layer for BI development and reference
• Data Analysis: Perform data preprocessing, cleaning, and analysis to extract actionable insights.  Understand BI reporting and visualization with some experience using Power BI or similar reporting applications
• Integration:  Work with the BI, integration, and software developers to integrate AI models for performance and accuracy
• Data Validation and Quality Assurance:  Perform data validation and quality assurance checks to identify and resolve data integrity issues, inconsistencies, and anomalies adhering to the organization's data quality standards and best practices
• Troubleshooting/Issue Resolution:  Identify and troubleshoot ETL job and AI model issues, data warehouse errors, and performance bottlenecks to ensure smooth and uninterrupted data flow
• Documentation:  Create and maintain technical documentation including data integration specifications, system and data flow diagrams, and system configurations
• Performance/Monitoring:  Generate reports and metrics to measure data warehouse and AI model performance and identify areas for improvement
• Collaboration/Communication:  Collaborate with cross-functional teams including business end-users, business analysts, developers and infrastructure/systems team members to gather requirements, understand data dependencies and ensure successful ETL jobs and AI models
• Data Governance/Security: Adhere to data governance policies, security and regulatory compliance requirements to protect sensitive and confidential data throughout the ETL and AI processes
• Continuous Improvement:  Stay updated with emerging data storage, movement, and AI technologies, tools and best practices.  Recommend & implement process improvements to enhance ETL and AI model efficiency, scalability and reliability

THE QUALIFICATIONS...

• Bachelor’s Degree in Computer Science, Data Science, Data or AI Engineering or related field; Master's Degree preferred
• A minimum of 3 years of experience in data engineering and AI model development
• Strong understanding of ETL concepts/