Data Engineer

📋 Description

• Design, build, and maintain highly scalable, reliable, and efficient data pipelines for extracting
• Collaborate with data scientists, analysts, and other stakeholders to understand data requirements
• Optimize and automate data workflows, ensuring that data pipelines are efficient, reliable, and
• Oversee the development of data models and schema designs to ensure accurate, accessible, and
• Ensure data quality, integrity, and consistency by implementing data validation, monitoring, and
• Monitor and troubleshoot performance bottlenecks in data systems, resolving issues with data

🎯 Requirements

• Typically has a Bachelor's degree in Computer Science, Information Systems, Data Engineering, or a
• 5+ years of experience.
• Strong understanding of data validation, model testing, and performance evaluation techniques.
• Experience with data visualization and storytelling using tools such as Tableau, Plotly, or
• Excellent technical communication skills, with the ability to explain complex concepts to
• Preferred: 4+ years of experience in applied data science, machine learning engineering, or data

🎁 Benefits

• Employees are valued as family members and the culture is a top priority.
• Core values: Happy, Helpful, Honest, Humble, Hungry, Hustle.
• Equal Opportunity Employer/Protected Veterans/Individuals with Disabilities.