Staff Data Engineer - Remote

Overview

The Staff Data Engineer role focuses on building the next generation of data pipelines and applications using emerging technologies, including generative AI and large language models. This position involves collaboration with various stakeholders to create scalable analytics applications and data integration frameworks.

In Short

• Design and build scalable data pipelines across various systems.
• Implement machine learning best practices and algorithms.
• Collaborate with cross-functional teams to understand data requirements.
• Become a subject matter expert in data engineering technologies.
• Coach and guide others to build scalable pipelines.
• Participate in development sprints and retrospectives.
• Deploy to cloud-based platforms and troubleshoot issues.
• Utilize tools for code and test generation.
• Create documentation for developers and business users.
• Work collaboratively in a matrixed organization.

Requirements

• 8+ years of experience in data engineering.
• Strong understanding of data modeling and ETL/ELT principles.
• Experience with cloud technologies like AWS, Azure, GCP.
• Proficient in Python/SQL for building data pipelines.
• Familiarity with generative AI technologies.
• Bachelor's degree in a related field.
• Effective communication and collaboration skills.
• Ability to thrive in an agile development environment.
• Experience with data management fundamentals.
• Knowledge of big data technology stacks is a plus.

Benefits

• Medical, dental, and vision insurance.
• 401(k) plan.
• Paid leave and tuition reimbursement.
• Variety of discounts and perks.
• Opportunity to work in a diverse and inclusive culture.