Remote Staff Data Engineer (Generative AI)

Description:

• We are seeking a Staff Data Engineer to build the next generation of data pipelines and applications using emerging technologies, including generative AI and large language models.
• The role involves operational management of large language models in production environments.
• The Staff Data Engineer will design data integration frameworks and pipelines while being hands-on when necessary.
• Responsibilities include designing, building, and scaling data pipelines across various source systems and streams, including internal, third-party, and cloud-based systems.
• A deep understanding of Machine Learning best practices and algorithms is required.
• The candidate should have a solid understanding of data modeling, warehousing, and architecture principles.
• The role requires collaboration with cross-functional teams to understand data requirements and develop efficient data acquisition and integration strategies.
• The Staff Data Engineer will coach and guide others in building scalable pipelines based on foundational data engineering principles.
• The position involves developing automated tests for code and creating documentation for developers and business users.
• The candidate will deploy to cloud-based platforms and troubleshoot application, cloud, and configuration issues as necessary.

Requirements:

• A minimum of 8 years of experience in a data engineering role, with a strong emphasis on leading data engineering teams is required.
• The candidate must be able to think critically about problems and effectively use resources to find solutions.
• Proven ability to thrive in an agile development environment and adapt to changing priorities is essential.
• Understanding of REST-based APIs, vectorized embeddings, and other Retrieval Augmented Generation AI workload components is necessary.
• Direct experience with data modeling, ETL/ELT development principles, cloud development, and data warehousing concepts is required.
• Knowledge of cloud technologies such as AWS, Azure, and GCP is essential.
• Experience in building data pipelines using Python/SQL or similar programming languages is required.
• A Bachelor's degree in computer science, Data Science, Statistics, Informatics, Information Systems, or a related field is necessary.

Benefits:

• This position is fully remote, allowing employees to work from their residence.
• The role is eligible for company-sponsored benefits, including medical, dental, and vision insurance.
• Employees will have access to a 401(k) plan, paid leave, and tuition reimbursement.
• A variety of discounts and perks are available to employees.
• The salary range for this position is $130,000 - $170,000 and is bonus eligible.