Description:

The Senior Data Engineer will use Python and SQL to efficiently create, extract, transform, and optimize very large datasets.
The role involves troubleshooting data and data processes and developing solutions for improvement.
The engineer will develop and maintain data models, schemas, and documentation.
This position requires contributing as a hands-on engineer while sometimes taking the lead in the technical design and solution.
Daily collaboration with data scientists, food scientists, product owners, team members, API developers, architects, and DevOps engineers is expected.
The engineer will advise other developers, both junior and senior, and share best practices.
This job description is not intended to be all-inclusive; employees may be asked to perform additional tasks as required.

Requirements:

A minimum of 7 years’ experience using Python for analyzing, extracting, creating, and transforming large datasets is required.
Proficiency in Python 3+ and common Python libraries for data engineering and data science, specifically Pandas, NumPy, and SciPy, is necessary.
Deep experience with SQL and relational data using Oracle, Postgres, or MS SQL Server is essential.
A solid understanding of database design principles, data modeling, and data warehousing concepts is required.
Excellent troubleshooting skills and instincts are necessary for this role.
The candidate should be curious, self-motivated, and self-directed, and comfortable working within an Agile software development team with short, iterative delivery cycles.
A college degree or equivalent experience in computer science, software development, engineering, information systems, math, food science, or another applicable field of study is required.

The position offers a full-time remote work opportunity.
Employees may have the chance to work with cutting-edge technologies and collaborate with a diverse team of professionals.
The role provides opportunities for professional growth and development within the company.