Data Engineer

To support the analytics team, the full-time Data Engineer will design and implement scalable ETL processes, perform data extraction and manipulation, and build utilities to enhance data flow, while being open to relocation within the United States. Key responsibilities Collaborate with the analytics team to develop reliable data solutions that meet business needs Design and implement scalable ETL or ELT processes to support data demand Build utilities and frameworks to improve data flow patterns and conduct integration testing Required qualifications Master's Degree in Computer Science, Information Technology, Data Analytics, Data Science, or a related discipline Intermediate proficiency in Python, with experience in data processing tools like Numpy and Pandas preferred Experience with relational databases such as SQL Server, Oracle, or MySQL Passion for data and a strong desire to learn Ability to work independently and collaboratively within a team