Senior Data Engineer, AI Systems

About this kind of role

What a Senior Data Engineer, AI Systems usually does. The employer's own details are in the listing.

Typically does: Data Engineers design, build, and maintain data infrastructure to support machine learning and artificial intelligence initiatives. They focus on creating robust and scalable data pipelines that transform raw data into usable formats for data scientists and machine learning engineers. This often involves working with large datasets, ensuring data quality, and optimizing data storage solutions. They also collaborate with other engineers and stakeholders to understand data needs and implement effective data solutions.

Tools and skills: Proficiency in programming languages like Python and SQL, experience with cloud platforms (such as AWS, Azure, or Google Cloud), and familiarity with data warehousing technologies, ETL tools, and big data frameworks (like Spark or Hadoop) are generally expected.

Good fit for: Individuals with strong analytical and problem-solving skills, a passion for data, and the ability to work effectively in a fast-paced, collaborative environment often thrive in this role.