Senior Data Engineer, Python & API Development

About this kind of role

What a Senior Data Engineer, Python & API Development usually does. The employer's own details are in the listing.

Typically does: A Senior Data Engineer designs, builds, and maintains data pipelines and infrastructure to support data analysis and machine learning initiatives. They focus on data warehousing, ETL (Extract, Transform, Load) processes, and ensuring data quality and reliability. This role often involves collaborating with data scientists, analysts, and other engineers to understand data needs and deliver effective solutions. They may also be responsible for optimizing data systems for performance and scalability.

Tools and skills: Proficiency in Python, SQL, data warehousing technologies (like Snowflake or Redshift), API development, cloud platforms (such as AWS, Azure, or Google Cloud), and experience with data pipeline orchestration tools is generally expected.

Good fit for: Individuals with strong analytical and problem-solving skills, a passion for data, and the ability to work both independently and as part of a team typically thrive in this role.