PROJECT - Data Engineer II

About this kind of role

What a PROJECT - Data Engineer II usually does. The employer's own details are in the listing.

Typically does: Data Engineers design, build, and maintain data infrastructure to support data analysis and business intelligence. They transform raw data into usable formats, ensuring data quality and reliability. This often involves developing and implementing ETL (Extract, Transform, Load) processes and data pipelines. They also collaborate with data scientists, analysts, and other stakeholders to understand data needs and deliver effective solutions.

Tools and skills: Proficiency in SQL, Python or Java, data warehousing technologies (like Snowflake or Redshift), and experience with big data platforms (such as Hadoop or Spark) are commonly required.

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.