Data Engineer II - Spark, Scala & AWS in Big Data

Pinterest; San Francisco (CA); On-site; USD 123,696 - 254,667; Full time

Job summary

Pinterest is seeking a Data Engineer to design and implement robust data infrastructure in AWS, using Spark and Scala. You will collaborate with cross-functional teams to evolve our core data pipelines and ensure efficient scaling as we drive massive growth.

The ideal candidate has production data engineering experience, strong proficiency in AWS, and excellent communication skills. This role requires a bachelor's degree in Computer Science or a related field, and offers an annual salary between $123,696 and $254,667.

Qualifications

• Experience delivering APIs backed by relationship-heavy datasets.
• Familiarity with data lakes and cloud warehouses.
• Strong track record of critical evaluation and AI validation.

Responsibilities

• Design and implement robust data infrastructure in AWS.
• Evolve core data pipelines to efficiently scale.
• Collaborate with cross-functional teams for business needs.

Skills

Production data engineering experience

Proficiency in Spark and Scala

Strong proficiency in AWS services

Expertise in SQL

Excellent written and verbal communication skills

Education

Bachelor’s degree in Computer Science or a related field

Tools

AWS

Spark

Scala

Job description

Pinterest is seeking a Data Engineer to design and implement robust data infrastructure in AWS, using Spark and Scala. You will collaborate with cross-functional teams to evolve our core data pipelines and ensure efficient scaling as we drive massive growth.

The ideal candidate has production data engineering experience, strong proficiency in AWS, and excellent communication skills. This role requires a bachelor's degree in Computer Science or a related field, and offers an annual salary between $123,696 and $254,667.