Staff Software Engineer, Data Processing Infrastructure

This job was posted over 30 days ago, so it has most likely closed. See newer jobs like it.

Written by AI from the job title and company, not by Pinterest, so some details may not match this job. The employer's own page has the real description.

Job Overview

The Staff Software Engineer for Data Processing Infrastructure at Pinterest will play a critical role in designing, developing, and maintaining robust data processing pipelines that support the scalability and efficiency of data operations across the platform. This role requires collaboration with cross-functional teams to implement innovative solutions, improve system performance, and ensure data integrity. The ideal candidate will contribute to architectural decisions and guide best practices in software engineering to enhance Pinterest's data ecosystem.

Job Responsibilities

• Architect and develop scalable data processing systems and infrastructure to handle large volumes of data.
• Design, implement, and optimize ETL (Extract, Transform, Load) processes for efficient data flow.
• Collaborate with data scientists and product teams to identify data processing needs and deliver solutions that meet those requirements.
• Monitor system performance, troubleshoot issues, and implement enhancements for reliability and efficiency.
• Develop documentation and guidelines for data processing architecture and methodologies.
• Mentor junior engineers and contribute to team knowledge sharing to foster a culture of continuous learning.

Qualifications

• Bachelor’s or Master’s degree in Computer Science, Engineering, or a related field.
• 5+ years of experience in software engineering with a strong background in data processing and infrastructure.
• Proficiency in programming languages such as Python, Java, or Scala.
• Experience with distributed systems and cloud computing platforms (e.g., AWS, Google Cloud Platform, or Azure).
• Familiarity with data storage and processing technologies including SQL, NoSQL databases, and Hadoop or Spark frameworks.
• Strong analytical and problem-solving skills, able to devise effective engineering solutions under tight deadlines.

Technologies & Tools

The Staff Software Engineer will work with a variety of technologies and tools including distributed computing frameworks such as Apache Spark, data storage solutions like Amazon S3, and data pipeline orchestration tools. Familiarity with relational databases (e.g., MySQL, PostgreSQL) and data processing languages (e.g., SQL, Python) is expected. Additionally, the role will utilize cloud infrastructure tools and platforms as part of the development and implementation processes.

Ideal Candidates

Ideal candidates for this position are those who possess a strong technical foundation and have a passion for data-driven solutions. They are highly collaborative, possess excellent communication skills, and demonstrate the ability to work effectively with diverse teams. A candidate with a proactive mindset, innovative thinking, and an eagerness to tackle complex challenges will thrive in this dynamic environment. Furthermore, adaptability to changing technologies and willingness to mentor others are critical traits sought after in this role.