Staff Data Engineer - Infra & Cost Analytics (Remote)

Pinterest

United States

Hybrid

USD 177,000 - 365,000

Full time

14 days+

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Benefits offered by this job

Equity

Job summary

Pinterest is seeking a Staff Software Engineer to build data systems powering infrastructure usage and cost insights. You’ll lead design and hands-on delivery of pipelines, models, and services for budgeting workflows across teams.

In this individual-contributor role, you’ll shape technical direction, mentor peers, and scale data products with AI-enabled capabilities to improve accuracy, speed, and self-serve insights while protecting sensitive information.

Qualifications

  • Bachelor’s degree in CS or related field; equivalent practical experience.
  • Extensive experience designing and operating production data systems at scale.
  • Strong Python and SQL, with tested, maintainable production code.
  • Experience with ingestion, ETL, data modeling, and workflow orchestration.
  • Ability to lead cross-team technical work and mentor engineers.
  • Experience with AWS or similar cloud environments.

Responsibilities

  • Design, build, and operate ingestion and transformation pipelines and data models.
  • Own data contracts, quality checks, reconciliation, and monitoring.
  • Lead cross-functional initiatives from problem framing to rollout and adoption.
  • Leverage AI to scale data insights and automate workflows.

Skills

Python
SQL
Data pipelines
ETL
Data modeling
Mentoring
AI integration
AWS

Education

Bachelor’s degree in Computer Science or related field

Tools

AWS
dbt
Airflow

Job description

Pinterest is seeking a Staff Software Engineer to build data systems powering infrastructure usage and cost insights. You’ll lead design and hands-on delivery of pipelines, models, and services for budgeting workflows across teams.

In this individual-contributor role, you’ll shape technical direction, mentor peers, and scale data products with AI-enabled capabilities to improve accuracy, speed, and self-serve insights while protecting sensitive information.

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