# Staff Software Engineer, Infrastructure Data Engineering

**Company**: Pinterest
**Location**: New York, NY
**Work arrangement**: hybrid
**Experience**: staff
**Job type**: full-time
**Salary**: $177,185-$364,795 USD
**Category**: Engineering
**Industry**: Technology

**Apply**: https://job-boards.greenhouse.io/pinterest/jobs/8162539?utm_source=yubhub.co&utm_medium=jobs_feed&utm_campaign=apply
**Canonical**: https://yubhub.co/jobs/job_4715cdb2-5ff

## Description

Pinterest is seeking a Staff Software Engineer to build data systems that help teams understand and manage infrastructure usage and cost. You'll lead the design and hands-on delivery of reliable data products, including pipelines, models, and services, that support infrastructure planning, cost attribution, and budget workflows.

In this individual-contributor role, you'll shape technical direction, navigate complex cross-team work, and make infrastructure data more accurate, consistent, and useful.

Responsibilities:

- Set technical direction and help define a roadmap for reliable, scalable infrastructure data products

- Design, build, and operate production ingestion and transformation pipelines, data models, and services for infrastructure usage, cost, ownership, and planning

- Strengthen shared data products with clear contracts, automated quality checks, reconciliation, documentation, and operational monitoring

- Lead ambiguous, cross-functional initiatives from problem definition and technical trade-offs through rollout and adoption; raise the engineering bar through mentorship and design reviews

- Leverage AI to scale the impact of yourself and the team, including accelerating investigation of data-quality or pipeline issues, speeding up implementation and documentation of data transformations and interfaces, and exploring ways to help partners self-serve trusted infrastructure insights

Requirements:

- Bachelor's degree in computer science, a related field, or equivalent practical experience

- Significant experience designing, building, and operating production data systems or data-intensive services at scale

- Strong software engineering skills in Python and SQL, with a record of writing tested, maintainable production code

- Deep experience with ingestion, large-scale ETL and transformation, data modeling, and workflow orchestration

- Experience designing data interfaces and contracts and improving quality, freshness, completeness, and consistency

- A track record of leading complex technical work across teams, from framing ambiguous problems to delivery and operation

- Ability to influence through technical judgment and clear communication and to mentor other engineers

- Experience operating dependable data pipelines or services, including testing, monitoring, and incident response

- Experience with AWS or similar cloud environments

- Demonstrated ability to use AI to improve speed and quality in your day-to-day workflow for relevant outputs

- Strong track record of critical evaluation and verification of AI-assisted work

Benefits:

- Base salary range: $177,185-$364,795 USD

- Equity eligibility

- Flexible working model

Note: This role requires in-person collaboration 1-2 times/month.

## Skills

### Required
- Python
- SQL
- data engineering
- infrastructure planning
- cost attribution
- budget workflows
- AI

### Nice to have
- experience with infrastructure cost or usage data
- budgeting
- shared data platforms
- dbt
- data lineage
- modeling hierarchical ownership
- large, cloud-native multi-tenant platforms

---

Source: [Apply at job-boards.greenhouse.io](https://job-boards.greenhouse.io/pinterest/jobs/8162539?utm_source=yubhub.co&utm_medium=jobs_feed&utm_campaign=apply)