Software Engineer II, Data Analytics & Engineering

Pinterest

Confirmed live yesterday High trust
Remote

Quick summary

Work type
Remote
Location
San Francisco, CA
Salary
$123,696–$254,667 / yr
Posted
2 days ago
Freshness
Confirmed live yesterday

Market check

Salary context

Above market

How this pay compares to similar roles

Similar $148k
This role $189k
$88k most similar roles pay here $273k

This role pays more than 85% of similar roles. Most pay $126,787–$169,300 — the shaded band above. At the midpoint, this role pays about $189k versus about $148k for comparable roles.

Based on 240 similar postings.

Employer

About Pinterest

Pinterest is a visual discovery and inspiration platform where people find ideas for home, style, recipes, and more. It serves hundreds of millions of users worldwide through its image and video pinboard product.

Pinterest currently has 18 open roles on FindRole.

Listed pay typically runs $170,412–$334,457 across 18 roles with salary data.

Most-posted roles

View all roles at Pinterest

At a glance

TL;DR · Software Engineer II, Data Analytics & Engineering

As a Software Engineer II, Data Analytics & Engineering, you will join a team dedicated to improving the quality, reliability, and velocity of data science and product development. You will build scalable data foundations, analytics tooling, and analysis pipelines that provide cross-functional teams with self-service access to trusted datasets and metric investigations. Your daily work involves developing instrumentation standards, identifying data quality gaps, and maintaining documentation for tools and metrics. To succeed, you must be proficient in SQL and Python or R to manage large, high-dimensional datasets involving nested structures and query optimization. You will also build ETL/ELT pipelines and manage workflow orchestration. The role requires collaborating with Product, Engineering, and Data Science teams while utilizing AI tools to accelerate analysis and prototyping while ensuring data integrity and accuracy across all technical deliverables.

What does a Software Engineer earn in California?

Median $214000 from 776 postings across 67 companies.

See salary data

What you'll do

  • Develop and document instrumentation and experimentation standards for product engineering teams.
  • Build scalable analysis pipelines and tooling to produce reliable insights at scale.
  • Create tools and processes that enable data scientists to access trusted datasets independently.
  • Identify and resolve data quality and discoverability gaps to improve governance.
  • Maintain clear documentation for tools, datasets, metrics, and operating practices.
  • Use AI to accelerate analysis, prototyping, and iteration while ensuring accuracy through verification.
  • Translate complex partner needs into technical objectives for cross-functional teams.

What we're looking for

  • Minimum of 2 years of experience delivering analytics engineering or data solutions in a fast-paced environment.
  • Experience using SQL and Python, R, or comparable languages to work with large, high-dimensional datasets.
  • Experience building and operating data workflows, including orchestration, ETL/ELT pipelines, and DAG dependencies.
  • Ability to translate partner needs into technical objectives while collaborating across cross-functional teams.
  • Demonstrated ability to use AI to improve speed and quality in engineering workflows.
  • Track record of critically evaluating and verifying AI-assisted work through testing and data validation.
  • Bachelor’s degree in Computer Science, Statistics, Mathematics, or a related field, or equivalent experience.

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