Software Engineer II, Data Analytics & Engineering
San Francisco, CA, US; Remote, US
- Pay
- Pay not listedSimilar roles state $127K–$190K
- Work setting
Remote — work setting source
Listed location: San Francisco, CA, US; Remote, US
Read the full posting- Employment
- Not stated
What you’ll work on
Full postingBuild and improve scalable analysis pipelines and tooling for reliable insights
Create tools and processes so data scientists can access trusted datasets and metrics
Develop and document instrumentation and experimentation standards with product teams
Identify data quality and discoverability gaps and advocate for fixes
Maintain clear documentation for tools, datasets, metrics and practices
From the employer’s posting
Build and improve scalable analysis pipelines and tooling that produce reliable insights at scale
Create tools and processes that enable Data Scientists and Engineers to independently access trusted datasets, insights and metric definitions.
Develop and document practical instrumentation and experimentation standards, then partner with product engineering teams to apply them to priority product development work.
Identify data quality and discoverability gaps, advocate for targeted improvements and contribute to reliable, well-governed data practices.
Maintain clear documentation for tools, datasets, metrics and operating practices to make team data assets easier to use.
Education & alternatives
- High integrity and ownership: you protect sensitive data, avoid over-reliance on AI and remain accountable for final decisions and deliverables. - Bachelor’s degree in a relevant field such as Computer Science, Statistics, Mathematics or a related discipline, or equivalent experience. Relocation Statement:
Tools in this posting
- Python
- R
- SQL
Source — Tool mentions in context
- Minimum of 2 years of experience delivering analytics engineering or data solutions in a fast-paced, data-driven environment. - Experience using SQL and Python, R or a comparable programming language to work with large, high-dimensional datasets, including nested data structures, window functions, query optimization and data partitioning. - Experience building and operating data workflows, including workflow orchestration, ETL/ELT pipelines and DAG dependencies across complex datasets.
About Pinterest
Millions of people around the world come to our platform to find creative ideas, dream about new possibilities and plan for memories that will last a lifetime.
In the employer’s words · Read in context
Posting record
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- Live
- First seen by us
- Sep 23, 2026 · 36 days ago
- Recorded sightings
- 73
- Last seen by us
- Oct 29, 2026
These dates show when we found the posting. Check the employer’s website to confirm it is still accepting applications.
Your next step
- Have your resume and examples of relevant work ready.
- Check the listed location, eligibility and core experience before starting.
- Ask the employer about the pay range before committing time to the process.
Complete your application on www.pinterestcareers.com. The employer’s form will show what is required.
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Job description
About Pinterest:
Millions of people around the world come to our platform to find creative ideas, dream about new possibilities and plan for memories that will last a lifetime. At Pinterest, we’re on a mission to bring everyone the inspiration to create a life they love, and that starts with the people behind the product.
Discover a career where you ignite innovation for millions, transform passion into growth opportunities, celebrate each other’s unique experiences and embrace the flexibility to do your best work. Creating a career you love? It’s Possible.
At Pinterest, AI isn't just a feature, it's a powerful partner that augments our creativity and amplifies our impact, and we’re looking for candidates who are excited to be a part of that. To get a complete picture of your experience and abilities, we’ll explore your foundational skills and how you collaborate with AI.
Through our interview process, what matters most is that you can always explain your approach, showing us not just what you know, but how you think. You can read more about our AI interview philosophy and how we use AI in our recruiting process here.
Job Title: Software Engineer II, Data Analytics and Engineering
Intro: We’re looking for a Software Engineer II, Data Analytics and Engineering to improve the quality, reliability and velocity of data science and product development at Pinterest. You’ll build scalable data foundations, analytics tooling and analysis pipelines that enable trusted, self-service access to datasets, insights and metric investigations across cross-functional teams.
What you’ll do:
- Develop and document practical instrumentation and experimentation standards, then partner with product engineering teams to apply them to priority product development work.
- Build and improve scalable analysis pipelines and tooling that produce reliable insights at scale and strengthen understanding of key data structures and metrics.
- Create tools and processes that enable Data Scientists and Engineers to independently access trusted datasets, insights and metric definitions.
- Identify data quality and discoverability gaps, advocate for targeted improvements and contribute to reliable, well-governed data practices.
- Maintain clear documentation for tools, datasets, metrics and operating practices to make team data assets easier to use.
- Partner with Product, Engineering, Data Science, Data Engineering and Business Intelligence teams to communicate actionable insights and inform product improvements.
- Use AI to accelerate analysis, prototyping and iteration, while applying judgment and verification to ensure correctness, quality and responsible use.
What we’re looking for:
- Minimum of 2 years of experience delivering analytics engineering or data solutions in a fast-paced, data-driven environment.
- Experience using SQL and Python, R or a comparable programming language to work with large, high-dimensional datasets, including nested data structures, window functions, query optimization and data partitioning.
- Experience building and operating data workflows, including workflow orchestration, ETL/ELT pipelines and DAG dependencies across complex datasets.
- Experience translating open-ended partner needs into clear, impactful technical objectives and collaborating across Product, Engineering, Data Science, Data Engineering and Business Intelligence teams.
- Demonstrated ability to use AI to improve speed and quality in day-to-day engineering workflows.
- Strong track record of critically evaluating and verifying AI-assisted work through testing, data validation, source-checking or peer review.
- High integrity and ownership: you protect sensitive data, avoid over-reliance on AI and remain accountable for final decisions and deliverables.
- Bachelor’s degree in a relevant field such as Computer Science, Statistics, Mathematics or a related discipline, or equivalent experience.
Relocation Statement:
- This position is not eligible for relocation assistance. Visit our PinFlex page to learn more about our working model.
In-Office Requirement Statement:
- We recognize that the ideal environment for work is situational and may differ across departments. What this looks like day-to-day can vary based on the needs of each organization or role.
- This role will need to be in the office for in-person collaboration 1–2 times per month and therefore can be situated anywhere in the country.
#LI-REMOTE
#LI-AG8
At Pinterest we believe the workplace should be equitable, inclusive, and inspiring for every employee. In an effort to provide greater transparency, we are sharing the base salary range for this position. The position is also eligible for equity. Final salary is based on a number of factors including location, travel, relevant prior experience, or particular skills and expertise.
Information regarding the culture at Pinterest and benefits available for this position can be found here.
Our Commitment to Inclusion:
Source details
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- Pay
No pay amount identified in the saved description.
- Location & working pattern
San Francisco, CA, US; Remote, US
- This role will need to be in the office for in-person collaboration 1–2 times per month and therefore can be situated anywhere in the country. #LI-REMOTE #LI-AG8
- Work authorization
No clear work-authorization passage found. Eligibility is unconfirmed.
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