Sr. Software Engineer, Data Analytics Engineering
Join Pinterest as a Sr. Software Engineer to enhance data analytics and engineering for impactful product development.
Posted by employer 11 hours ago
First seen on Joblaze 2 hours ago
Last verified on the company career page 2 hours ago
What you'll build
- Develop and document instrumentation and experimentation standards
- Build and improve scalable analysis pipelines and tooling
- Create tools for Data Scientists and Engineers to access datasets
- Identify data quality gaps and advocate for improvements
- Maintain documentation for tools and datasets
Must have
- Minimum of 4 years of experience delivering analytics engineering
- Experience using SQL and Python, R or comparable language
- Experience building and operating data workflows
- Demonstrated ability to use AI to improve engineering workflows
- High integrity and ownership
Practical constraints
- In-office collaboration 1–2 times per month
- This position is not eligible for relocation assistance
AI in the day-to-day
Use AI to accelerate analysis, prototyping and iteration, while applying judgment and verification.
Requirements
- Experience
- 4+ years
- Education
- Bachelor's degree
- Visa
- No sponsorship (stated in posting)
Joblaze summary
The Sr. Software Engineer in Data Analytics Engineering at Pinterest focuses on enhancing data quality and accessibility by developing scalable analysis pipelines and analytics tools. Proficiency in SQL and Python, along with experience in building data workflows, is essential for this role. This position is suited for candidates with at least four years of experience in analytics engineering, particularly those who can effectively collaborate across various teams. The role emphasizes the responsible use of AI to improve engineering workflows while maintaining high standards of data integrity.
Joblaze insights
- Listed today — first seen on Joblaze October 7, 2026. Last confirmed on Pinterest's careers page October 7, 2026.
- Salary band is in line with the typical range for Data Engineering roles (median ~$180,656).
- Starts above 82% of 140 comparable senior data engineering roles in United States that list Python we track (median $180,656 across 40 companies). See Python salary trends
- Python appears in 80.4% of 219 comparable senior data engineering roles in United States; ELT appears in 0.5% of 219 comparable senior data engineering roles in United States.
Quick facts
- Is the Sr. Software Engineer, Data Analytics Engineering role remote?
- It's hybrid — Pinterest expects some on-site time in San Francisco, CA, United States.
- What's the salary range?
- Pinterest lists $183,040–$320,320 for this role.
- How much experience is required?
- At least 4 years of relevant experience for this Sr. Software Engineer, Data Analytics Engineering role.
- Where is the role based?
- Pinterest is hiring for this position in San Francisco, CA, United States.
- What's the tech stack?
- Joblaze extracted these technologies from the posting: ELT, ETL, Python, R, SQL.
- What seniority level is this role?
- Pinterest targets senior candidates for this position.
- Is this full-time or contract?
- Full-time for this Sr. Software Engineer, Data Analytics Engineering role at Pinterest.
From the original posting
About Pinterest:
We’re looking for a Sr. Software Engineer , 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 4 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:
In-Office Requirement Statement:
- PinFlex: 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
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.
Our Commitment to Inclusion:
Standard company text repeated across Pinterest's postings is omitted here.