Software Engineer II, Data

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 were 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 others unique experiences and embrace theflexibility to do your best work. Creating a career you love Its Possible.

At Pinterest AI isnt just a feature its a powerful partner that augments our creativity and amplifies our impact and were looking for candidates who are excited to be a part of that. To get a complete picture of your experience and abilities well 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.

As a Software Engineer (Data) you are a full stack data engineer that loves solving business problems with data. You work with key business and product leads analysts and data scientists to understand the business domain and how data can empower them. You engage with fellow engineers to develop better data platforms to make the process of producing data and deriving insights easy and efficient. You are passionate about the quality of the data you produce and take pride in having your data drive our business.

What youll do:

• Understand the business drivers and analytical use-cases and translate these to data products.
• Explore new technologies and learn new techniques to solve business problems creatively.
• Think big and drive the strategy for better data quality within Pinterest.
• Design implement and maintain pipelines that produce business critical data reliably and efficiently using cloud technology.
• Become the voice of business within engineering and of engineering within business.
• Create data visualizations that allow easy consumption of the data learnings and insights.
• Collaborate with many teams from Product Engineering and Business to produce relevant data solutions that can be used across multiple use cases.
• Leverage AI to seek faster execution (i.e. draft prototype outline) and explore alternative options (i.e. iterate compare approaches)
• Leverage AI to synthesize information (summarize distill themes) and automate repeatable tasks (documentation reporting QA checks)

What were looking for:

• 2 years of experience with big data (Hive Iceberg Presto Spark SparkSQL Scala Airflow) and scripting language (Python). Data visualization technologies (Tableau Looker Superset) a plus.
• Hands-on experience in principled data warehouse design data pipeline design and development and data visualization.
• Experience using large language models and developing AI agents to boost productivity
• Great communication skills. You should be able to directly communicate with senior business leaders embed yourself with business teams and present solutions to business stakeholders.
• Experience in working independently and driving projects end to end.
• Strong analytical skills.
• 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 (e.g. testing source-checking data validation peer review).
• High integrity and ownership: you protect sensitive data avoid over-reliance on AI and remain accountable for final decisions and deliverables.
• Bachelors or Masters degree in a relevant field such as Data Engineering 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 let the type of work you do guide the collaboration style. That means were not always working in an office but we continue to gather for key moments of collaboration and connection.
• This role will need to be in the office for in-person collaboration 1-2 times per half and therefore can be situated anywhere in Ontario.

#LI-HYBRID

#LI-CH1