Data Science Engineer Jobs at Pinterest with Visa Sponsorship
Data Science Engineer jobs at Pinterest sit at the intersection of recommendation systems, content understanding, and user growth, making them a strong fit for engineers who want to build at scale. The company has a consistent track record of sponsoring international talent across multiple visa categories for this function.
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Get Access To All JobsAbout 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.
About TvScientific
tvScientific is the first and only CTV advertising platform purpose-built for performance marketers. We leverage massive data and cutting-edge science to automate and optimize TV advertising to drive business outcomes. Our solution combines media buying, optimization, measurement, and attribution in one, efficient platform. Our platform is built by industry leaders with a long history in programmatic advertising, digital media, and ad verification who have now purpose-built a CTV performance platform advertisers can trust to grow their business.
- Implement robust data infrastructure in AWS, using Spark with Scala
- Evolve our core data pipelines to efficiently scale for our massive growth
- Store data in optimal engines and formats
- Collaborate with our cross-functional teams to design data solutions that meet business needs
- Built out fault-tolerant batch and streaming pipelines
- Leverage and optimize AWS resources while designing for scale
- Collaborate closely with our Data Science and Product teams
How we'll define success:
- Successful implementation of scalable and efficient data infrastructure
- Timely delivery and optimization of data assets and APIs
- High attention to detail in implementation of automated data quality checks
- Effective collaboration with cross-functional teams
What We're Looking For
- Production data engineering experience
- Proficiency in Spark and Scala, with proven experience building data infrastructure in Spark using Scala
- Familiarity with data lakes, cloud warehouses, and storage formats
- Strong proficiency in AWS services
- Expertise in SQL for data manipulation and extraction
- Excellent written and verbal communication skills
- Bachelor's degree in Computer Science or a related field
Nice-to-Haves
- Experience in adtech
- Experience implementing data governance practices, including data quality, metadata management, and access controls
- Strong understanding of privacy-by-design principles and handling of sensitive or regulated data
- Familiarity with data table formats like Apache Iceberg, Delta
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.
Relocation Statement:
This position is not eligible for relocation assistance. Visit our PinFlex page to learn more about our working model.
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.
US based applicants only
$123,696—$254,667 USD
Our Commitment To Inclusion
Pinterest is an equal opportunity employer and makes employment decisions on the basis of merit. We want to have the best qualified people in every job. All qualified applicants will receive consideration for employment without regard to race, color, ancestry, national origin, religion or religious creed, sex (including pregnancy, childbirth, or related medical conditions), sexual orientation, gender, gender identity, gender expression, age, marital status, status as a protected veteran, physical or mental disability, medical condition, genetic information or characteristics (or those of a family member) or any other consideration made unlawful by applicable federal, state or local laws. We also consider qualified applicants regardless of criminal histories, consistent with legal requirements. If you require a medical or religious accommodation during the job application process, please complete this form for support.
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.
About TvScientific
tvScientific is the first and only CTV advertising platform purpose-built for performance marketers. We leverage massive data and cutting-edge science to automate and optimize TV advertising to drive business outcomes. Our solution combines media buying, optimization, measurement, and attribution in one, efficient platform. Our platform is built by industry leaders with a long history in programmatic advertising, digital media, and ad verification who have now purpose-built a CTV performance platform advertisers can trust to grow their business.
- Implement robust data infrastructure in AWS, using Spark with Scala
- Evolve our core data pipelines to efficiently scale for our massive growth
- Store data in optimal engines and formats
- Collaborate with our cross-functional teams to design data solutions that meet business needs
- Built out fault-tolerant batch and streaming pipelines
- Leverage and optimize AWS resources while designing for scale
- Collaborate closely with our Data Science and Product teams
How we'll define success:
- Successful implementation of scalable and efficient data infrastructure
- Timely delivery and optimization of data assets and APIs
- High attention to detail in implementation of automated data quality checks
- Effective collaboration with cross-functional teams
What We're Looking For
- Production data engineering experience
- Proficiency in Spark and Scala, with proven experience building data infrastructure in Spark using Scala
- Familiarity with data lakes, cloud warehouses, and storage formats
- Strong proficiency in AWS services
- Expertise in SQL for data manipulation and extraction
- Excellent written and verbal communication skills
- Bachelor's degree in Computer Science or a related field
Nice-to-Haves
- Experience in adtech
- Experience implementing data governance practices, including data quality, metadata management, and access controls
- Strong understanding of privacy-by-design principles and handling of sensitive or regulated data
- Familiarity with data table formats like Apache Iceberg, Delta
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.
Relocation Statement:
This position is not eligible for relocation assistance. Visit our PinFlex page to learn more about our working model.
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.
US based applicants only
$123,696—$254,667 USD
Our Commitment To Inclusion
Pinterest is an equal opportunity employer and makes employment decisions on the basis of merit. We want to have the best qualified people in every job. All qualified applicants will receive consideration for employment without regard to race, color, ancestry, national origin, religion or religious creed, sex (including pregnancy, childbirth, or related medical conditions), sexual orientation, gender, gender identity, gender expression, age, marital status, status as a protected veteran, physical or mental disability, medical condition, genetic information or characteristics (or those of a family member) or any other consideration made unlawful by applicable federal, state or local laws. We also consider qualified applicants regardless of criminal histories, consistent with legal requirements. If you require a medical or religious accommodation during the job application process, please complete this form for support.
See all Data Science Engineer Jobs at Pinterest
Sign up for free to unlock all listings, filter by visa type, and get alerts for new Data Science Engineer Jobs at Pinterest.
Get Access To All JobsTips for Finding Data Science Engineer Jobs at Pinterest
Align your portfolio to Pinterest's recommendation systems
Pinterest's data science engineering work is heavily tied to ranking, personalization, and content discovery. Showcasing projects involving large-scale ML pipelines, embedding models, or feed ranking puts your application in direct conversation with their core technical priorities.
Verify your visa type matches Pinterest's sponsored categories
Pinterest sponsors H-1B, E-3, TN, and F-1 OPT for data science engineering roles. If you're on OPT, confirm your end date leaves enough runway for an H-1B cap-subject filing before your status expires, since USCIS requires the petition to be filed months in advance.
Target Pinterest's recruiting cycles around H-1B cap season
H-1B cap petitions must be filed by April 1 for an October 1 start. If you're targeting Pinterest through the lottery, aim to have an offer finalized by February or March so the company's legal team has time to prepare the I-129 petition and LCA.
Prepare for technical screens that emphasize applied ML
Pinterest's data science engineering interviews typically involve SQL, Python, and system design questions grounded in real product scenarios like feed ranking or ad targeting. Practicing with Pinterest-specific use cases, not generic Leetcode problems, sharpens your responses to their evaluation criteria.
Use Migrate Mate to filter Pinterest roles by visa type
Search for Data Science Engineer openings at Pinterest filtered by your specific visa category on Migrate Mate. This surfaces only roles where sponsorship is confirmed for your status, cutting out postings that don't match your authorization needs.
Negotiate your start date with the LCA filing timeline in mind
Your employer must file a certified Labor Condition Application with the DOL before submitting your H-1B or E-3 petition. When discussing start dates with Pinterest's recruiting team, build in at least two to three weeks for LCA certification before any petition filing.
Frequently Asked Questions
Does Pinterest sponsor H-1B visas for Data Science Engineers?
Yes, Pinterest sponsors H-1B visas for Data Science Engineer roles. The company has a consistent history of filing H-1B petitions for technical positions in this function. If you're a cap-subject candidate, the timeline matters: USCIS opens the registration window in March, and your offer needs to be in place before then to be included in that year's lottery.
Which visa types does Pinterest commonly sponsor for Data Science Engineers?
Pinterest sponsors H-1B, E-3 visa, TN visa, EB-2, EB-3, and F-1 OPT for Data Science Engineer positions. Australian nationals can pursue the E-3 visa, which has no lottery and allows two-year renewable periods. Canadian and Mexican nationals in qualifying data science roles may be eligible for TN visa status. F-1 students on OPT can begin working before an H-1B petition is filed.
What qualifications or experience does Pinterest expect for Data Science Engineer roles?
Pinterest's Data Science Engineer roles typically require a bachelor's or master's degree in computer science, statistics, or a related quantitative field. Hands-on experience with large-scale data pipelines, ML model development, and tools like Spark, Python, or TensorFlow is standard. Roles tied to ranking or recommendation systems often expect prior exposure to embedding models or real-time inference infrastructure.
How do I apply for Data Science Engineer jobs at Pinterest?
You can find Data Science Engineer openings at Pinterest on their careers page and on Migrate Mate, which filters roles by visa sponsorship type so you can confirm eligibility before applying. Applications typically involve an initial recruiter screen, followed by technical rounds covering SQL, Python, ML design, and a system design interview. Having a focused portfolio relevant to Pinterest's product areas strengthens your candidacy.
How do I manage the timing between a Pinterest offer and my visa filing?
Once Pinterest extends an offer, their immigration team initiates the Labor Condition Application with the DOL, which typically takes one to two weeks to certify. For H-1B cap cases, this needs to align with the USCIS registration window in March. For E-3 or TN, there's no lottery, so filings can happen year-round once the LCA is certified and supporting documents are ready.