Data Engineer Jobs at Pinterest with Visa Sponsorship
Pinterest hires Data Engineers to build and scale the infrastructure powering one of the world's largest visual discovery platforms. The company has a consistent track record of sponsoring work visas for technical roles, making it a strong target if you're pursuing employer-sponsored status in the U.S.
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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.
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Get Access To All JobsTips for Finding Data Engineer Jobs at Pinterest Jobs
Align your portfolio with Pinterest's data stack
Pinterest runs large-scale data pipelines on tools like Spark, Kafka, and Flink. Before applying, tailor your resume and GitHub to reflect experience with distributed systems and real-time data processing at scale, not just standard ETL work.
Target teams working on ads infrastructure
Pinterest's ads measurement and recommendation teams have consistent headcount needs for Data Engineers. Roles tied to revenue-generating products are more likely to move quickly through headcount approval and into active hiring, which matters when you're managing visa timing.
Confirm your visa type during the recruiter screen
Pinterest sponsors multiple visa categories for Data Engineers. Ask the recruiter early which statuses their legal team handles for this role. If you're on F-1 OPT with a STEM extension, clarify the H-1B cap-subject timeline before you receive an offer.
Use Migrate Mate to track Pinterest's active Data Engineer openings
Pinterest's job board doesn't filter by visa sponsorship. Use Migrate Mate to surface active Data Engineer roles at Pinterest that are open to sponsorship candidates, so you're applying to positions where your status isn't a barrier from the start.
Prepare for the PERM process if targeting Green Card pathways
If you're aiming for an EB-2 or EB-3 Green Card through Pinterest, the DOL's PERM labor certification requires the employer to document recruitment and prevailing wage compliance. Understanding this process before your offer helps you ask the right questions during negotiations.
Data Engineer at Pinterest jobs are hiring across the US. Find yours.
Find Data Engineer at Pinterest JobsFrequently Asked Questions
Does Pinterest sponsor H-1B visas for Data Engineers?
Yes, Pinterest sponsors H-1B visas for Data Engineer roles. The company has a consistent history of supporting visa sponsorship for technical positions, and Data Engineering sits squarely within the specialty occupation criteria USCIS requires. If you're on F-1 OPT or transitioning from another status, confirm the timeline with your recruiter early in the process.
Which visa types does Pinterest commonly sponsor for Data Engineers?
Pinterest sponsors H-1B, E-3, TN, and F-1 OPT extensions for Data Engineers, and supports EB-2 and EB-3 Green Card pathways for longer-term employment. Australian citizens can pursue the E-3, which avoids the H-1B lottery entirely. Canadian and Mexican nationals may qualify under TN status for qualifying engineering roles.
What qualifications does Pinterest expect for Data Engineer roles?
Pinterest Data Engineer roles typically require a bachelor's or master's degree in computer science, engineering, or a related field, along with hands-on experience building large-scale data pipelines. Proficiency in Python or Scala, familiarity with distributed systems like Spark or Kafka, and experience with cloud infrastructure are commonly expected at mid-to-senior levels.
How do I apply for Data Engineer jobs at Pinterest?
You can apply directly through Pinterest's careers page, but the listings don't filter by sponsorship eligibility. Migrate Mate lets you browse Data Engineer openings at Pinterest that are open to visa sponsorship, saving you from applying to roles where your immigration status would be a problem. From there, the process moves through a recruiter screen, technical assessments, and a system design interview loop.
How do I plan my timeline if I need H-1B sponsorship through Pinterest?
USCIS's H-1B cap-subject process runs on a fixed annual cycle: registration opens in March, the lottery runs shortly after, and approved petitions have an October 1 start date. If you're on F-1 OPT, a STEM extension gives you up to 24 additional months of work authorization, which can bridge the gap if you miss one lottery cycle while employed at Pinterest.
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