Software Engineer II, Big Data, tvScientific

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 about our AI interview philosophy and how we use AI in our recruiting process here.

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.

As a Data Engineer at tvScientific, you will be a key player in implementing the robust data infrastructure to power our data-heavy company. You will collaborate with our cross-functional teams to evolve our core data pipelines, design for efficiency as we scale, and store data in optimal engines and formats. This is an individual contributor role, where you will work to define and implement a strategic vision for data engineering within the organization.

What you'll do:

Design and 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, matching your designs to our performance needs and cost factors

Collaborate with our cross-functional teams to design data solutions that meet business needs

Design and implement knowledge graphs, exposing their functionality both via Batch Processing and APIs

Leverage and optimize AWS resources while designing for scale

Collaborate closely with our Data Science and Product teams

How we'll define success:

Successful design and 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 is preferred

Experience in delivering significant technical initiatives and building reliable, large scale services

Experience in delivering APIs backed by relationship-heavy datasets

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

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

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

Previous experience building out a Data Engineering function

Proven experience working closely with Data Science teams on machine learning pipelines

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.

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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.

US based applicants only

$123,696 - $254,667 USD

Our Commitment to Inclusion:

By submitting this application, I certify that all information submitted in my application and throughout the hiring process is true, accurate, and complete to the best of my knowledge. I understand that any false statement, omission, or misrepresentation may disqualify me from employment consideration or result in termination if discovered after hire.