Staff Software Engineer, Big Data, tvScientific

Pinterest; California (MO); On-site; USD 177,000 - 365,000; Full time

Job summary

tvScientific is seeking a Staff Data Engineer to lead the design, implementation, and evolution of our identity services and data governance platform. This role ensures trusted, privacy-safe, and well-governed data across the organization.

You will work at the intersection of data engineering, identity resolution, privacy, and platform reliability as an individual contributor, defining a strategic vision for data engineering and collaborating with product, analytics, legal, and security teams.

Qualifications

• Proven production data engineering experience.
• Bachelor’s degree in computer science or related field or equivalent experience.
• Proficiency in Spark and Scala with data infrastructure experience.
• Experience delivering APIs backed by complex datasets.
• Experience implementing data governance practices and access controls.
• Strong understanding of privacy-by-design principles.

Responsibilities

• Design and maintain a scalable identity resolution platform.
• Build pipelines to ingest, normalize, link, and version identity data.
• Ensure auditable matching logic and data governance practices.
• Collaborate with product, analytics, legal and security teams on data APIs.
• Operate batch and streaming pipelines using modern data tools.
• Create documentation, runbooks and standards for data systems.
• Own data lineage, quality checks, and access controls.

Skills

Data engineering

Spark

Scala

APIs delivery

Data governance

Privacy-by-design

AWS

Communication

Collaboration

Education

Bachelor’s degree in computer science or related field

Tools

AWS

Data lakes

Job description

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 read more 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.

We are seeking a Staff Data Engineer to lead the design, implementation, and evolution of our identity services and data governance platform. This role is critical to ensuring trusted, privacy-safe, and well-governed data across the organization. You will work at the intersection of data engineering, identity resolution, privacy, and platform reliability. 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 maintain a scalable identity resolution platform

• Build pipelines and services to ingest, normalize, link, and version identity data across multiple sources

• Ensure deterministic and probabilistic matching logic that is transparent, auditable, and measurable

• Partner with product and analytics teams to expose identity data through reliable, well-documented APIs and datasets

• Build and operate batch and streaming pipelines using modern data stack tools

• Create clear documentation, standards, and runbooks for identity and governance systems

• Own data governance foundations including data lineage, quality checks, schema enforcement, and access controls

• Implement privacy-by-design principles (PII handling, consent enforcement, retention policies)

• Collaborate with legal, privacy, and security teams to operationalize regulatory requirements (e.g., GDPR, CCPA)

• Establish monitoring and alerting for data quality, freshness, and integrity

What we’re looking for:

• Production data engineering experience

• Bachelor’s degree in computer science, related field or equivalent experience

• Proficiency in Spark and Scala, with proven experience building data infrastructure in Spark using Scala

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

• Experience in delivering APIs backed by relationship-heavy datasets

• 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 lakes, cloud warehouses, and storage formats

• Strong proficiency in AWS services

• Excellent written and verbal communication skills

• Successful design and implementation of scalable and efficient data infrastructure

• High attention to detail in implementation of automated data quality checks

• Effective collaboration with cross-functional teams

• 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

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.

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.

US based applicants only

$177,185—$364,795 USD

Information regarding the culture at Pinterest and benefits available for this position can be found here.