Sr. Analytics Data Platform Engineer
DoubleVerify - NYC Global HQ
Posted Mar 26, 2025
Benefits
- Parental leave
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- Non-birth-parent leave
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- Family-building benefits
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- Fertility benefits: Not verified
- Adoption assistance: Not verified
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- Mental health support
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- Relocation assistance
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- Childcare support
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- 401(k) match
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- Weekend work
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About this role
Sr. Analytics Data Platform Engineer NYC Global HQ Senior Analytics Data Platform Engineer DoubleVerify · New York (Hybrid) About DoubleVerify DoubleVerify is a leading software platform for digital media measurement, data and analytics. DV's mission is to be the definitive source of transparency and data-driven insights into the quality and effectiveness of digital advertising for the world's largest brands, publishers and digital ad platforms. DV's technology platform provides advertisers with consistent and unbiased data and analytics that can be used to optimize the quality and return on their digital ad investments. Since 2008, DV has helped hundreds of Fortune 500 companies gain the most from their media spend by delivering best-in-class solutions across the digital advertising ecosystem, helping to build a better industry. Learn more at www.doubleverify.com . The Team You will join the Data & Analytics Platform (DAP) team within the Pinnacle engineering organization. The DAP team owns and operates two data consolidation platforms - Quantum (contract-driven, next-gen) and Analytics 2.0 (SQL-driven, legacy) - that ingest, transform, and serve billions of records daily from social platforms, measurement systems, and third-party partners. The data powers Looker dashboards, customer-facing reports, and downstream APIs used across DoubleVerify's product suite. What You'll Do - Platform Abstraction & Design: Design and maintain the YAML-based "Contract" system that allows users to define data entities, transformations, and SLOs without writing low-level orchestration code. - Infrastructure as Code (IaC): Develop the translation engine that converts user contracts into automated dbt models, Airflow DAGs, and Snowflake objects. -
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