Sr. Software Engineer II

5+ years of experience in a Data Engineering or related role.

Proficiency in Python — building libraries, data processing scripts, and automation tooling (experience with Pydantic, Jinja2, or similar templating frameworks is a plus).

Experience with dbt (data build tool) — building and maintaining models, macros, custom materializations, and incremental strategies.

Experience with orchestration tools — Airflow / Cloud Composer, DAG design, scheduling, and monitoring.

Experience with cloud platforms — GCP (GCS, BigQuery, Cloud Composer, Kubernetes) or equivalent.

Strong understanding of data warehousing concepts — dimensional modeling, star/snowflake schemas, slowly changing dimensions, fact/aggregate table design, and data consistency patterns.

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.

API Development: Transition the platform from static configuration files to a dynamic, API-first architecture, enabling programmatic creation of data artifacts.

Self-Service Enablement: Build tooling and guardrails that allow business units to deploy their own data solutions while maintaining global standards for governance and security.

Developer Experience (DevEx): Act as the "Product Manager" for your platform, gathering feedback from internal users to simplify the data development lifecycle.

Design and build data pipelines that process billions of records a day across consolidation, semantic, and externalization layers using the DV Internal Data Platform — a self-service, contract-driven architecture where pipelines are defined via YAML contracts and automatically deployed to Snowflake, Airflow, and Looker.

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.

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

.