Senior Data Platform Engineer – Analytics & AI

DoubleVerify Inc.; New York (NY); On-site; USD 107,000 - 212,000; Full time

Job summary

DoubleVerify Inc. is seeking a Senior Data Engineer to join the Data & Analytics Platform (DAP) team. You will help own and evolve two data platforms, ingesting billions of records daily and powering Looker dashboards and APIs across DoubleVerify’s product suite.

The role emphasizes SQL proficiency, Python development, dbt and Snowflake expertise, plus building scalable data pipelines, AI-assisted tooling, and governance-friendly solutions for global teams.

Qualifications

• Bachelor's degree in Computer Science, Data Engineering, or related field.
• 5+ years of experience in Data Engineering or related role.
• Strong SQL skills with advanced querying and transformations at scale.
• Proficiency in Python for libraries, data processing, and automation (Pydantic/Jinja2 a plus).
• Deep experience with Snowflake, dbt, and orchestration tools like Airflow.
• Experience with cloud platforms (GCP) and CI/CD pipelines.
• Familiarity with Looker/LookML for semantic modeling and dashboards.

Responsibilities

• Design and maintain the YAML-based Contract system to define data entities, transformations, and SLOs.
• Develop translation engine to convert contracts into dbt models, Airflow DAGs, and Snowflake objects.
• Move platform to API-first architecture enabling programmatic data artifact creation.
• Build tooling and guardrails for self-service data solutions while enforcing governance.
• Optimize the translation layer for performance, cost, and scalability on Snowflake/dbt.
• Act as the Product Manager for the platform, gathering user feedback to simplify workflows.
• Develop data pipelines processing billions of records daily across consolidation and analytics layers.
• Extend the Contract Interpreter (Python) to generate deployment configurations for dev/stg/prod.
• Lead integrations with major social platforms to measure ad performance end-to-end.
• Build Looker semantic models, explores, and views to deliver customer-ready analytics.
• Implement observability with monitoring and data quality checks to ensure freshness.
• Leverage AI agents and tooling to accelerate development and encode institutional knowledge.
• Design schema evolution and data migration strategies including versioning and backfills.
• Collaborate with partner engineers on API development and data integration.
• Mentor a team of software engineers.

Skills

SQL

Python

Snowflake

dbt

Airflow

Looker/LookML

Kubernetes

CI/CD

AI tools

Data modeling

Education

Bachelor's degree in Computer Science/Data Engineering

Tools

dbt

Airflow

Snowflake

Looker

Kubernetes

GCP

Job description

DoubleVerify Inc. is seeking a Senior Data Engineer to join the Data & Analytics Platform (DAP) team. You will help own and evolve two data platforms, ingesting billions of records daily and powering Looker dashboards and APIs across DoubleVerify’s product suite.

The role emphasizes SQL proficiency, Python development, dbt and Snowflake expertise, plus building scalable data pipelines, AI-assisted tooling, and governance-friendly solutions for global teams.