Back to jobs

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.
  • 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.
  • Performance & Scale: Optimize the "translation" layer to ensure that generated jobs are efficient, cost-effective, and leverage the full power of the Snowflake/dbt stack.
  • 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.
  • Develop and extend the Contract Interpreter — a Python library (Pydantic, Jinja2) that reads contract driven platform based YAML and generates dbt models, Airflow DAGs, and environment configurations for each deployment environment (dev, stg, prod).
  • Lead new initiatives and integrations with the world's largest social platforms (YouTube, TikTok, Meta, Snapchat, Reddit, Netflix, etc.) to measure ad performance end-to-end.
  • Build and maintain the semantic layer — design LookML models, explores, and views that translate consolidated data into customer-ready analytics through Looker.
  • Implement and maintain observability — build monitoring, alerting, watermarking, and data consistency checks to ensure pipeline reliability and data freshness at scale.
  • Leverage AI agents and tooling — contribute to and use the team's AI agent workspace (meta-repo with AGENTS.md context files, skills, and MCP integrations) to accelerate development, automate workflows, and encode institutional knowledge for AI-assisted engineering.
  • Design schema evolution and data migration strategies — manage schema versioning, backward compatibility, incremental vs. full-refresh deployments, and large-scale data backfills.
  • Work in multi-functional agile teams with end-to-end responsibility for product development and delivery — from contract definition to customer-facing data.
  • Collaborate directly with engineers from partner platforms on API development and data integration specifications.
  • Train and mentor a team of software engineers.

 

Who You Are

Required

  • Bachelor's degree or foreign equivalent in Computer Science, Data Engineering, or a related field.
  • 5+ years of experience in a Data Engineering or related role.
  • Strong SQL skills — advanced querying, performance tuning, window functions, and complex transformations at scale.
  • Proficiency in Python — building libraries, data processing scripts, and automation tooling (experience with Pydantic, Jinja2, or similar templating frameworks is a plus).
  • Deep experience with Snowflake — schema design, Snowpipe, streams, tasks, materialized views, clustering, and query optimization.
  • 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.
  • Experience with CI/CD pipelines — GitLab CI, Flyway migrations, or similar deployment automation.
  • Experience with AI-assisted development tools — Claude Code, Cursor, GitHub Copilot, or similar AI coding assistants. Experience building or contributing to AI agent context files (AGENTS.md), skills, or meta-repo patterns is a strong plus.

Preferred

  • Experience building or working with contract-driven / configuration-driven data platforms where pipelines are generated from declarative specifications (YAML, JSON schemas).
  • Experience with Looker / LookML — building semantic models, explores, aggregate awareness, and dashboard development.
  • Experience with Kafka — schema registries, topic management, and streaming data integration.
  • Experience with data quality and observability frameworks — automated testing, watermarking, data integrity validation, and SLA monitoring.
  • Experience with Terraform or infrastructure-as-code for managing cloud resources.
  • Familiarity with data mesh principles — federated data ownership, data products, and self-service platform design.


The successful candidate’s starting salary will be determined based on a number of non-discriminating factors, including qualifications for the role, level, skills, experience, location, and balancing internal equity relative to peers at DV.
The estimated salary range for this role based on the qualifications set forth in the job description is between $107,000- $212,000. This role will also be eligible for bonus/commission (as applicable), equity, and benefits.
The range above is for the expectations as laid out in the job description; however, we are often open to a wide variety of profiles, and recognize that the person we hire may be more or less experienced than this job description as posted.

Not-so-fun fact: Research shows that while men apply to jobs when they meet an average of 60% of job criteria, women and other marginalized groups tend to only apply when they check every box. So if you think you have what it takes but you’re not sure that you check every box, apply anyway!

 

Create a Job Alert

Interested in building your career at DoubleVerify? Get future opportunities sent straight to your email.

Apply for this job

*

indicates a required field

Resume/CV*

Accepted file types: pdf, doc, docx, txt, rtf

Cover Letter

Accepted file types: pdf, doc, docx, txt, rtf

Education

Select...
Select...
Select...
Select...

Let us know where you saw DV

Select...

Voluntary Self-Identification

For government reporting purposes, we ask candidates to respond to the below self-identification survey. Completion of the form is entirely voluntary. Whatever your decision, it will not be considered in the hiring process or thereafter. Any information that you do provide will be recorded and maintained in a confidential file.

As set forth in DoubleVerify’s Equal Employment Opportunity policy, we do not discriminate on the basis of any protected group status under any applicable law.

Select...
Select...
Race & Ethnicity Definitions

If you believe you belong to any of the categories of protected veterans listed below, please indicate by making the appropriate selection. As a government contractor subject to the Vietnam Era Veterans Readjustment Assistance Act (VEVRAA), we request this information in order to measure the effectiveness of the outreach and positive recruitment efforts we undertake pursuant to VEVRAA. Classification of protected categories is as follows:

A "disabled veteran" is one of the following: a veteran of the U.S. military, ground, naval or air service who is entitled to compensation (or who but for the receipt of military retired pay would be entitled to compensation) under laws administered by the Secretary of Veterans Affairs; or a person who was discharged or released from active duty because of a service-connected disability.

A "recently separated veteran" means any veteran during the three-year period beginning on the date of such veteran's discharge or release from active duty in the U.S. military, ground, naval, or air service.

An "active duty wartime or campaign badge veteran" means a veteran who served on active duty in the U.S. military, ground, naval or air service during a war, or in a campaign or expedition for which a campaign badge has been authorized under the laws administered by the Department of Defense.

An "Armed forces service medal veteran" means a veteran who, while serving on active duty in the U.S. military, ground, naval or air service, participated in a United States military operation for which an Armed Forces service medal was awarded pursuant to Executive Order 12985.

Select...

Voluntary Self-Identification of Disability

Form CC-305
Page 1 of 1
OMB Control Number 1250-0005
Expires 04/30/2026

Why are you being asked to complete this form?

We are a federal contractor or subcontractor. The law requires us to provide equal employment opportunity to qualified people with disabilities. We have a goal of having at least 7% of our workers as people with disabilities. The law says we must measure our progress towards this goal. To do this, we must ask applicants and employees if they have a disability or have ever had one. People can become disabled, so we need to ask this question at least every five years.

Completing this form is voluntary, and we hope that you will choose to do so. Your answer is confidential. No one who makes hiring decisions will see it. Your decision to complete the form and your answer will not harm you in any way. If you want to learn more about the law or this form, visit the U.S. Department of Labor’s Office of Federal Contract Compliance Programs (OFCCP) website at www.dol.gov/ofccp.

How do you know if you have a disability?

A disability is a condition that substantially limits one or more of your “major life activities.” If you have or have ever had such a condition, you are a person with a disability. Disabilities include, but are not limited to:

  • Alcohol or other substance use disorder (not currently using drugs illegally)
  • Autoimmune disorder, for example, lupus, fibromyalgia, rheumatoid arthritis, HIV/AIDS
  • Blind or low vision
  • Cancer (past or present)
  • Cardiovascular or heart disease
  • Celiac disease
  • Cerebral palsy
  • Deaf or serious difficulty hearing
  • Diabetes
  • Disfigurement, for example, disfigurement caused by burns, wounds, accidents, or congenital disorders
  • Epilepsy or other seizure disorder
  • Gastrointestinal disorders, for example, Crohn's Disease, irritable bowel syndrome
  • Intellectual or developmental disability
  • Mental health conditions, for example, depression, bipolar disorder, anxiety disorder, schizophrenia, PTSD
  • Missing limbs or partially missing limbs
  • Mobility impairment, benefiting from the use of a wheelchair, scooter, walker, leg brace(s) and/or other supports
  • Nervous system condition, for example, migraine headaches, Parkinson’s disease, multiple sclerosis (MS)
  • Neurodivergence, for example, attention-deficit/hyperactivity disorder (ADHD), autism spectrum disorder, dyslexia, dyspraxia, other learning disabilities
  • Partial or complete paralysis (any cause)
  • Pulmonary or respiratory conditions, for example, tuberculosis, asthma, emphysema
  • Short stature (dwarfism)
  • Traumatic brain injury
Select...

PUBLIC BURDEN STATEMENT: According to the Paperwork Reduction Act of 1995 no persons are required to respond to a collection of information unless such collection displays a valid OMB control number. This survey should take about 5 minutes to complete.