Staff Software Engineer (Data) - Rockerbox at DoubleVerify

United States

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Not SpecifiedCompensation

Senior (5 to 8 years), Expert & Leadership (9+ years)Experience Level

Full TimeJob Type

UnknownVisa

TechnologyIndustries

Requirements

Deep expertise in SQL (window functions, CTEs, optimization)
Strong Python skills with data libraries
Proficiency with DuckDB (extensions, parquet/iceberg integration, embedding in pipelines)
Hands-on with columnar formats (Parquet, Arrow, ORC) and schema evolution
Expertise in Kubernetes and Helm
Cloud storage experience (AWS S3, GCS)
Experience with semantic layer frameworks (CubeJS)
CI/CD tooling (GitHub Actions, Terraform, Docker/Kubernetes)
Track record of leading architecture decisions and mentoring teams
Ability to set standards for maintainability and developer experience

Responsibilities

Design and implement data processing workflows using DuckDB, Polars, and Arrow/Parquet
Balance small-data local pipelines with cloud data warehouse backends (Snowflake etc)
Advocate for efficient, vectorized, local-first approaches where appropriate
Drive best practices for designing reproducible and testable data workflows
Partner with data science, professional services, and product engineering teams to define semantic data layers
Provide technical leadership in how data is versioned, validated, and surfaced for downstream use
Establish standards for CI/CD, observability, and reliability in data pipelines
Automate workflows and optimize data layout for performance and cost efficiency
Serve as a thought leader in the organization, guiding engineers on when to use lightweight tools vs. distributed platforms
Mentor senior and mid-level data engineers to accelerate their growth

Skills

Key technologies and capabilities for this role

SQLPythonDuckDBPolarsArrowParquetSnowflake

Questions & Answers

Common questions about this position

What are the core technical skills required for this Staff Data Engineer role?

The role requires deep expertise in SQL (window functions, CTEs, optimization), strong Python skills with data libraries, proficiency with DuckDB (extensions, parquet/iceberg integration, embedding in pipelines), hands-on experience with columnar formats (Parquet, Arrow, ORC) and schema evolution, and expertise in Kubernetes and Helm.

What is the salary or compensation for this position?

This information is not specified in the job description.

Is this Staff Data Engineer role remote or does it require office work?

This information is not specified in the job description.

What leadership responsibilities does this role involve?

The role includes mentoring senior and mid-level data engineers, serving as a thought leader, guiding engineers on tool selection, leading architecture decisions, and setting standards for maintainability and developer experience.

What makes a strong candidate for this Staff Data Engineer position?

A strong candidate has deep expertise in the core technical skills like SQL, Python, DuckDB, columnar formats, and Kubernetes, plus a track record of leading architecture decisions, mentoring teams, and experience with tools like AWS S3, CubeJS, and CI/CD pipelines.

DoubleVerify

Digital advertising verification and analytics services

About DoubleVerify

DoubleVerify ensures the quality and effectiveness of digital advertising for major brands. The company provides verification and analytics services that help brands, advertisers, platforms, and publishers confirm that their ads are seen by real people, are placed in safe environments, and effectively reach their target audiences. Their services include checking ad viewability, preventing fraud, and ensuring brand safety by using advanced technology and dedicated teams to identify and combat fraud schemes. Unlike many competitors, DoubleVerify focuses on providing comprehensive analytics that help clients maximize their advertising budgets and improve returns on investment. The goal of DoubleVerify is to enhance the trust and effectiveness of digital advertising, making it a reliable channel for brands to connect with consumers.

New York City, New YorkHeadquarters

2008Year Founded

$385.7MTotal Funding

IPOCompany Stage

Data & Analytics, Consumer SoftwareIndustries

1,001-5,000Employees

Benefits

401(k) Company Match

Performance Bonus

Company Equity

Risks

Ad-blocking software usage may reduce the effectiveness of DoubleVerify's verification services.

Privacy-focused regulations could limit DoubleVerify's ability to track and verify ad performance.

Growing competition from companies like Integral Ad Science pressures DoubleVerify to innovate.

Differentiation

DoubleVerify offers industry-leading GenAI protection against low-quality AI-generated content.

The company provides comprehensive media quality authentication across diverse digital channels.

DoubleVerify's News Accelerator program leverages engaged news audiences while ensuring brand suitability.

Upsides

Increased demand for CTV advertising optimization tools boosts DoubleVerify's AI-powered solutions.

Growing importance of GenAI protection aligns with DoubleVerify's recent product launch.

Expansion to platforms like Spotify indicates a trend towards comprehensive media quality authentication.

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