Staff Software Engineer, DoubleVerify
Rockerbox
$128-230k
+ Eligible for bonus/commission (as applicable) + equity
Software platform for digital media measurement and analytics
Open for applications
Software platform for digital media measurement and analytics
1001+ employees
Open for applications
$128-230k
+ Eligible for bonus/commission (as applicable) + equity
1001+ employees
Company mission
To build trust and transparency across the digital advertising ecosystem and help advertisers succeed.
Role
Who you are
- 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
- If you think you have what it takes but you’re not sure that you check every box, apply anyway!
Desirable
- Experience with serverless and embedded analytics (DuckDB WASM, in production)
- Exposure to data versioning (Delta Lake, Iceberg, Hudi)
- Knowledge of ML/LLM data prep workflows and vector database integrations
- Previous experience building hybrid stacks (local development + cloud warehouse production)
What the job involves
- We are looking for a Staff Software Engineer to shape the future of our data platform with a focus on small data at scale
- While many companies over-index on heavyweight distributed systems, we believe in the power of efficient, local-first, columnar engines like DuckDB to process and analyze data quickly, reliably, and cost-effectively
- As a Staff Software Engineer, you will set the technical direction for how our teams ingest, transform, and serve data, bridging the gap between lightweight embedded tools and cloud-scale systems
- You’ll be hands-on in building pipelines, while also mentoring engineers and setting best practices across the organization
- You'll 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
- What Success Looks Like:
- Data pipelines that are fast, simple, and reproducible—running in seconds or minutes, not hours
- A team that defaults to the right level of tooling for the problem (small-data-first, scale-up only when necessary)
- Clear semantic data definitions that power analytics, experimentation, and AI/ML initiatives
- Reduced infrastructure cost and complexity without sacrificing reliability
Our take
The importance of digital advertising continues to grow, but it can be difficult for companies to protect their brand identity online. DoubleVerify solves this problem using software that monitors campaign performance in real-time.
Since it was first launched, DoubleVerify has successfully carved out an impressive market share, and now boasts customers such as digital advertising giant Facebook as long-time customers. Its success is largely owed to the quality of its technology, which far outperforms that of its rivals. DoubleVerify has consolidated its success by expanding the range of languages its tools support. It has also expanded into new markets such as Australia and New Zealand, a key indicator of the company’s continued growth.
The digital ad space is changing constantly, and DoubleVerify will need to remain as agile and adaptive as it is at present in order to compete with rivals such as Tremor and Quantcast. But with a 2021 IPO, several recent rounds of funding and new product releases, it looks set to tackle its competitors head on and stay ahead of the game.
Freddie
Company Specialist at Welcome to the Jungle
Insights
16% employee growth in 12 months
Company
Funding (last 2 of 4 rounds)
Oct 2020
$350m
GROWTH EQUITY VC
Aug 2011
$33m
LATE VC
Total funding: $396.5m
Company benefits
- Comprehensive Coverage: Because we want you to stay healthy.
- Pension Matching: 401(k) or country-specific contributions.
- Tuition Reimbursement: never stop learning.
- Generous Parental & Compassionate Leaves: putting families first.
- Onsite & Virtual Events & Wellness Activities: Team activities, wellness offerings, games and more!
- Flexible Lifestyle Spending Account: Gym, fitness class, self-care, or even pet care? You're covered for this and more.
- Mental Wellness Days: Take a day off for yourself.
- Global Access to Mental Health Resource: Investing in you being your best self.
- Hybrid Work Schedule: Making the most of your time.
- Peer Nominated Awards: Recognizing DV values in action.
- Seasonal Employee Appreciation Gifts: Enjoy summer treats and holiday sweets.
- Self-Directed Paid Time Off: You work hard. Enjoy it.
Company HQ
SoHo, New York, NY
Leadership
Mark Zagorski
(CEO)Mark joined the DOubleVerify team as CEO in 2020,. Prior to this, he was the CEO for Telaria and an Executive VP/Head of Nielsen Marketing Cloud for Nielsen. He also spent 7 years at eXelate as CRO and CEO.
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