DoubleVerify (DV Scibids) - Sr. Data Engineer I
Requirements
• You have 3+ years of experience in data engineering, backend engineering, or a similar role. • You have strong programming skills in Python and SQL; experience with Java, Rust, or similar languages is a plus. • You have experience integrating with external APIs and building production services on top of them. • You are comfortable reasoning about ambiguous external platform behavior and turning that into robust internal abstractions. • You have experience designing and operating data pipelines or services that work with large-scale datasets. • You are familiar with cloud environments and modern engineering practices such as Git, CI/CD, Docker, and container orchestration. • You are comfortable collaborating with product managers and non-technical stakeholders, and can help translate platform constraints into actionable product decisions. • You have strong communication skills and work well across teams. • You care about automation, reliability, observability, and data-driven decision making. • We use AI-augmented development style, familiarity with Claude Code or Cursor is welcome but not mandatory • Familiarity with AdTech or auction-based systems is not required, but is a plus. • 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 $89,000.00 - $178,000.00. 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! • Not-so-fun fact:
Responsibilities
• Explore, evaluate, and integrate external partner APIs to support DV Scibids product expansion. • Work closely with Product to clarify what partner platforms technically allow, identify constraints early, and help shape product decisions accordingly. • Design, build, and maintain backend services and endpoints consumed by other DV teams. • Build and maintain robust data pipelines and services that ingest, transform, and reconcile data from partner platforms and internal DV systems. • Work with massive datasets generated by digital advertising auctions and build systems that remain reliable and performant at scale. • Collaborate with Data Science, Analytics, Product, and other Engineering teams to bridge business needs, platform capabilities, and Scibids optimization logic. • Operate production systems, investigate issues, assess impact, and implement durable fixes. • Continuously release features using automated deployment tools and infrastructure-as-code frameworks. • Improve observability, reliability, and maintainability of the systems you own. • Provide code reviews, contribute to system design discussions, and mentor junior engineers. • Partner with AI platform teams to enable deployment of agentic solutions
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