New York
64 days ago
Staff Software Engineer, Semantic Layer

Who we are

DoubleVerify is the leading independent provider of marketing measurement software, data and analytics that authenticates the quality and effectiveness of digital media for the world's largest brands and media platforms. DV provides media transparency and accountability to deliver the highest level of impression quality for maximum advertising performance. 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 ecosystem, helping to build a better industry. Learn more at www.doubleverify.com.

Role Description

As the Staff Software Engineer on the Semantic team, you will be part of a high performing platform data team, which builds an online analytics platform providing insights and data for world's largest brands and media platforms. You will develop and experiment with new and cutting-edge technologies designed for large scale, distributed systems, BigData and AdTech solutions.

The current goal is to make a second step towards platformization of the current live solution, which is used and maintained by engineers - data, bi, frontend/backend, QEs and product stakeholders. The new platform is being designed along Data Mesh principles to provide maximum flexibility and minimize go to market time for new data products.

Who You Are

You are a passionate and experienced software engineer looking to take on your next major technical projects.  You enjoy learning the intricacies and nuances of a distributed system, and then elegantly and cleanly designing new technical implementations to organically grow that system to its greatest potential.  You can speak intelligently on the complex interaction between code choices now, their system tradeoffs, evolution, interaction, first order, future and second order effects. A constant learner, you’re a continuous contributor to the improvement in team skill level.  You’ve got the ability to take on individual assignments and complete them front to back.  You pride yourself on good architecture, writing and delivering high quality code.  

And most importantly, you enjoy sharing, reviewing, and teaching those practices to others.

What You Will do

Be the technical system owner, responsible for producing a long-term technical vision, code quality, performance and  observability. Learn multiple complex systems that use numerous modern cutting-edge technologies, such as Looker, Snowflake and Airflow. Design technical implementations to grow these systems Design and implement systems responsible for high concurrency access to large data sets Identify gaps, deficiencies and inefficiencies in the system. Propose and implement solutions. Help oversee technical implementations written by the rest of the team.  Ensure that team implementations are in line with the designs created by the team and aligned with DV best practices/agreed concepts, with an eye towards compatibility between features, design, implementation choices and best practices Be quick to fix issues that come up, and help to mentor and train others on the team Become a key contributor to feature scoping, technical implementation, and developer estimates Work with the Product Management team to understand requirements Be proactive about developer testing, and coding at all levels of a system of applications Use engineering know-how and common sense to assess impact of work on the platform Test and optimize code developed both by you and by other team members Work as part of a dedicated team that shares both knowledge and responsibility Establish effective monitoring for automated system failure detection Continuously release your features using automated deployment tools and frameworks Support power users throughout the business in owning their services and learning how to surface reporting using the tools you build

Requirements

At least 7 years of professional software engineering experience You are an ambitious top performer who is able and loves to create robust and reliable software  Proven experience with Python, or other object oriented languages (JS, Java, C#, etc.) Strong SQL proficiency with ability to suggest optimization for query performance and cost efficiency Understanding of web, client, queue, workflow, and cloud technologies Strong familiarity with REST APIs and web-based API’s Familiarity with core architecture principles of at scale systems Experience with BI platforms such as Looker, Tableau, Power BI, etc.  Familiarity with public cloud, such as GCP, AWS, Azure Excellent communication skills and a team player Experience with using task/build/automation tools in coordination with DevOps Bachelor’s Degree or higher in Computer Science or related field or equivalent technical experience Previous experience with managing and growing a large codebase over time is a large plus! Knowledge of Kubernetes and Terraform are not required, but are a plus! Previous experience as a team lead or a principal engineer or as an architect 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 [$118,000.00 - $235,000.00]. 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!

 

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