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.

REQUIREMENTS

• At least 7 years of professional software engineering experience
• 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
• Strong familiarity with REST APIs and web-based APIs
• 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
• 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!

ROLE DESCRIPTION

Help us build our analytics system used by both internal teams and external clients, from the ground up. You will be a leading part of a high-performing platform data engineering team, which builds an online analytics platform providing insights and data for the world’s largest brands and media platforms. This role involves working on high-scale distributed architecture, handling large-scale data processing at a petabyte scale, working with numerous advertising data sources from major platforms such as Google, Meta, and TikTok, developing systems that export massive amounts of reports with thousands of data points daily, and building robust APIs using Python and Java. You will integrate complex tools like data catalogs (e.g., Atlan, Open Metadata) and semantic layers (e.g., Looker, Cube.dev) and work with multiple data lakes such as Snowflake, BigQuery, and DataBricks. Additionally, you will leverage native tables and newly supported open formats like Iceberg and Delta to ensure maximum flexibility and minimize go-to-market time for new data products.

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
• Test and optimize code developed both by you and by other team members
• Establish effective monitoring for automated system failure detection
• Continuously release your features using automated deployment tools and frameworks