Who We Are:
DoubleVerify is a leading software platform for digital media measurement, data and analytics. DV’s mission is to be the definitive source of transparency and data-driven insights into the quality and effectiveness of digital advertising for the world’s largest brands, publishers and digital ad platforms. DV’s technology platform provides advertisers with consistent and unbiased data and analytics that can be used to optimize the quality and return on their digital ad investments. 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 advertising ecosystem, helping to build a better industry. Learn more at www.doubleverify.com.
Position Overview:
As a Staff Software Engineer, you own new initiatives and designs and build world-class platforms to measure and optimize ad performance. You ensure industry-leading scalability and reliability of mission-critical systems processing billions of daily real-time transactions. You apply state-of-the-art technologies, frameworks, and strategies to address complex big data processing and analytics challenges.
What you’ll do / Responsibilities:
Architect, design, and build application pipelines handling tens of TBs/Day, serving thousands of clients and supporting advanced analytic workloads Mentor a great team of motivated engineers by reviewing, understanding, and providing actionable feedback on code, architecture designs, and infrastructure deployments created and maintained by other engineers. Explore the technological landscape to build platforms for new ways of producing, processing, and analyzing data to gain insights into both our users and our product features Design, develop, and test data-driven products, features, and APIs that scale. Continuously improve the quality of deliverables and SDLC processes Operate production environments, investigate issues, assess their impact, and develop feasible solutions. Understand business needs and work with product owners to establish priorities. Bridge the gap between Business / Product requirements and technical details. Work in multi-functional agile teams with end-to-end responsibility for product development and deliveryWho you are?:
Lead by example - design, develop, and deliver quality solutions. Love what you do and are passionate about crafting clean code and have a steady foundation with 8+ years of programming experience in coding (Python or other languages), object-oriented design and/or functional programming Deep understanding of distributed system technologies, standards, protocols, and have 3+ years of experience working in distributed systems like Hadoop, BigQuery, Spark, Kafka Eco System ( Kafka Connect, Kafka Streams), and building data pipelines at scale. Proven Track record in building data platforms Hands-on experience building low latency, high-throughput APIs, and are comfortable using external APIs from platforms. Excellent SQL query writing abilities, data understanding, and a good understanding of workflow tools like DBT and Dataform. Care about agile software processes, data-driven development, reliability, and responsible experimentation Genuine desire to automate decision-making, processes, and workflows Experience working with workflow management tools such as Airflow Experience with DevOps domain - working with build servers, docker, and containers clusters (kubernetes) Experience in Mentoring and growing a diverse team of talented data engineers B.S./M.S. in Computer Science or a related field Excellent communication skills and a team playerExtra credits for having experience with:
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!