Role: Staff Data Engineer - Social Integrations
Type: Full Time
Reports To: Director, Social Integrations
Location: New York, NY
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 .
The Role
As a Staff Data Engineer, you own new initiatives, designs, and build world-class platforms in order to measure and optimize ad performance. You ensure industry-leading scalability and reliability of mission-critical systems processing billions of real-time transactions a day. You apply state of the art technologies, frameworks, and strategies to address complex challenges with distributed systems processing and data pipelines.
What you’ll do
Architect, design and build big data processing platforms handling tens of Billions of transactions/day, that serves thousands of clients and supports advanced data pipelines.
Mentor a great team of motivated engineers by regularly reviewing code, looking for design breaches, providing meaningful and relevant feedback to developers, and stay up-to-date with system changes
Explore the technological landscape for new ways of producing, processing, and analyzing data in order 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 come up with 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 delivery
Who 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
7+ years of programming experience in coding, object-oriented design, and/or functional programming
3+ years of experience working in distributed systems like Hadoop, Big Query, Spark, Kafka EcoSystem ( Kafka Connect, Kafka Streams, or Kinesis) and building data pipelines at scale.
Excellent SQL query writing abilities, data understanding and using distributed Data Stores like BigQuery
Experience working with dependency management tools such as Luigi/Airflow and SQL tools like DBT/Dataform
Deep understanding of distributed system technologies, standards, protocols
Hands-on experience building low latency, high-throughput APIs, and are comfortable using external APIs from platforms.
Good experience in optimizing distributed SQL Stores
Care about agile software processes, data-driven development, reliability, and responsible experimentation
Genuine desire to automate decision making, processes, and workflows
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
Bachelor’s Degree or higher in Computer Science or related field or equivalent technical experience
Excellent communication skills and a team player
Cloud environment, Google Cloud Platform
Container technologies - Docker / Kubernetes
Ad serving technologies and standards
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- $235,000]. 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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