DoubleVerify
Staff Software Engineer - Social Integrations
DoubleVerify, New York, New York, us, 10261
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 - Social Integrations, 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 Big-Data processing and analytics.
What will you do?Architect, design and build application pipelines handling tens of TBs/Day, serving thousands of clients and supports advanced analytic workloadsMentor 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 engineersExplore the technological landscape for new ways of producing, processing, and analyzing data in order to gain insights into both our users and our product featuresDesign, develop, and test data-driven products, features, and APIs that scaleContinuously improve the quality of deliverables and SDLC processesOperate production environments, investigate issues, assess their impact, and come up with feasible solutions.Understand business needs and work with product owners to establish prioritiesBridge the gap between Business / Product requirements and technical detailsWork 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, object-oriented design and/or functional programmingDeep understanding of distributed system technologies, standards, protocols, and have 3+ years of experience working in distributed systems like Hadoop, Big Query, Spark, Kafka Eco System ( Kafka Connect, Kafka Streams), and building data pipelines at scale.Hands-on experience building low latency, high-throughput APIs, and are comfortable using external APIs from platforms.Excellent SQL query writing abilities and data understandingCare about agile software processes, data-driven development, reliability, and responsible experimentationGenuine desire to automate decision making, processes, and workflowsExperience working with dependency management tools such as Luigi/AirflowExperience with DevOps domain - working with build servers, docker and containers clusters (Kubernetes)Experience in Mentoring and growing a diverse team of talented data engineersB.S./M.S. in Computer Science or a related fieldExcellent communication skills and a team playerExtra credits for having experience with:
Columnar data storesGoogle BigQuerySpark Streaming or other live stream processing technologyCloud environment, Google Cloud PlatformContainer technologies - Docker / KubernetesAd serving technologies and standardsAkka
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- $230,000.00]. 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!
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 - Social Integrations, 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 Big-Data processing and analytics.
What will you do?Architect, design and build application pipelines handling tens of TBs/Day, serving thousands of clients and supports advanced analytic workloadsMentor 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 engineersExplore the technological landscape for new ways of producing, processing, and analyzing data in order to gain insights into both our users and our product featuresDesign, develop, and test data-driven products, features, and APIs that scaleContinuously improve the quality of deliverables and SDLC processesOperate production environments, investigate issues, assess their impact, and come up with feasible solutions.Understand business needs and work with product owners to establish prioritiesBridge the gap between Business / Product requirements and technical detailsWork 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, object-oriented design and/or functional programmingDeep understanding of distributed system technologies, standards, protocols, and have 3+ years of experience working in distributed systems like Hadoop, Big Query, Spark, Kafka Eco System ( Kafka Connect, Kafka Streams), and building data pipelines at scale.Hands-on experience building low latency, high-throughput APIs, and are comfortable using external APIs from platforms.Excellent SQL query writing abilities and data understandingCare about agile software processes, data-driven development, reliability, and responsible experimentationGenuine desire to automate decision making, processes, and workflowsExperience working with dependency management tools such as Luigi/AirflowExperience with DevOps domain - working with build servers, docker and containers clusters (Kubernetes)Experience in Mentoring and growing a diverse team of talented data engineersB.S./M.S. in Computer Science or a related fieldExcellent communication skills and a team playerExtra credits for having experience with:
Columnar data storesGoogle BigQuerySpark Streaming or other live stream processing technologyCloud environment, Google Cloud PlatformContainer technologies - Docker / KubernetesAd serving technologies and standardsAkka
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- $230,000.00]. 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!