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, design 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 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 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 with 8+ years of programming experience in coding, 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, 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 understanding
Care about agile software processes, data-driven development, reliability, and responsible experimentation
Genuine desire to automate decision making, processes, and workflows
Experience working with dependency management tools such as Luigi/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 player
Extra credits for having experience with:
Columnar data stores
Google BigQuery
Spark Streaming or other live stream processing technology
Cloud environment, Google Cloud Platform
Container technologies - Docker / Kubernetes
Ad serving technologies and standards
Akka
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.
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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, design 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 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 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 with 8+ years of programming experience in coding, 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, 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 understanding
Care about agile software processes, data-driven development, reliability, and responsible experimentation
Genuine desire to automate decision making, processes, and workflows
Experience working with dependency management tools such as Luigi/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 player
Extra credits for having experience with:
Columnar data stores
Google BigQuery
Spark Streaming or other live stream processing technology
Cloud environment, Google Cloud Platform
Container technologies - Docker / Kubernetes
Ad serving technologies and standards
Akka
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.
#J-18808-Ljbffr