Staff Software Engineer - Social Integrations

Posted 15 Hours Ago
Be an Early Applicant
New York, NY
Senior level
AdTech • Marketing Tech
The Role
The Staff Software Engineer will architect, design, and build application pipelines for social integrations, ensuring scalability and reliability. Responsibilities include mentoring other engineers, developing data-driven products, and bridging business needs with technical solutions. The role requires hands-on experience with distributed systems and building APIs.
Summary Generated by Built In

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 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. 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!

 

Top Skills

Big Query
Hadoop
Kafka
Spark
SQL
The Company
Chicago, IL
721 Employees
On-site Workplace
Year Founded: 2008

What We Do

DV is powering the new standard of marketing performance, giving advertisers clarity and confidence in their digital investment. Built on best practices, DV solutions create value for media buyers and sellers by bringing transparency and accountability to the market, ensuring ad viewability, brand safety, fraud protection, accurate impression delivery and audience quality across campaigns to drive performance. Since 2008, DV has helped hundreds of Fortune 500 companies gain the most value out of their media spend by delivering best in class solutions across the digital ecosystem that help build a better industry.

Learn more at doubleverify.com.

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