Role: Staff Software Engineer (Data) - Social Integrations
Location: New York, NY
Hybrid: 3x a week on site
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<a href="http://www.doubleverify.com/"> www.doubleverify.com</a>.
The Role:
As a Staff Software Engineer (Data), you own new initiatives, design 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 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 you’ll do:
<ul>
<li>Write solid code with a focus on high performance for services supporting high throughput and low latency</li>
<li>Architect, design, and build big data processing platforms handling tens of TBs/Day, serve thousands of clients, and support advanced analytic workloads</li>
<li>Providing meaningful and relevant feedback to junior developers and staying up-to-date with system changes</li>
<li>Explore the technological landscape for new ways of producing, processing, and analyzing data to gain insights into both our users and our product features</li>
<li>Design, develop, and test data-driven products, features, and APIs that scale</li>
<li>Continuously improve the quality of deliverables and SDLC processes</li>
<li>Operate production environments, investigate issues, assess their impact, and develop feasible solutions.</li>
<li>Understand business needs and work with product owners to establish priorities&nbsp;</li>
<li>Bridge the gap between Business / Product requirements and technical details</li>
<li>Work in multi-functional agile teams with end-to-end responsibility for product development and delivery</li>
</ul>
Who you are
<ul>
<li>5+ years of programming experience in coding, object-oriented design, and/or functional programming, including Python, Scala, or related language</li>
<li>Lead by example - design, develop, and deliver quality solutions.</li>
<li>Love what you do and are passionate about crafting clean code and have a steady foundation with</li>
<li>Deep understanding of distributed system technologies, standards, and protocols, and have 2+ years of experience working in distributed systems like Airflow, DBT, Big Query, Spark, Pub Sub Eco System ( Kafka Connect, Kafka Streams, or Kinesis), and building data pipelines at scale.</li>
<li>Hands-on experience building low latency, high-throughput APIs, and comfortable using external APIs from platforms.</li>
<li>Excellent SQL query writing abilities and data understanding</li>
<li>Care about agile software processes, data-driven development, reliability, and responsible experimentation&nbsp;</li>
<li>Genuine desire to automate decision-making, processes, and workflows</li>
<li>Experience working with dependency management tools such as Airflow</li>
<li>Experience with DevOps domain - working with build servers, Docker, and container clusters (Kubernetes)</li>
<li>Experience in Mentoring and growing a diverse team of talented data engineers</li>
<li>B.S./M.S. in Computer Science or a related field</li>
<li>Excellent communication skills and a team player</li>
<li>Vertica or other columnar data stores</li>
<li>Google BigQuery or Snowflake</li>
<li>Spark Streaming or other live stream processing technology</li>
<li>Cloud environment, Google Cloud Platform&nbsp;</li>
<li>Container technologies - Docker / Kubernetes</li>
<li>Ad-serving technologies and standards&nbsp;</li>
</ul>
 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- $235,000]. This role will also be eligible for bonus/commission (as applicable), equity, and benefits. The range above is for the expectations as laid out in the job description; however, we are often open to a wide variety of profiles, and recognize that the person we hire may be more or less experienced than this job description as posted.
Not-so-fun fact:&nbsp;<a href="https://urldefense.com/v3/__https://hbr.org/2014/08/why-women-dont-apply-for-jobs-unless-theyre-100-qualified__;!!P6nVbRxDCw3cNFlf!EJszlPs7CwYzNT-NJOg9EZZm8SLk_u9r0_XmHjJQZBRBzKMxMlLzRyQb5e9Gb6uO0F2xTBQvUt-QaHkxF-J6DnOrpLeuZQc$" target="_blank" data-saferedirecturl="https://www.google.com/url?q=https://urldefense.com/v3/__https://hbr.org/2014/08/why-women-dont-apply-for-jobs-unless-theyre-100-qualified__;!!P6nVbRxDCw3cNFlf!EJszlPs7CwYzNT-NJOg9EZZm8SLk_u9r0_XmHjJQZBRBzKMxMlLzRyQb5e9Gb6uO0F2xTBQvUt-QaHkxF-J6DnOrpLeuZQc$&amp;source=gmail&amp;ust=1684938412437000&amp;usg=AOvVaw0CniBQNf70G5TxCR0QyED2">Research</a>&nbsp;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!
&nbsp;

**Role:** Staff Software Engineer (Data) - Social Integrations

**Location:** New York, NY

**Hybrid:** 3x a week on site

**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](http://www.doubleverify.com/).

**The Role:**

As a Staff Software Engineer (Data), you own new initiatives, design 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 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 you’ll do:**

  * Write solid code with a focus on high performance for services supporting high throughput and low latency
  * Architect, design, and build big data processing platforms handling tens of TBs/Day, serve thousands of clients, and support advanced analytic workloads
  * Providing meaningful and relevant feedback to junior developers and staying up-to-date with system changes
  * Explore the technological landscape 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 delivery

**Who you are**

  * 5+ years of programming experience in coding, object-oriented design, and/or functional programming, including Python, Scala, or related language
  * 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
  * Deep understanding of distributed system technologies, standards, and protocols, and have 2+ years of experience working in distributed systems like Airflow, DBT, Big Query, Spark, Pub Sub Eco System ( Kafka Connect, Kafka Streams, or Kinesis), and building data pipelines at scale.
  * Hands-on experience building low latency, high-throughput APIs, and 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 Airflow
  * Experience with DevOps domain - working with build servers, Docker, and container 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
  * Vertica or other columnar data stores
  * Google BigQuery or Snowflake
  * Spark Streaming or other live stream processing technology
  * 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](https://urldefense.com/v3/__https://hbr.org/2014/08/why-women-dont-
apply-for-jobs-unless-
theyre-100-qualified__;!!P6nVbRxDCw3cNFlf!EJszlPs7CwYzNT-
NJOg9EZZm8SLk_u9r0_XmHjJQZBRBzKMxMlLzRyQb5e9Gb6uO0F2xTBQvUt-
QaHkxF-J6DnOrpLeuZQc$) 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!



