<p><strong>Who we are</strong></p>
<p>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>.</p>
<p><strong>Role Description:</strong></p>
<p>Help us build our analytics system used by both internal teams and external clients, from the ground up. You will be a leading part of a high-performing platform data engineering team, which builds an online analytics platform providing insights and data for the world's largest brands and media platforms. This role involves working on high-scale distributed architecture, handling large-scale data processing at a petabyte scale, working with numerous advertising data sources from major platforms such as Google, Meta, and TikTok, developing systems that export massive amounts of reports with thousands of data points daily, and building robust APIs using Python and Java. You will integrate complex tools like data catalogs (e.g., Atlan, Open Metadata) and semantic layers (e.g., Looker, <a href="http://cube.dev/">Cube.dev</a>) and work with multiple data lakes such as Snowflake, BigQuery, and DataBricks. Additionally, you will leverage native tables and newly supported open formats like Iceberg and Delta to ensure maximum flexibility and minimize go-to-market time for new data products.</p>
<p><strong>Who You Are:</strong></p>
<p>You are a passionate and experienced software engineer or product architect with data engineering tendencies looking to take on your next major technical projects.&nbsp; You enjoy learning the intricacies and nuances of a distributed system, and then elegantly and cleanly designing new technical implementations to organically grow that system to its greatest potential.&nbsp; You can speak intelligently on the complex interaction between code choices now, their system tradeoffs, evolution, interaction, first order, future and second order effects. A constant learner, you’re a continuous contributor to the improvement in team skill level.&nbsp; You’ve got the ability to take on individual assignments and complete them front to back.&nbsp; You pride yourself on good architecture, writing and delivering high quality code.&nbsp; And most importantly, you enjoy sharing, reviewing, and teaching those practices to others.</p>
<p><strong>What You Will do:</strong></p>
<ul>
<li>Be the technical system owner, responsible for producing a long-term technical vision, code quality, performance and observability.</li>
<li>Learn multiple complex systems that use numerous modern cutting-edge technologies, such as Looker, Snowflake and Airflow.</li>
<li>Design technical implementations to grow these systems</li>
<li>Design and implement systems responsible for high concurrency access to large data sets</li>
<li>Identify gaps, deficiencies and inefficiencies in the system. Propose and implement solutions.</li>
<li>Help oversee technical implementations written by the rest of the team.&nbsp; Ensure that team implementations are in line with the designs created by the team and aligned with DV best practices/agreed concepts, with an eye towards compatibility between features, design, implementation choices and best practices</li>
<li>Be quick to fix issues that come up, and help to mentor and train others on the team</li>
<li>Become a key contributor to feature scoping, technical implementation, and developer estimates</li>
<li>Work with the Product Management team to understand requirements</li>
<li>Be proactive about developer testing, and coding at all levels of a system of applications</li>
<li>Test and optimize code developed both by you and by other team members</li>
<li>Establish effective monitoring for automated system failure detection</li>
<li>Continuously release your features using automated deployment tools and frameworks</li>
</ul>
<p><strong>Requirements:</strong></p>
<ul>
<li>At least 7 years of professional software engineering experience; strong experience with REST APIs and web-based APIs:</li>
<li>
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<li data-stringify-indent="0" data-stringify-border="0">Backend software engineer experience with a proven track record of architecting, implementing, optimizing, deploying, and maintaining ETL solutions.</li>
</ul>
</div>
</div>
</div>
</div>
</div>
</div>
</div>
</div>
</div>
</div>
</div>
</li>
<li>Strong data engineering capabilities &amp;&nbsp;data modelling experience&nbsp;</li>
<li>
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<li data-stringify-indent="0" data-stringify-border="0">Design and develop Semantic data models using any of the Semantic layer platforms such as CubeDev, HoneyDew, AtScale, Looker etc.</li>
</ul>
</div>
</div>
</div>
</div>
</div>
</div>
</div>
</div>
</div>
</div>
</div>
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<li data-stringify-indent="0" data-stringify-border="0">Create and maintain Semantic layers that accurately represent business concepts and support complex querying and reporting</li>
<li>Experience and understanding of BI tools</li>
</ul>
</div>
</div>
</div>
</div>
</div>
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</li>
<li>Proven experience with Python, or other object oriented languages (JS, Java, C#, etc.)</li>
<li>Strong SQL proficiency with ability to suggest optimization for query performance and cost efficiency</li>
<li>Familiarity with core architecture principles of at scale systems</li>
<li>Familiarity with public cloud, such as GCP, AWS, Azure</li>
<li>Excellent communication skills</li>
<li>Experience with using task/build/automation tools in coordination with DevOps</li>
<li>Previous experience with managing and growing a large codebase over time is a large plus!</li>
<li>Knowledge of Kubernetes and Terraform are not required, but are a plus!</li>
<li>Previous experience as a team lead or a principal engineer or as an architect is not required, but is a plus.</li>
</ul>
<p style="text-align: justify;">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 - $235,000.00]. This role will also be eligible for bonus/commission (as applicable), equity, and benefits. The range above is for the expectations as laid out in the job description; however, we are often open to a wide variety of profiles, and recognize that the person we hire may be more or less experienced than this job description as posted.</p>
<p style="text-align: justify;"><strong>Not-so-fun fact:</strong>&nbsp;<a href="https://urldefense.com/v3/__https://hbr.org/2014/08/why-women-dont-apply-for-jobs-unless-theyre-100-qualified__;!!P6nVbRxDCw3cNFlf!EJszlPs7CwYzNT-NJOg9EZZm8SLk_u9r0_XmHjJQZBRBzKMxMlLzRyQb5e9Gb6uO0F2xTBQvUt-QaHkxF-J6DnOrpLeuZQc$" 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!</p>
<p style="text-align: justify;">&nbsp;</p>
<p style="text-align: justify;"><br><br></p>

**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/).

**Role Description:**

Help us build our analytics system used by both internal teams and external
clients, from the ground up. You will be a leading part of a high-performing
platform data engineering team, which builds an online analytics platform
providing insights and data for the world's largest brands and media
platforms. This role involves working on high-scale distributed architecture,
handling large-scale data processing at a petabyte scale, working with
numerous advertising data sources from major platforms such as Google, Meta,
and TikTok, developing systems that export massive amounts of reports with
thousands of data points daily, and building robust APIs using Python and
Java. You will integrate complex tools like data catalogs (e.g., Atlan, Open
Metadata) and semantic layers (e.g., Looker, [Cube.dev](http://cube.dev/)) and
work with multiple data lakes such as Snowflake, BigQuery, and DataBricks.
Additionally, you will leverage native tables and newly supported open formats
like Iceberg and Delta to ensure maximum flexibility and minimize go-to-market
time for new data products.

**Who You Are:**

You are a passionate and experienced software engineer or product architect
with data engineering tendencies looking to take on your next major technical
projects.  You enjoy learning the intricacies and nuances of a distributed
system, and then elegantly and cleanly designing new technical implementations
to organically grow that system to its greatest potential.  You can speak
intelligently on the complex interaction between code choices now, their
system tradeoffs, evolution, interaction, first order, future and second order
effects. A constant learner, you’re a continuous contributor to the
improvement in team skill level.  You’ve got the ability to take on individual
assignments and complete them front to back.  You pride yourself on good
architecture, writing and delivering high quality code.  And most importantly,
you enjoy sharing, reviewing, and teaching those practices to others.

**What You Will do:**

  * Be the technical system owner, responsible for producing a long-term technical vision, code quality, performance and observability.
  * Learn multiple complex systems that use numerous modern cutting-edge technologies, such as Looker, Snowflake and Airflow.
  * Design technical implementations to grow these systems
  * Design and implement systems responsible for high concurrency access to large data sets
  * Identify gaps, deficiencies and inefficiencies in the system. Propose and implement solutions.
  * Help oversee technical implementations written by the rest of the team.  Ensure that team implementations are in line with the designs created by the team and aligned with DV best practices/agreed concepts, with an eye towards compatibility between features, design, implementation choices and best practices
  * Be quick to fix issues that come up, and help to mentor and train others on the team
  * Become a key contributor to feature scoping, technical implementation, and developer estimates
  * Work with the Product Management team to understand requirements
  * Be proactive about developer testing, and coding at all levels of a system of applications
  * Test and optimize code developed both by you and by other team members
  * Establish effective monitoring for automated system failure detection
  * Continuously release your features using automated deployment tools and frameworks

**Requirements:**

  * At least 7 years of professional software engineering experience; strong experience with REST APIs and web-based APIs:
  *     * Backend software engineer experience with a proven track record of architecting, implementing, optimizing, deploying, and maintaining ETL solutions.

  * Strong data engineering capabilities & data modelling experience 
  *     * Design and develop Semantic data models using any of the Semantic layer platforms such as CubeDev, HoneyDew, AtScale, Looker etc.

    * Create and maintain Semantic layers that accurately represent business concepts and support complex querying and reporting
    * Experience and understanding of BI tools

  * Proven experience with Python, or other object oriented languages (JS, Java, C#, etc.)
  * Strong SQL proficiency with ability to suggest optimization for query performance and cost efficiency
  * Familiarity with core architecture principles of at scale systems
  * Familiarity with public cloud, such as GCP, AWS, Azure
  * Excellent communication skills
  * Experience with using task/build/automation tools in coordination with DevOps
  * Previous experience with managing and growing a large codebase over time is a large plus!
  * Knowledge of Kubernetes and Terraform are not required, but are a plus!
  * Previous experience as a team lead or a principal engineer or as an architect is not required, but is a plus.

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 -
$235,000.00]. 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](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!



  
  

