Data Reliability Engineer II

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.

Position Overview:

The Data Reliability Engineer II is an integral part of the Data Operations Team, responsible for analyzing and externalizing DoubleVerify’s data internally as well as monitoring, troubleshooting, and improving the various company’s data pipelines and technologies.

Responsibilities:

• You will gain in-depth knowledge of how data is collected, processed, and externalized to clients within DoubleVerify’s architecture

• You will script in python and SQL extensively

• You will be working with data analysis tools such as Grafana to create reports and data visualization

• You will be part of the on-call rotation

• You will work with Databricks, BigQuery, Snowflake, OLTP, MongoDB, etc

• You will be thrilled at the prospect of building strong relationships with different teams in the company, solving operational issues, and implementing quality improvements

Requirements:

• Bachelor's degree in CS or equivalent experience. Degree in a technical field preferred

• Strong SQL querying skills

• 1 years SQL experience

• 1 years Linux environment experience

• 1 years of experience writing SQL and scripting languages python, bash, etc

• Good understanding of BI and Data Warehousing concepts (ETL, OLAP vs. OLTP, Slowly Changing Dimensions)

• Demonstrated ability to quickly adapt, learn new skill sets, and be able to understand operational challenges

• Strong analytical, problem-solving, negotiation, and organizational skills with a clear focus under pressure

• Must be proactive with proven ability to execute multiple tasks simultaneously

• Resourceful, results orientated with the ability to get things done and overcome obstacles

• Excellent interpersonal skills, including relationship building with diverse, global, cross-functional team

• Proven ability to troubleshoot and problem solve in complex systems

• Good understanding of process automation

Nice to have:

• Cloud computing fundamentals, knowledge of Google Cloud services

• Previous experience with gitops, CI/CD, GitLab or other automation/delivery tools

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.

Position Overview:

The Data Reliability Engineer II is an integral part of the Data Operations Team, responsible for analyzing and externalizing DoubleVerify’s data internally as well as monitoring, troubleshooting, and improving the various company’s data pipelines and technologies.

Responsibilities:

• You will gain in-depth knowledge of how data is collected, processed, and externalized to clients within DoubleVerify’s architecture
• You will script in python and SQL extensively
• You will be working with data analysis tools such as Grafana to create reports and data visualization
• You will be part of the on-call rotation
• You will work with Databricks, BigQuery, Snowflake, OLTP, MongoDB, etc
• You will be thrilled at the prospect of building strong relationships with different teams in the company, solving operational issues, and implementing quality improvements

Requirements:

• Bachelor's degree in CS or equivalent experience. Degree in a technical field preferred
• Strong SQL querying skills
• 1 years SQL experience
• 1 years Linux environment experience
• 1 years of experience writing SQL and scripting languages python, bash, etc
• Good understanding of BI and Data Warehousing concepts (ETL, OLAP vs. OLTP, Slowly Changing Dimensions)
• Demonstrated ability to quickly adapt, learn new skill sets, and be able to understand operational challenges
• Strong analytical, problem-solving, negotiation, and organizational skills with a clear focus under pressure
• Must be proactive with proven ability to execute multiple tasks simultaneously
• Resourceful, results orientated with the ability to get things done and overcome obstacles
• Excellent interpersonal skills, including relationship building with diverse, global, cross-functional team
• Proven ability to troubleshoot and problem solve in complex systems
• Good understanding of process automation

Nice to have:

• Cloud computing fundamentals, knowledge of Google Cloud services
• Previous experience with gitops, CI/CD, GitLab or other automation/delivery tools

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 $72,000- $144,000. 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 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!