Overview
On Site
USD 72,000.00 - 144,000.00 per year
Full Time
Skills
Marketing
Analytics
Digital Media
Accountability
Advertising
Media
Data Analysis
Grafana
Data Visualization
Databricks
Snow Flake Schema
MongoDB
Linux
Writing
SQL
Scripting
Python
Bash
Business Intelligence
Data Warehouse
Extract
Transform
Load
OLAP
OLTP
Slowly Changing Dimensions
Analytical Skill
Conflict Resolution
Problem Solving
Negotiations
Organizational Skills
FOCUS
Relationship Building
Cross-functional Team
Process Automation
Cloud Computing
Google Cloud Platform
Google Cloud
Continuous Integration
Continuous Delivery
GitLab
DV
Research
Job Details
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 ;br>
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:
Requirements:
Nice to have:
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 boncommission (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!
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 ;br>
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 boncommission (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!
Employers have access to artificial intelligence language tools (“AI”) that help generate and enhance job descriptions and AI may have been used to create this description. The position description has been reviewed for accuracy and Dice believes it to correctly reflect the job opportunity.