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About the Role
The Senior Data Reliability Engineer is an integral part of the Data Reliability (DRE) Team. This role combines hands-on operational work with development, involving analysis of client-facing tickets and the business logic behind our data, as well as building automation and tooling to reduce manual work and improve data quality at scale.
Responsibilities
- Gain in-depth knowledge of how data is collected, processed, and externalized to clients within DoubleVerify's architecture
- Investigate and resolve client-facing tickets, including data investigations and analysis of the business logic behind our data
- Develop automation and tooling that streamlines ticket handling and reduces recurring operational work
- Script in Python and SQL extensively
- Create reports and data visualizations using analysis tools such as Splunk and Grafana
- Work with Databricks, BigQuery, Snowflake, OLTP databases, MongoDB, and similar technologies
- Work with Kubernetes, Docker, Terraform, Helm charts, and related tools
- Build strong relationships with teams across the company, solve operational issues, and implement quality improvements
- Participate in the on-call rotation - the rotation covers one week of on-call roughly every 5-6 weeks
Requirements
- Bachelor's degree in CS or equivalent experience. Degree in a technical field preferred
- 3+ years of experience writing Advanced SQL and scripting languages, Python, bash, etc
- 3+ years of Linux experience
- Experience working with Kubernetes, Docker, Terraform, Helm charts, and fundamentals of DevOps
- 3+ years of experience working with SQL/NoSQL Databases and data warehouses such as Databricks, BigQuery, Snowflake, MongoDB, etc.
- Knowledge of Cloud computing fundamentals and experience working with public cloud providers such as GCP, AWS, Azure, etc.
- Experience working with GitHub, CI/CD, GitLab, or other automation/delivery tools
- Good understanding of BI and Data Warehousing concepts (ETL, OLAP vs. OLTP, Slowly Changing Dimensions)
- Demonstrated ability to adapt quickly, 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 a proven ability to execute multiple tasks simultaneously
- Excellent interpersonal skills, including relationship building with diverse, global, cross-functional teams
- Good understanding of process automation
Skills
- Python
- SQL
- Linux
- Kubernetes
- Docker
- Terraform
- Helm charts
- DevOps
- SQL/NoSQL Databases
- Databricks
- BigQuery
- Snowflake
- MongoDB
- Cloud computing
- GCP
- AWS
- Azure
- GitHub
- CI/CD
- GitLab
- BI concepts
- Data Warehousing concepts
- ETL
- OLAP
- OLTP
- Slowly Changing Dimensions
- Process automation
- AI agents
- LLM-based applications
- LLM operations
- Observability
Location
- New York City
Work Type
- Full-time
- Hybrid
Experience Level
- Senior
- 3+ years
Education Level
- Bachelor's degree in CS or equivalent experience
- Technical degree preferred
Salary/Compensations
- $94,000 - $175,000
Benefits
- Bonus/commission (as applicable)
- Equity
About the Company
- DV is the leader in digital performance solutions, helping advertiser and agency partners Verify the quality of their digital campaigns, Optimise to improve performance and Prove that they’re achieving their business outcomes, through unbiased 3rd party 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, agencies, publishers, and digital ad platforms.
- 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.
Equal Opportunity
- 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!