Sr. Data Reliability Engineer I

DoubleVerify•New York, NY

4d•$94,000 - $175,000•Hybrid

About The Position

The Senior Data Reliability Engineer is an integral part of the Data Reliability (DRE) Team. This role involves analyzing and externalizing DoubleVerify's data internally, as well as monitoring, troubleshooting, and improving the company's data pipelines and technologies. The position combines hands-on operational work with development. Responsibilities include investigating client-facing tickets and understanding the business logic behind the data. Additionally, the role involves building automation and tooling to reduce manual ticket work and enhance data quality at scale.

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

Nice To Haves

Experience developing AI agents or LLM-based applications
Experience with LLM operations and observability, such as monitoring agents in production and measuring agent accuracy and performance
Previous experience in AdTech

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