Senior Data Reliability Engineer – Pipelines & Automation

DoubleVerify Inc.; United States; Hybrid; USD 94,000 - 175,000; Full time

Job summary

DoubleVerify Inc. in New York City is hiring a Senior Data Reliability Engineer to analyze data pipelines, externalize data, and build automation that reduces manual work and boosts data quality at scale.

You will script in Python/SQL, work with Databricks, BigQuery, Snowflake, and Kubernetes, and collaborate across teams in a hybrid office/remote setup with a competitive compensation package.

Qualifications

• Bachelor's degree in CS or equivalent experience.
• 3+ years of Advanced SQL and scripting (Python, bash, etc).
• 3+ years Linux experience.
• 3+ years Kubernetes, Docker, Terraform, Helm charts experience.
• 3+ years data warehouses: Databricks, BigQuery, Snowflake, MongoDB.
• Knowledge of cloud providers (GCP, AWS, Azure).
• Experience with GitHub, CI/CD, automation tools.
• BI and Data Warehousing concepts (ETL, OLAP/OLTP, SCD).
• Strong problem-solving and organizational skills.

Responsibilities

• Gain knowledge of data collection, processing, and client-facing delivery within DV's architecture.
• Investigate and resolve client-facing tickets and analyze data business logic.
• Develop automation and tooling to streamline tickets and reduce manual work.
• Script extensively in Python and SQL.
• Create reports and data visualizations using tools like Splunk and Grafana.
• Work with Databricks, BigQuery, Snowflake, OLTP/OLAP databases.
• Collaborate with teams across the company to fix operational issues and improve quality.
• Participate in on-call rotation (roughly weekly every 5–6 weeks).

Skills

Advanced SQL

Python

Bash

Linux

Cloud computing

GitHub CI/CD

BI & Data Warehousing

On-call

Communication

Automation

Analytical skills

Multitasking

AI agents

LLM observability

AdTech

Education

Bachelor's degree in CS or equivalent

Tools

Kubernetes

Docker

Terraform

Helm charts

Databricks

BigQuery

Snowflake

MongoDB

Job description

DoubleVerify Inc. in New York City is hiring a Senior Data Reliability Engineer to analyze data pipelines, externalize data, and build automation that reduces manual work and boosts data quality at scale.

You will script in Python/SQL, work with Databricks, BigQuery, Snowflake, and Kubernetes, and collaborate across teams in a hybrid office/remote setup with a competitive compensation package.