Senior Data Engineer
- Data Engineer
- Other places
- $122 K - $190 K
- Full Time
Who we are
DoubleVerify is a big data analytics company that went public in April 2021 (NYSE: DV). We track and analyze tens of billions of ads daily for top brands worldwide such as Nike, AT&T, Disney, Vodafone, and most Fortune 500 companies. If you've seen an online ad via web, mobile, or CTV device, there's a high likelihood it was measured by us.
We operate on a massive scale, handling over 100 billion events per day and over 1 million RPS at peak times. We process events in real-time with low latencies (ms) to assist our clients in making decisions before, during, and after an ad is delivered. We ensure all ads are fraud-free, appear alongside suitable content, are shown to people in the correct locations, and measure viewability and user engagement throughout the ad's lifecycle.
Our operations are global, with R&D centers in Tel Aviv, New York, Finland, Berlin, Belgium, and San Diego. We work in a fast-paced environment and face many challenges. If you enjoy working on a large scale and want to help build products that significantly impact the industry and the web, then you belong with us.
What will you do
You will process tens of billions of records daily primarily using Python and SQL, leveraging advanced technologies such as DataBricks, Spark, BigQuery, Vertica, Kafka, Docker, Kubernetes, Gitlab, and more.
You will build the next generation of digital advertising optimization tools used by the world's biggest advertisers to understand and optimize their ROI. This product operates on a genuine big data scale and significantly impacts our clients and the digital advertising industry.
You're expected to maintain very high engineering standards, which include testing, automated deployment, infrastructure as code, as well as a high degree of monitoring and availability.
We believe in our people's ability to see things through to completion; working in collaboration with product managers, crafting solutions, continuously building, deploying, and analyzing data - getting things done.
Who you are