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Data Engineer - IRIS.TV
VIANTLos Angeles, United Statesfull_timeVerifiedPosted 10 Sept 2025
About the role
WHAT YOU’LL DO
IRIS.TV is seeking a Data Engineer specializing in Clojure to work closely with our engineering team which is headquartered in Los Angeles and geographically distributed around the world. This is an exciting opportunity to work with big data, analytics, and real-time distributed systems in a fast-paced environment. The team leverages open source technologies and builds with hand tools, setting the bar high for a very robust and flexible data processing architecture for the company.
About IRIS.TVIRIS.TV is the world's leading video data platform. Founded in 2013, our mission is to connect and activate video data from any source to power better consumer experiences and business outcomes.
We're bringing video-level contextual data, brand safety and suitability to market with CTV and OLV for the first time ever. This gives buyers much needed transparency into the context of what they are buying and also helps publishers better prepare for the deprecation of cookies and solve issues with identity and privacy.At IRIS.TV we help our customers and partners maximize the value of their investment in video. Our privacy-first, neutral video data platform provides the leading media, data, advertising, and marketing companies with seamless on-boarding and activation of video data. Operating at massive scale, we process billions of video views per day and our customers are the largest brands in the world. We’re in the business of improving people's lives by creating more valuable and enjoyable user experiences for our customers and partners. Great storytelling, journalism, and education are essential for every culture and video is the most important medium for distributing information.We're growing our world class team and we'd like to meet you.
Our Company Values:Curious: demonstrates adaptive learning abilities and the ability to solve complex problems.Kind and optimistic: high EQ, not avoiding hard work or problems, able to maintain a positive attitude and grit.Excellent work ethic, a self-starter: embraces a get-it-done mentality and rolls up their sleeves.Self-aware: understands their own strengths/challenges and how that fits into a team environment.Integrity: strong moral principles to do the right thing for all parties.Empathy: strong teamwork and problem solving abilities and the ability to see the other side.Confident: they know how to disagree and challenge ideas with direct compassion.
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About Viant
Viant Technology Inc. (NASDAQ: DSP) is a leader in CTV and AI-powered programmatic advertising, dedicated to driving innovation in digital marketing. Viant’s omnichannel platform built for CTV allows marketers to plan, execute and measure their campaigns with unmatched precision and efficiency. W
IRIS.TV is seeking a Data Engineer specializing in Clojure to work closely with our engineering team which is headquartered in Los Angeles and geographically distributed around the world. This is an exciting opportunity to work with big data, analytics, and real-time distributed systems in a fast-paced environment. The team leverages open source technologies and builds with hand tools, setting the bar high for a very robust and flexible data processing architecture for the company.
About IRIS.TVIRIS.TV is the world's leading video data platform. Founded in 2013, our mission is to connect and activate video data from any source to power better consumer experiences and business outcomes.
We're bringing video-level contextual data, brand safety and suitability to market with CTV and OLV for the first time ever. This gives buyers much needed transparency into the context of what they are buying and also helps publishers better prepare for the deprecation of cookies and solve issues with identity and privacy.At IRIS.TV we help our customers and partners maximize the value of their investment in video. Our privacy-first, neutral video data platform provides the leading media, data, advertising, and marketing companies with seamless on-boarding and activation of video data. Operating at massive scale, we process billions of video views per day and our customers are the largest brands in the world. We’re in the business of improving people's lives by creating more valuable and enjoyable user experiences for our customers and partners. Great storytelling, journalism, and education are essential for every culture and video is the most important medium for distributing information.We're growing our world class team and we'd like to meet you.
Our Company Values:Curious: demonstrates adaptive learning abilities and the ability to solve complex problems.Kind and optimistic: high EQ, not avoiding hard work or problems, able to maintain a positive attitude and grit.Excellent work ethic, a self-starter: embraces a get-it-done mentality and rolls up their sleeves.Self-aware: understands their own strengths/challenges and how that fits into a team environment.Integrity: strong moral principles to do the right thing for all parties.Empathy: strong teamwork and problem solving abilities and the ability to see the other side.Confident: they know how to disagree and challenge ideas with direct compassion.
THE DAY-TO-DAY
- You will work closely with the Data Engineering team and the Data Science team, solving a wide variety of engineering challenges using Clojure and free software tools on AWS, working with high-availability distributed systems.
MUST HAVE
- Strong creative problem-solver with a love of the craft
- Industry experience with Clojure
- Excellent written English communication
- Self-directed, capable of making progress with little oversight
GREAT TO HAVE
- Experience with distributed systems (e.g., microservices, fault‑tolerant architectures)
- Proficiency in Kafka and Redis (for real-time streaming and in‑memory caching)
- Hands-on with containerization and orchestration—Docker and Kubernetes
- DevOps mindset, enabling deployment and automation of containerized workloads
- Performance tuning expertise (profiling, benchmarking, latency optimization)
- Familiarity with data science workflows, analytics pipelines, or ML support
- Domain knowledge in video, MarTech, AdTech, and data connectivity
LIFE AT VIANT
- Investing in our employee’s professional growth is important to us, but so is investing in their well-being. That’s why Viant was voted one of the BEST PLACES TO WORK!
- Some our favorite employee benefits include fully paid health insurance, paid parental leave and unlimited PTO and more. View a list of our benefits here.
#LI-KW1
About Viant
Viant Technology Inc. (NASDAQ: DSP) is a leader in CTV and AI-powered programmatic advertising, dedicated to driving innovation in digital marketing. Viant’s omnichannel platform built for CTV allows marketers to plan, execute and measure their campaigns with unmatched precision and efficiency. W
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