Senior Data Engineer, TripleLift
$130-170k
Omnichannel advertisement marketplace
Be an early applicant
Omnichannel advertisement marketplace
201-500 employees
Be an early applicant
$130-170k
201-500 employees
Company mission
To elevate digital advertising through beautiful creative, quality publishers, actionable data and smart targeting.
Role
Who you are
- Bachelor’s degree in Computer Science, a related technical field, or equivalent professional experience
- Minimum of 5 years of professional software engineering experience, with a strong focus on data and ML processes running in production at scale
- Experience with optimizing big data and ML pipelines like Spark and Kafka at scale
- Fundamental knowledge of ML and AI operations and processes. Experience in MLFlow, Feast, Ray, and other AI training technologies a plus
- Understanding of a variety of database technologies such as OpenSearch, Druid, Clickhouse, InfluxDB, etc
- Proven track record of cross-functional data modeling
- Strong command of SQL and expertise in one or familiarity with multiple of the following languages: Python, Scala, Java
- Experience in containerization, K8s and ArgoCD is a plus
What the job involves
- TripleLift is seeking a Senior Data Engineer to join a small, influential Data Engineering team
- This hire will be responsible for expanding and optimizing our data pipeline architecture, as well as optimizing data flow and collection for cross functional teams
- The ideal candidate is an experienced data pipeline builder and data wrangler who enjoys optimizing data systems and building them from the ground up
- The Senior Data Engineer will support our software engineers, product managers, business intelligence analysts and data scientists on data initiatives, and will ensure optimal data delivery architecture is consistent throughout ongoing projects
- They must be self-directed and comfortable supporting the data needs of multiple teams, systems and products
- The right candidate will be excited by the prospect of optimizing or even re-designing our company’s data architecture to support our next generation of products and data initiatives
- Create and maintain optimal data pipeline architecture,
- Explore and assemble large, complex data sets that meet functional / non-functional business requirements
- Identify, design, and implement internal process improvements: automating manual processes, optimizing data delivery, re-designing infrastructure for greater scalability, etc
- Build the infrastructure required for optimal extraction, transformation, and loading of data from a wide variety of data sources using Spark, EMR, Kafka and other big data technologies
- Work with stakeholders across different teams, including product managers, engineers and analysts to assist with data-related technical issues and support their data infrastructure needs
Our take
In order to survive in the digital age, businesses must now market their brand through omnichannel digital advertisement formats. However, building the technological infrastructure for omnichannel advertisement can be a convoluted process, with businesses having to liaise with multiple DSPs and publishers, and work with different software integrations across multiple platforms.
TripleLift is an omnichannel advertisement marketplace that aims to help businesses build advertisement campaigns across online video, CTV, display, branded content, and native formats within a single marketplace. The company partners with digital media publishers, DSPs, brands, and software companies to provide everything businesses need from analytic and engagement tools to the advertisement content itself.
There are many tech startups aiming to tackle the challenges of omnichannel advertising, and TripleLift has recognized that businesses seek operations from many of these providers, helping to reduce the complexity of marketing campaigns by connecting all parties within a single marketplace. Ultimately, this approach helps the company not only serve businesses and their marketing campaigns but also match the service providers with clients.
Kirsty
Company Specialist at Welcome to the Jungle
Insights
-6% employee growth in 12 months
Company
Funding (last 2 of 5 rounds)
Jun 2015
$10.5m
SERIES B
Mar 2014
$4m
SERIES A
Total funding: $18.7m
Company benefits
- Medical, Dental & Vision Plans
- Unlimited PTO
- 401k w/ employer match
Company HQ
Flatiron District, New York, NY
Leadership
Eric Berry
(Board Member & Co-Founder)Associate of Simpson Thacher & Bartlett LLP from 2008 to 2010. Worked on Product Architecture and Client Services for AppNexus from 2010 to 2012.
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