Data Engineer – Publisher Integration Engineering at AT&T Careers - AT&T Careers
Skip to Main Content

We’ve got the data,
you bring the insight.

Technology Jobs

You’re looking for an opportunity to do something incredible, right? As an industry leader we’re dedicated to connecting the world in groundbreaking and entertaining ways. And that’s when our Technology team members can really shine, combining your passion for innovation and drive towards the future. From mobile apps to products and services, here’s your chance to create and develop life-changing innovations.

Data Engineer – Publisher Integration Engineering

New York, New York



Xandr’s mission is to Make Advertising Matter. We develop a technology platform that powers the real-time sale and purchase of digital & TV advertising. Our platform is engineered to provide one of the fastest, most reliable, and massively scaled advertising systems in the industry. As a transparent and independent partner for some of the largest publishers and advertisers, Xandr helps ensure that the Internet stays open and free.

As a Data Engineer on the Publisher Integrations capability, you will be responsible for creative solutions distilling data at a massive scale into insightful, actionable information for online publishers that use Xandr to drive demand.

Consider some of the problems we try to solve:

• Getting Insight: Rapidly process data on an immense scale. Create reports that drive business outcomes and optimizations. Balance granularity and business value with resource cost and efficiency.

• Grow a Mature Platform: Reduce latency and error rates. Increase uptime. Maintain speed, availability, and reliability as our client base grows.

About the job:

• Design and develop reliable, scalable and testable Map Reduce jobs and end-to-end data processing for reporting & analytics, real-time decision-making use cases

• Collaborate and communicate effectively with team members, product management, open source community members, and other stakeholders

• Build and maintain tools to automate regular testing and deployment

• Consistently optimize and improve our systems, tools, and testing


• BA/BS degree and 2+ years of experience in software engineering OR MS degree and 1+ years of experience (Degree in Computer Science or related field preferred)

• Proficiency with large-scale distributed data processing systems like Hadoop, MR, Hive, Presto, and distributed data stores like Vertica and Druid

• Experience building large-scale multi-TB data processing systems

• Experience supporting production systems

• Solid experience in Java/Python/Scala and SQL and proficiency with Unix tools

• Nice to have: Experience with Spark, Kafka, NoSQL databases

More about you:

• You are passionate about a culture of learning and teaching. You love challenging yourself to constantly improve, and sharing your knowledge to empower others

• You like to take risks when looking for novel solutions to complex problems. If faced with roadblocks, you continue to reach higher to make greatness happen

• You care about solving big, systemic problems. You look beyond the surface to understand root causes so that you can build long-term solutions for the whole ecosystem

• You believe in not only serving customers, but also empowering them by providing knowledge and tools

Job ID 1961241-1 Date posted 11/19/2019

Big Data Intern


Good experience overall. Colleagues were very helpful. Atmosphere was chilled out and there was no rush to complete the project. Was given ample amount of time to understand the project and contribute.


People are laid back and don't take initiative to do something new or optimize existing stuff. It's not primarily engineering company so if you know how to talk, you will go far longer in career.

Current Employee - Principal Business Manager
  • One Star Rating
  • Two Star Rating
  • Three Star Rating
  • Four Star Rating


This is the life – the #LifeAtATT, that is. We’re creating what’s next and having a blast doing it. You’re looking for proof? Well, see for yourself.

Back to top