Who we are:

Chartboost is the leading in-app monetization and programmatic advertising platform. We reach a global audience of over 700 million monthly active users and process over 2.7 trillion monthly advertising auctions. The Chartboost SDK is one the most widely integrated mobile ad SDKs and through the Chartboost Exchange, Ad Network, DSP and other services, we empower mobile app developers to build businesses, while connecting advertisers to highly engaged audiences.

Chartboost is hiring an accomplished Senior Data Engineer to join our team in Spain, helping us build and maintain a data platform that supports diverse uses. This includes data analysis, exploration, aggregation, user modeling, and scalable training systems. As part of the Data Team you will be a key player in our small, nimble, internationally-distributed team and drive significant impact all across the company's data technology and business.

We currently use Python, Java, and Scala to develop tools with Spark, Kafka, Airflow, MySQL, Druid, Spinnaker, and Kubernetes. We run in both GCP and AWS, but primarily work with Dataproc, Dataflow, BigQuery and Big Table. You will have the opportunity to join us in exploring new technologies and use them to design, deploy and operate highly performant systems.

In this role you are expected to be comfortable working to high standards as a professional data engineer, dealing with huge amounts of business-critical data (PBs), and to contribute across a full spectrum of responsibilities from architecture to ops.

Impact you will make:

• Architect real time and batch data processing pipelines to consume from multiple systems
• Develop tools to monitor, debug, analyze and operate our data infrastructure
• Design and implement data schemas and models that can scale for hundreds of millions of users
• Collaborate closely with the product and business teams to build new features and infrastructure
• Collaborate with Data Scientists to build large scale predictive models
• Develop reliable data pipelines that convert data into powerful signals and features
• Evaluate new technologies for adoption, and organize smooth migrations

Who you are:

• BS in Computer Science or related technical discipline
• 4+ years of experience in Data Warehousing, and SQL
• 4+ years of experience in programming in any of Python / Java / Scala
• Experience working in cloud environments, ideally with GCP or AWS
• Strong experience in improving performance of queries, data jobs, and scaling the system for exponential growth
• Expert debugging skills and emphasis on automated tests to build high quality systems
• Experience with data pipelines processing larger than 10TB of data

The following experience would be a plus:

• Spark
• Great Expectations or other Data Quality tools
• Databricks
• Apache Beam

Perks:

• Competitive salary with bonuses
• Flexible schedule based on core hours and the possibility of working remotely. 
• Private health insurance
• Life insurance
• Optical complement for glasses or contact lenses. 
• Company sponsored lunch
• English/Spanish lessons and/or other investments in your professional development
• Gym membership 
• Transportation reimbursement
  
• Healthy snacks, and coffee in our cool office in the center of Barcelona
• 23 days of paid time off per year
• 15 paid holidays per year
• Team building events

More about us:

We are proud of the product we've built and appreciate the impact it has on other people's businesses and lives. We want to be surrounded by people who are always finding opportunities to try something new and grow. We love data and anything that helps drive intelligent decisions and always design with the user in mind.  Sounds like a fit? Join us, and be part of the team that will change the future of mobile gaming!

We are an equal opportunity employer — we celebrate diversity and are committed to creating an inclusive environment for all employees and make our hiring decisions without regard to race, color, religion, gender, gender identity or expression, sexual orientation, national origin, genetics, disability, age, or veteran status.