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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 90 billion 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 looking to hire an accomplished Data Engineer to join our US team, 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.
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Who you are:
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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.
California Residents, please review the Chartboost California Employment Candidate Privacy Notice before submitting any personal information.
Full Time
IT Outsourcing & Consulting
$103k-131k (estimate)
10/10/2022
01/31/2023
chartboost.com
SAN FRANCISCO, CA
200 - 500
2011
MARIA RIBAS
$10M - $50M
IT Outsourcing & Consulting
Founded in 2011, Chartboost is one of the leading in-app monetization and programmatic advertising platforms. Reaching over 700M unique users every month across more than 200,000 mobile apps, Chartboost works with majority of the top grossing iOS and Android app developers. Through the Chartboost platform, Chartboost empowers app developers to earn advertising revenue while connecting advertisers to highly engaged audiences. The Chartboost SDK is the highest integrated independent mobile ad SDK. The company has been ranked as a top media source by Kochava, Appsflyer, and Singular. Chartboost i...s a Sequoia-backed company with offices in San Francisco (HQ), Amsterdam, Barcelona, and Beijing. For more information, please visit www.chartboost.com and for a full rundown of open positions and a deeper look into our amazing organization, visit www.chartboost.com/careers.
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The following is the career advancement route for Data Engineer, US positions, which can be used as a reference in future career path planning. As a Data Engineer, US, it can be promoted into senior positions as a Database Engineer IV that are expected to handle more key tasks, people in this role will get a higher salary paid than an ordinary Data Engineer, US. You can explore the career advancement for a Data Engineer, US below and select your interested title to get hiring information.
If you are interested in becoming a Data Engineer, you need to understand the job requirements and the detailed related responsibilities. Of course, a good educational background and an applicable major will also help in job hunting. Below are some tips on how to become a Data Engineer for your reference.
Step 1: Understand the job description and responsibilities of an Accountant.
Quotes from people on Data Engineer job description and responsibilities
The data engineer develops and maintains the enterprise data framework for continued use.
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A data engineer prepares data for analytical or operational uses.
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Data engineers simplify complex data structure and prevent the reduplication of data.
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Data Engineers are the technical professionals who prepare data that can be used by data scientists for valuable decisions and strategies.
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Step 2: Knowing the best tips for becoming an Accountant can help you explore the needs of the position and prepare for the job-related knowledge well ahead of time.
Career tips from people on Data Engineer jobs
Changing oil, running basic checks, topping off fluids and checking tire pressure are common job duties.
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Oil changes are an essential component of preventative maintenance.
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A data engineer should be aligned with a data scientist’s needs while creating a data system.
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Start with an entry-level position.
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Consider pursuing additional professional engineering or big data certifications.
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Step 3: View the best colleges and universities for Data Engineer.