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Data Engineer, US
CHARTBOOST Chicago, IL
$103k-131k (estimate)
Full Time | IT Outsourcing & Consulting 6 Months Ago
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CHARTBOOST is Hiring a Remote Data Engineer, US

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.

Impact you will make:

  • Develop high-quality reliable data pipelines that convert data streams into valuable information
  • Design, implement and deploy both real time and batch data processing pipelines for internal and external customers
  • Develop tools to monitor, debug, analyze and operate our data infrastructure
  • Design and implement data technologies that can scale for hundreds of millions of users
  • Collaborate with our product and business teams to deliver valuable new features and functions

Who you are:

  • BS in Computer Science or related technical discipline or equivalent experience
  • 2 years of professional experience in data engineering environments
  • 2 years of experience with SQL and programming in any of Python/Java/Scala or similar HLL
  • Experience with data pipelines processing larger than 10TB of data is a plus
  • Experience working in cloud environments, ideally with GCP or AWS
  • Strong experience in improving performance of queries and data jobs and scaling the system for exponential growth in data volumes and traffic
  • Expert debugging skills and enthusiasm for automation to deliver high-quality reliable systems
  • Comfortable with modern development tools such as Git and Confluence and working in a distributed agile team environment with both high autonomy and regular collaboration

Perks:

  • The opportunity to help continue to build a company with the founding team
  • Restricted Stock Units (RSUs) - you will have a stake in the future success of Chartboost and Zynga
  • Comprehensive medical, dental and vision insurance 
  • 401(k) plan with match through Fidelity
  • Catered lunches and fully stocked kitchens 
  • Commuter Program
  • Flex Vacation – personal time to refresh your mind/body/soul, spend time with loved ones and celebrate life events. There is no accrual or specific limit to the amount of time an employee may use

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.

Job Summary

JOB TYPE

Full Time

INDUSTRY

IT Outsourcing & Consulting

SALARY

$103k-131k (estimate)

POST DATE

10/10/2022

EXPIRATION DATE

01/31/2023

WEBSITE

chartboost.com

HEADQUARTERS

SAN FRANCISCO, CA

SIZE

200 - 500

FOUNDED

2011

CEO

MARIA RIBAS

REVENUE

$10M - $50M

INDUSTRY

IT Outsourcing & Consulting

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About Chartboost

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. More
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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.

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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.

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Step 3: View the best colleges and universities for Data Engineer.

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