200+ applicants

Company

Original Job Post

AppLovin · 3 days ago

Data Engineer

Palo Alto, CA

Full-time

Onsite

Mid Level

2+ years exp

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Comp. & Benefits

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Responsibilities

Design, develop, and maintain large-scale distributed systems

Collaborate with various engineering teams to meet a wide range of technological challenges

Influence and inspire team members

Qualification

Find out how your skills align with this job's requirements. If anything seems off, you can easily click on the tags to select or unselect skills to reflect your actual expertise.

JavaScalaAlgorithmsBig Data SystemsApache SparkHDFSProblem-SolvingAnalytical ThinkingAirflowBig Data Systems Apache SparkBig Data Systems SparkSQLBig Data Systems HDFSBroker Systems Apache KafkaBroker Systems RabbitMQCloud Platforms GCPCloud Platforms AWSKubernetes

Required

Minimum 2 years of meaningful professional experience

Have a Bachelor’s and/or Master’s Degree in Computer Science or a related field

Have used Java or Scala in a professional environment for at least 1 year

Strong algorithms experience

Have some experience with big data systems, like Apache Spark, big data processing, big data processing, big data pipelines, HDFS, etc.

Have a desire to solve large, complex problems. You look beyond the surface to understand root causes so that you can build long-term solutions for the whole ecosystem

Preferred

Knowledge of Airflow

Practical experience working with big data systems (Apache Spark, SparkSQL, HDFS)

Practical experience with broker systems (Apache Kafka, RabbitMQ, etc)

Practical experience working in the cloud (GCP, AWS, etc) or with kubernetes

Company

AppLovin

Glassdoor

3.7

AppLovin makes technologies that help businesses of every size connect to their ideal customers.

Founded in 2012

Palo Alto, California, USA

1,001-5,000 employees

https://www.applovin.com

H1B Sponsorship

AppLovin has a track record of offering H1B sponsorships. Please note that this does not guarantee sponsorship for this specific role. Below presents additional info for your reference. (Data Powered by US Department of Labor)

Distribution of Different Job Fields Receiving Sponsorship

Trends of Total Sponsorships

2023 (22)

2022 (27)

2021 (16)

2020 (14)