We are hiring a Senior Data Engineer at our new Los Angeles HQ to be involved in designing and building large-scale applications and systems to acquire, process, store, and illuminate multi-terabytes of YouTube, Facebook and other social media data. This role is an important part of the rapidly scaling infrastructure and data management demands of being the leader in video identification and organization technology for enterprise media companies and content owners.

Technology @ Vobile:

Languages: Python, Java, SQL and Kotlin
Data stores: PostreSQL, Elasticsearch, Redshift, GraphDB/NEO4J
Data processing: Apache Kafka, Apache Spark, Airflow, Luigi, Big Query
DevOps: Jenkins, Docker, Terraform, Ansible, AWS ECS, AWS EMR, GCP

Here’s what you’ll get to do:

Use your technical and creative genius in designing, developing, implementing, and deploying solutions for integrating data from a multitude of sources
Manage data compilation and integration operations shared over a complex infrastructure
Store and organize data efficiently and allow fluid i/o workflows
Mentor junior team members with code review and philosophy where possible
Apply and enforce best practices for extracting, transforming, and integrating new data sources
Write clean, tested, and well-documented code

Here’s what we’re looking for:

5+ years of experience
Bachelor’s or Master’s degree in Computer Science or related field with 2+ years of professional experience
Fluency with Python, Java, and SQL
Experience with distributed systems
Strong foundation in data structures, algorithms and software design
Experience with digital media, social media, and video APIs such as YouTube’s Data API is a big plus
Thorough testing and code review standards/practices
Strong verbal and written communication skills
Openness to new technologies and creative solutions