Data Engineer

An Entertainment Company is seeking a Data Engineer in LA(Burbank or Glendale), SF, Seattle, Orlando, Bristol CT, Houston(Woodlands), NY, DC.

Role Description

As a Data Engineer, you will develop custom data pipelines across a wide variety of technologies. You will have the opportunity to engineer high-performance and large-scale data engineer projects, ensure solutions support all functional and non-functional requirements and develop production grade, consumable data views. The Data Engineer will also participate in operational support and maintenance of products/services as well as coordinate and collaborate with offshore teams.

As a Senior Data Engineer, you will also participate in discovery processes with stakeholders to identify business requirements and expected outcomes. The Senior Data Engineer will also participate in operational support and maintenance of products and services as well as mentor junior team members.

As a Lead Data Engineer, you will also lead and mentor engineering teams and help grow a team of world-class engineers. The Lead Data Engineer will also be a DevOps guru, provide technical guidance and act as a point of escalation for cloud data projects, develop reusable patterns and frameworks as part of the engineering process as well as lead discovery processes with stakeholders.

• Design and engineer high-performance/large scale data engineering projects, producing maintainable and secure code with automated testing in a continuous integration environment.

• Develop production grade, consumable data views

• Ensure solutions support all functional and non-functional requirements

• Participate in operational support and maintenance of products and services

• Ability to participate in discovery processes with stakeholders to identify business requirements and expected outcomes

• Ability to mentor to junior team members

• Coordinate and collaborate with offshore teams

Skills & Requirements

• Relevant cloud data engineering work experience

• Ability to perform across multiple phases of development for multiple complex projects, including technical design, build, and end-to-end testing

• Passionate about delivering data engineering projects and features in a team environment

• Demonstrate the ability to quickly learn new technologies.

• Troubleshooting skills, ability to determine impacts, ability to resolve complex issues, and ability to exercise sound judgment and initiative in stressful situations.

• Strong oral and written communication and interpersonal skills.

• Fundamentals of data pipelining, ETL, data architecture, and the overall data lifecycle

• Cross-platform development languages: Python preferred (Java specialty OK)

• Snowflake data warehouse exposure and experience

• SQL and scripting proficiency

• Relational database and NoSQL (ex: MongoDB, DynamoDB, Redis, HBase, Cassandra) database experience

• Cloud technologies including AWS and Google Cloud Platform (GCP)