Data Engineer

NBCUniversal is one of the world's leading media and entertainment companies. The Data Engineer will be responsible for creating a connected data ecosystem that enhances the power of streaming data and supports the Media Group's analysis and reporting needs.

Responsibilities

• Develop and maintain batch and streaming data pipelines according to business and technical requirements
• Deliver observable, reliable and secure software, embracing “you build it, you run it” mentality, and focus on automation
• Continually work on improving the codebase and have active participation in all aspects of the team, including agile ceremonies
• Take an active role in story definition, assisting business stakeholders with acceptance criteria
• Work with Principal Engineers and Architects to share and contribute to the broader technical vision
• Practice and champion best practices, striving towards excellence and raising the bar within the department
• Operationalize data processing systems (DevOps) and system observability (SRE)
• Contribute to the team in design, build, testing, scaling and maintaining data pipelines from a variety of source systems and streams (Internal, third party, cloud based, etc.), according to business and technical requirements
• Deliver observable, reliable and secure software, embracing “you build it you run it” mentality, and focus on automation and GitOps
• Continually work on improving the codebase and have active participation and oversight in all aspects of the team, including agile ceremonies
• Take an active role in story definition, assisting business stakeholders with acceptance criteria
• Work with Principal Engineers and Architects to share and contribute to the broader technical vision
• Develop and champion best practices, striving towards excellence and raising the bar within the department
• Develop solutions combining data blending, profiling, mining, statistical analysis, and machine learning, to better define and curate models, test hypothesis, and deliver key insights
• Operationalize data processing systems (dev ops)

Skills

• 1-3 years relevant experience in Data Engineering
• Experience of near Real Time & Batch Data Pipeline development in a similar Big Data Engineering role
• Programming skills with an OOP language (e.g., Java, C++)
• Proficient with SQL
• Experience working in a cloud environment such as Google Cloud Platform or AWS
• Hands on programming experience of the following (or similar) technologies: Kubernetes, Docker, Apache Beam, Apache Flink, Apache Spark, Google BigQuery, Snowflake, Google BigTable, Google Pub/Sub, Kafka, Apache Airflow
• Experience implementing observability around data pipelines using SRE best practices
• Experience in processing structured and unstructured data into a form suitable for analysis and reporting with integration with a variety of data metric providers ranging from advertising, web analytics, and consumer devices
• Bachelors' degree with a specialization in Computer Science, Engineering, Physics, other quantitative field or equivalent industry experience
• Strong Test-Driven Development background, with understanding of levels of testing required to continuously deliver value to production
• Experience with large-scale video assets
• Ability to work effectively across functions, disciplines, and levels
• Team-oriented and collaborative approach with a demonstrated aptitude, enthusiasm and willingness to learn new methods, tools, practices, and skills
• Ability to recognize discordant views and take part in constructive dialogue to resolve them
• Pride and ownership in your work and confident representation of your team to other parts of the business

Benefits

• Medical, dental and vision insurance
• 401(k)
• Paid leave
• Tuition reimbursement
• A variety of other discounts and perks

Company Overview

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