Senior Data Engineer developing solutions within the Global Specialty portfolio at an insurance company. Engaging with diverse business partners to ensure high quality data reporting.
About the role
- Senior Data Engineer on CNN's AI Enablement & Machine Learning team optimizing ML and AI experiences. Collaborating with engineers to enhance data pipelines and integrate features into platforms.
Responsibilities
- Optimize Site Performance: Dynamically deliver personalized content alongside cached assets, improving load times and enhancing user experience with features like page-level deduplication
- Enhance Data Access: Continue to evolve our pipelines to ensure the timeliest access to instrumentation and content data for feature and model development
- Accelerate Experimentation: Partner with our Data & Analytics organization to improve the tooling and coordination involved in A/B testing
- Support Engineering with Foundational Models: As tools like Bedrock emerge, enhance our platform to support them, ensuring we’re prepared for the next generation of AI-powered applications
- Work closely with ML engineering to make data easily accessible and understandable
- Ensure the reliability and minimize the latency of data delivery for ML use cases
- Create transparency in our data pipelines with comprehensive telemetry
- Develop and enforce data engineering, security, data quality standards through automation
- Collaborate with other engineers to develop and enhance core capabilities, infrastructure, and architecture
- Leverage vended and open-source cloud technologies to reduce maintenance costs and improve efficiencies, ensuring our products remain profitable
- Ensure that code is readable, maintainable, scalable, observable, and resilient
- Independently own and execute on projects within your squad
- Collaborate effectively with engineers across the team to deliver projects scale and integrate ML and AI features into the website, mobile app, and editorial tools
- Contribute to the design of components and systems and represent your thoughts in architecture reviews
- Be responsive to incidents and participate effectively in incident retrospectives
- Champion improvements to developer experience, integrations, and testing processes
- Support, coach, mentor, and provide valuable feedback to junior engineers on your squad
Requirements
- 5+ years progressively complex experience designing, building, and shipping products
- 3+ years experience in data engineering roles or backend roles with a data focus
- 2+ years experience building data pipelines with IaC
- 2+ years experience with Python
- 2+ years experience in one of Golang, Java, C++
- 2+ years experience with Kafka or equivalent
- Proficiency with Postgres or equivalent
- Proficiency with DynamoDB or equivalent
- Proficiency with Terraform or equivalent
- Deep understanding of common software data structures and algorithms and experience in modern data engineering technologies and best practices
- A proven track record of building real-time products for web scale that are highly available and performant
- A collaborative mindset, understanding that great results come from teamwork and a positive culture
Benefits
- Career defining opportunities
- Thoughtfully curated benefits
Job title
Job type
Experience level
Salary
Not specified
Degree requirement
Tech skills
Location requirements
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