Senior Software Engineer

CNN is seeking a Sr. Software Engineer to serve as the technical authority for CNN's Data Platform - the foundation that powers analytics, data science, machine learning, and AI across CNN's digital products. You will define and execute the platform's data strategy, architect the systems that transform raw event data into business-ready intelligence and enable teams across CNN to build on a shared, reliable data ecosystem.

Your work powers audience analytics, personalization, and content recommendations for millions of users daily across CNN.com, the CNN mobile app, and connected TV experiences. You will drive architecture decisions, set engineering standards, and mentor other engineers on the team. If you thrive on owning complex systems end-to-end and care deeply about building reliable, secure infrastructure at scale - this is the role.

Your Role Accountabilities

• Set the architectural direction for CNN's Data Platform - own data modeling, schema design, and platform capabilities that serve Analytics, Data Science, ML, and AI teams

• Lead architecture, design, and implementation of CNN's Data Platform for real-time data use cases

• Mentor junior engineers through code reviews, design sessions, and technical guidance

• Deliver scalable data pipelines for both real-time streaming and batch processing, from event collection through transformation to business-ready datasets

• Drive best practices around security, performance, and reliability for data services

• Contribute to technical roadmap planning and advocate for improvements to the data platform

• Deliver high-quality, well-tested code - improve code, documentation, and operational runbooks with each iteration

• Communicate designs, architectural decisions, and technical tradeoffs clearly to engineers and leaders at all levels - represent the data platform domain with autonomy

• Evangelize and oversee implementation of data engineering best practices - your code, documentation, and operational standards are the model others follow

Required

• 5+ years of software engineering experience with deep expertise in data engineering, data platform architecture, and large-scale data systems

• 3+ years of experience with cloud technology (AWS, GCP, or Azure), including data-specific services (e.g., EMR, Glue, S3, Athena, Redshift)

• Strong expertise in data processing frameworks (Spark, Flink, or equivalent) and orchestration tools (Airflow, Dagster, or equivalent)

• Experience with data modeling, ETL architecture, and designing schemas that serve diverse analytical and ML use cases

• Strong programming experience across at least two of Java, Go, Python, and SQL

• Previous experience working with Snowflake, Databricks, or other modern enterprise data warehouses

• Demonstrated experience leading technical direction and setting engineering standards across multiple teams - not just executing, but defining how teams build

Preferred

• Experience working on end-to-end analytics pipelines from event collection to producing business-ready semantics

• Deep familiarity with dbt or similar transformation frameworks

• Experience with streaming and event-driven architectures (Kafka, Kinesis, Flink) at scale

• Experience building or supporting AI/ML pipelines, feature stores, or model training infrastructure

• Familiarity with data governance, data quality frameworks, and data cataloging tools

• Experience in media, streaming, digital advertising, or consumer-facing products at scale

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