> Markdown version of [/jobs/ext/2986188-senior-analytics-developer](https://www.wearedevelopers.com/jobs/ext/2986188-senior-analytics-developer). Every page supports `.md` or `Accept: text/markdown`. Links point to the HTML versions so they work for humans too. Agent guide: [/agents.md](https://www.wearedevelopers.com/agents.md). --- # Senior Analytics Developer - **Company:** Discovery Inc. - **Location:** Abbeville, SC, United States - **Experience:** Expert - **Salary:** $83,000.0 - $125,000.0 - **Contract:** Permanent contract - **Skills:** Java (Programming Language), Artificial Intelligence, Data Analysis, Batch Processing, Big Data, Code Review, Computer Programming, Data as a Services, Information Engineering, Data Governance, Data Infrastructure, Extract Transform Load (ETL), Mobile Application Software, Python (Programming Language), Machine Learning, Meta-Data Management, Recommender Systems, Standard Sql, Software Engineering, Data Streaming, Snowflake, Event Driven Architecture, Apache Flink, Real Time Data, Apache Kafka, Machine Learning Operations, Data Pipelines, Databricks, Golang - **Published:** September 18, 2026 - **Apply:** https://www.jobmonkeyjobs.com/career/28029786/Senior-Analytics-Developer-Any-Kanata-7384 ## About the Role CNN is seeking a Sr. Analytics Developer with subject matter expertise in analytic workstreams and data analysis. You have demonstrated a pattern of independently shipping analytical solutions. You are comfortable working on cross-functional team and diverse stakeholder requirements., 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 working with Snowflake, Databricks, or other modern enterprise data warehouses * 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 * Demonstrated experience leading technical direction and influencing best practices 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 * Familiarity 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 ## Description 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 * Participate in 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 * Develop, 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. * 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 * You create functional level impact and deliver more complex features. You also help drive clarity and define problems proactively. * Evangelize and oversee implementation of data engineering best practices - your code, documentation, and operational standards are the model others follow * You think about the long-term health of your work, your monitoring, your alerting, and your documentation. You nurture all of these in parallel to your engineer responsibilities. ## Related Videos - [Alibaba Big Data and Machine Learning Technology](https://www.wearedevelopers.com/videos/37-alibaba-big-data-and-machine-learning-technology) - [Go with the Flow: Stop the Leaks Before Your Memory's a Waterfall!](https://www.wearedevelopers.com/videos/100073-go-with-the-flow-stop-the-leaks-before-your-memory-s-a-waterfall) - [How Cisco embraced a DevOps culture within its network engineering team](https://www.wearedevelopers.com/videos/99-how-cisco-embraced-a-devops-culture-within-its-network-engineering-team) - [From Messy Queries to Scalable Systems - How Data Engineering actually works](https://www.wearedevelopers.com/videos/100203-from-messy-queries-to-scalable-systems-how-data-engineering-actually-works) - [PySpark - Combining Machine Learning & Big Data](https://www.wearedevelopers.com/videos/44-pyspark-combining-machine-learning-big-data) - [Hacking AI at the Edge of the Indian Ocean](https://www.wearedevelopers.com/videos/100177-hacking-ai-at-the-edge-of-the-indian-ocean) ## Related Articles - [Highest Paying Tech Companies for Developers](https://www.wearedevelopers.com/magazine/220-highest-paying-tech-companies-for-developers) - [Making Data Warehouses Fast: A Developer’s Story](https://www.wearedevelopers.com/magazine/107-making-data-warehouses-fast-a-developer-s-story) - [Coffee with Developers - Maria Apazoglou - Making AI understandable for all in production](https://www.wearedevelopers.com/magazine/475-coffee-with-developers-maria-apazoglou-making-ai-understandable-for-all-in-production) - [Top Big Data Technologies That You Need to Know](https://www.wearedevelopers.com/magazine/108-top-big-data-technologies-that-you-need-to-know) - [Navigating the AI Shift](https://www.wearedevelopers.com/magazine/629-navigating-the-ai-shift) - [How to Become an AI Engineer](https://www.wearedevelopers.com/magazine/331-how-to-become-an-ai-engineer)