16 Data Engineer jobs in Panama available for remote work from home. Apply for positions such as Staff Data Engineer (L6) - Ads, Data Engineer (L5), Data Visualization Engineer 5 - Member Insights Engineering and more! Discover the best work-from-home or hybrid, full- and part-time jobs.
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You will set the technical direction and design coherence across the entire Ads Data Engineering organization to ensure scalable and connected data products. You will also partner with leadership to bridge technical strategy with business priorities while mentoring engineers to foster technical growth.
Data Engineers at Netflix build and maintain systems to process data efficiently while modeling it to power analytics and machine learning models. They collaborate with business, engineering, and data science teams to curate data across various domains and enable a culture of learning.
Collaborate with analytics engineers and product managers to build and iterate on core data products and intuitive visualizations. Own the technical codebase, solve complex technical problems, and integrate emerging technologies like Generative AI to enhance product workflows.
Design and build scalable, highly available distributed infrastructure for Netflix's data platform, focusing on storage and movement. Collaborate across teams to develop shared primitives for fleet management, security, and reliability to optimize data services at scale.
Design and build a next-generation ML data and feature platform to improve productivity for ML practitioners. This includes developing near-real-time feature computation engines and centralized feature and embedding stores for high-throughput training and low-latency inference.
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You will build and ship full-stack features for infrastructure cost and usage tooling, including interactive web applications and backend services. You will also partner with data and analytics engineers to design data models and launch products for analyzing AI productivity and cloud efficiency.
Take end-to-end ownership of the data platform's reliability, including the design and maintenance of robust pipelines and the Snowflake data warehouse. Collaborate with cross-functional teams to model clean data products and implement comprehensive observability and SLA tracking.
Build and maintain large, web-scale datasets to improve member experience and support machine learning algorithms. Drive innovation in big data processing by developing data products and frameworks in partnership with algorithm teams.
Design and maintain scalable data pipelines and architectures to power data warehouses, LLM-driven applications, and AI-based BI. Develop RAG workflows, manage prompt engineering, and implement natural language query experiences for analytics.
The role involves owning the analytic data layer and building self-service data products to monitor cloud gaming infrastructure performance and capacity. You will partner with engineering teams to turn telemetry into actionable insights and drive resource prioritization.
You will design and build highly available, low-latency distributed data systems to support machine learning models and product innovation. You will collaborate with data scientists and product managers to ensure high-quality data delivery for commerce and identity flows.
Lead the Member Innovation Data Engineering team in partnership with Data Scientists and Product Managers to support product innovation. Responsibilities include guiding projects from ideation to production, recruiting top talent, and coaching employees through regular feedback.
Drive the strategic roadmap for privacy and data protection products to ensure responsible data use at scale. Partner with engineering, legal, and business teams to build tools for data governance, consent management, and privacy-enhancing technologies.
The Technical Program Manager will partner closely with the Privacy and Data Protection Engineering team to reduce data risks, ensure regulatory compliance, and foster a responsible data culture across Netflix. This involves driving the development and adoption of various data management capabilities across multiple data platforms, addressing challenges like data inventory, access control, and encryption.
You will design and execute rigorous A/B tests and causal inference analyses to optimize messaging strategies across various Netflix channels. Additionally, you will build and automate data pipelines and dashboards to provide actionable insights for cross-functional partners.
Lead the User Data & Consent subdomain by managing engineering managers and senior ICs to ensure reliable and compliant data collection and storage. Develop a multi-year technical vision for managing first-party user data and consent at scale while mitigating compliance risks.
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