Data & Software Engineer 5 — System Insights & Productivity Metrics
Summary
Builds scalable data pipelines and software to collect, process, and visualize system insights and productivity metrics for Netflix engineers.
Netflix is a leading global entertainment service.
The System Insights & Productivity Metrics team is part of the Developer Experience organization and is responsible for delivering comprehensive system insights and metrics that empower engineers across Netflix.
As a Data and Software Engineer you will develop solutions that ingest, process, aggregate, visualize, and analyze system insights and metrics, directly impacting Netflix's ability to deliver high‑quality entertainment experiences to millions of users worldwide.
Responsibilities
- Design, develop, and maintain scalable data pipelines and software applications that support Netflix’s core business objectives.
- Collaborate with cross‑functional teams to understand business needs and translate them into technical solutions that drive innovation and efficiency.
- Implement and optimize distributed processing frameworks to handle large‑scale data processing.
- Develop and integrate software solutions for data analysis, reporting, and experimentation.
- Continuously improve system efficiency and effectiveness, leveraging best practices in data governance and software engineering.
- Stay informed about industry trends and emerging technologies to keep Netflix at the forefront of innovation.
Qualifications
- Proficient in Java, Spark, and SQL.
- Extensive experience working on ETL, aggregation, and reporting.
- Experience building and managing distributed systems and data pipelines.
- Experience building MCPs and GenAI frameworks.
- Familiar with big data technologies and comfortable working with large‑scale datasets.
- Strong communicator who can explain complex data problems in clear, concise language.
- Passionate about data quality, software design, and delivering impactful solutions.
- Comfortable working in a fast‑paced, agile environment with ambiguous requirements.
- Collaborative team player who thrives in a diverse and inclusive culture.
Nice‑to‑Have Qualifications
- Hands‑on experience with batch or streaming data processing.
- Knowledge of data modeling, data warehousing, and data transformation.
Inclusion is a Netflix value and we strive to host a meaningful interview experience for all candidates.
If you want an accommodation/adjustment for a disability or any other reason during the hiring process, please send a request to your recruiting partner.
We are an equal‑opportunity employer and celebrate diversity, recognizing that diversity builds stronger teams. We approach diversity and inclusion seriously and thoughtfully. We do not discriminate on the basis of race, religion, color, ancestry, national origin, caste, sex, sexual orientation, gender, gender identity or expression, age, disability, medical condition, pregnancy, genetic makeup, marital status, or military service.