Senior Data Engineer at Teya, focusing on scalable data product development and architectural design. Join to help build the modern data platform for advanced analytics and AI.
About the role
- Entry-level Data Engineer in Product Data Group at NGINX. Building scalable data pipelines and collaborating with engineers.
Responsibilities
- Build and support scalable data pipelines that turn raw product data into usable insights.
- Contribute to data cleaning, transformation, and modeling following clear design standards.
- Learn and apply data quality best practices, including testing, monitoring, and alerting.
- Help implement data management processes like backfills and retries.
- Write clear documentation so others can build on your work.
- Collaborate with engineers across teams to understand how product data flows end‑to‑end.
Requirements
- 0–2 years of experience or strong academic background in data engineering, analytics, or software engineering.
- Understanding of data modeling and schema design concepts.
- Working knowledge of SQL and Python.
- Clear communicator who enjoys collaborating and asking questions.
Benefits
- Requesting an accommodation is completely voluntary.
- F5 will assess the need for accommodations in the application process.
- Equal Employment Opportunity policy applies to all aspects of employment.
Job title
Job type
Experience level
Salary
Not specified
Degree requirement
Tech skills
Location requirements
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