Salary
💰 $170,000 - $720,000 per year
About the role
- Collaborate with data engineers, software engineers, and QoE analytical engineers to build reliable, scalable data pipelines
- Transform client and server telemetry into core performance metrics
- Surface QoE insights
- Own your code, services, and pipelines
- Utilize data to create new product features and power machine-learning models
- Work in a rapidly changing environment with ambiguous requirements
Requirements
- Strong background in data processing or software engineering of data services
- Master at least one major programming language (preferably Python) and comfortable working with SQL
- Familiar with big data technologies like Spark and Flink and comfortable working with web-scale datasets
- Passionate about the end-to-end software development lifecycle, focusing on automation, testing, CI/CD, and documentation
- Solid DevOps and Operation fundamentals
- Comfortable working independently and with teams
- Health Plans
- Mental Health support
- 401(k) Retirement Plan with employer match
- Stock Option Program
- Disability Programs
- Health Savings and Flexible Spending Accounts
- Family-forming benefits
- Life and Serious Injury Benefits
- Paid leave of absence programs
- Full-time hourly employees accrue 35 days annually for paid time off
- Full-time salaried employees are immediately entitled to flexible time off
Applicant Tracking System Keywords
Tip: use these terms in your resume and cover letter to boost ATS matches.
Hard skills
PythonSQLdata processingdata servicesbig dataSparkFlinkautomationtestingCI/CD
Soft skills
collaborationindependenceadaptabilityproblem-solvingcommunication