Principal Backend Engineer - Analytics

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Join Zscaler: Leading Cloud Security with Innovation and Inclusivity

At Zscaler, we are a trailblazer in cloud security, serving thousands of enterprise customers globally, including 40% of Fortune 500 companies. Founded in 2007, Zscaler (NASDAQ: ZS) strives to make the cloud a secure and seamless environment for conducting business. Our AI-driven Zscaler Zero Trust Exchange™ platform safeguards enterprises against cyber threats and data breaches, enabling secure connectivity for users, devices, and applications from any location.

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Zscaler is proud to be recognized as a Best Workplace in Technology by Fortune and other esteemed organizations. We foster an inclusive and collaborative culture that nurtures some of the brightest talents in the industry. If you thrive in a dynamic and fast-paced environment, and are passionate about innovation and building breakthroughs for the greater good, consider making your next career move with Zscaler.

Job Opportunity: Principal Backend Engineer - Analytics

We are on the lookout for a skilled and experienced Backend Engineer to join our team. In this role, you will be instrumental in developing and maintaining the analytics pipeline that drives insights and decision-making across our organization. The ideal candidate will possess a strong background in databases, SQL, analytics, and optimization to ensure efficient data handling and processing.

Key Responsibilities

Develop and Optimize Analytics Pipeline:

  • Design, build, and maintain scalable and robust backend systems for our analytics pipeline.
  • Optimize data processing and storage mechanisms for performance and efficiency.

Database Management:

  • Implement and manage database solutions to store and retrieve large datasets.
  • Write complex SQL queries for data manipulation and retrieval.
  • Ensure database performance, integrity, and reliability.

Data Analytics Integration:

  • Collaborate with data scientists and analysts to integrate advanced analytics and machine learning models into the pipeline.
  • Develop APIs and services for data access and manipulation.

Performance Optimization:

  • Monitor and optimize the performance of the backend systems.
  • Implement caching, indexing, and other optimization techniques.

Quality Assurance:

  • Ensure the accuracy and integrity of data throughout the pipeline.
  • Implement automated tests and conduct code reviews to maintain high code quality.

Collaboration and Support:

  • Work closely with other engineering teams to integrate the analytics pipeline into the broader system architecture.
  • Provide technical support and guidance on backend and database-related issues.

Qualifications

  • Bachelor’s/Master’s degree in Computer Science, Engineering, or a related field.
  • 10+ years experience as a Backend Engineer or similar role, with a focus on analytics and databases.
  • Expertise in SQL database technologies.
  • Strong knowledge of data structures, algorithms, and software engineering principles.
  • Proficiency in a backend programming language (e.g., Python, Java).
  • Familiarity with cloud services (AWS, Azure, GCP) and containerization technologies (Docker, Kubernetes).

Attributes

  • Excellent problem-solving skills and attention to detail.
  • Strong analytical and critical thinking abilities.
  • Excellent communication and teamwork skills.
  • Self-motivated with a passion for continuous learning and improvement.

Base Pay Range: $175,000—$250,000 USD.

The base salary range listed for this full-time position excludes commission/bonus/equity (if applicable) and benefits.

Zscaler’s salary ranges are benchmarked and determined by role and level. The range displayed on each job posting reflects the minimum and maximum target for new hire salaries for the position across all US locations and could be higher or lower based on factors like job-related skills, experience, and relevant education or training.

By applying for this role, you agree to adhere to applicable laws, regulations, and Zscaler policies, including those related to security and privacy standards and guidelines.