Principal Data Engineer

About ZscalerZscaler (NASDAQ: ZS) accelerates digital transformation so that customers can be more agile, efficient, resilient, and secure. The Zscaler Zero Trust Exchange is the company’s cloud-native platform that protects thousands of customers from cyberattacks and data loss by securely connecting users, devices, and applications in any location.With more than 10 years of experience developing, operating, and scaling the cloud, Zscaler serves thousands of enterprise customers around the world, including 450 of the Forbes Global 2000 organizations. In addition to protecting customers from damaging threats, such as ransomware and data exfiltration, it helps them slash costs, reduce complexity, and improve the user experience by eliminating stacks of latency-creating gateway appliances.Zscaler was founded in 2007 with a mission to make the cloud a safe place to do business and a more enjoyable experience for enterprise users. Zscaler’s purpose-built security platform puts a company’s defenses and controls where the connections occur—the internet—so that every connection is fast and secure, no matter how or where users connect or where their applications and workloads reside.Position: Principal Data EngineerLocation: Remote within United StatesResponsibilities/What You’ll DoArchitect, design, and build large-scale data operations at Zscaler with a focus on scalability, latency, efficiency, standardization, interoperability and fault-tolerance.Work closely with senior leadership, business analysts, & engineering team to strategize and implement data initiatives.Drive technical architecture to accelerate solutions designs. Comprehensive understanding of data integration models, master data management, enterprise data assets and products.Explore, learn, & recommend new tools & technologies that help the data platform to stay up to date and operate in an efficient way.Improve, and implement data engineering & analytics engineering best practices. Expert in CICD pipelines, able to mentor and guide others to adoption and use.Collaborate with Data Engineering, Analytic engineering & BI teams and perform complex data analysis to design physical data models and mappings from business requirements.Hands on in designing & developing key initiative data pipelines to integrate various applications using supported APIs & model the data in cloud data warehouse to support the reporting requirements.Perform code reviews, manage code performance improvements, and teach standards for code maintainability.Solve technical problems of the highest scope and complexity.Propose ideas to improve the scale, performance, and capabilities of the Data Platform.Qualifications/Your Background:12+ years of experience in data warehouse design & development.Proficiency in building data pipelines to integrate business applications (salesforce, Netsuite, Google Analytics etc) with Snowflake.Extensive experience in generating architecture recommendations with the ability to implement them.Strong hands-on experience in modern data stack tools like Matillion, DBT.Completely proficient in advanced SQL, Python/Snowpark/PySpark/Scala (any Object Oriented language Concepts), ML libraries.Must have hands-on experience in Python to extract data from APIs, build data pipelines.Solid understanding of advanced Snowflake concepts like Streams, tasks, warehouse optimizations, SQL tuning/pruning, snowpark.Must have the knowledge of data visualization tools such as Tableau, and/or Power BI.Familiarity with data mesh style architecture.Experience in using data orchestration workflows using open-source tools Apache Airflow, Prefect is a plus.Zscaler’s salary ranges are benchmarked and are 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 a multitude of factors, including job-related skills, experience, and relevant education or training.The base salary range listed for this full-time position excludes commission/ bonus/ equity (if applicable) + benefits.Base Pay Range$180,000 — $200,000 USDBy applying for this role, you adhere to applicable laws, regulations, and Zscaler policies, including those related to security and privacy standards and guidelines.Zscaler is proud to be an equal opportunity and affirmative action employer. We celebrate diversity and are committed to creating an inclusive environment for all of our employees. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex (including pregnancy or related medical conditions), age, national origin, sexual orientation, gender identity or expression, genetic information, disability status, protected veteran status or any other characteristics protected by federal, state, or local laws.See more information by clicking on the Know Your Rights: Workplace Discrimination is Illegal link.Pay TransparencyZscaler complies with all applicable federal, state, and local pay transparency rules. For additional information about the federal requirements, click here.Zscaler is committed to providing reasonable support (called accommodations or adjustments) in our recruiting processes for candidates who are differently abled, have long term conditions, mental health conditions or sincerely held religious beliefs, or who are neurodivergent or require pregnancy-related support.

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