Sr. Staff Data Engineer

About Zscaler

Zscaler accelerates digital transformation to ensure our customers can be more agile efficient resilient and secure. As an AI-forward enterprise we are constantly pushing the envelope leveraging the worlds largest security data lake to power our cloud-native Zero Trust Exchange platform. This innovation protects our customers from cyberattacks and data loss by securely connecting users devices and applications in any location.

Here impact in your role matters more than title and trust is built on results. We say impact over activity. We seek innovators who actively use AI to amplify their impact and who thrive in an environment where we leverage intelligent systems to stay ahead of evolving threats. We believe in transparency and value constructive honest debatewere focused on getting to the best ideas faster. We build high-performing teams that can make an impact quickly and with high quality. To do this we are building a culture of execution centered on customer obsession collaboration ownership and accountability.

We value high-impact high-accountability with a sense of urgency where youre enabled to do your best work and embrace your potential. If youre driven by purpose thrive on solving complex challenges and want to be part of the team thats helping to secure the AI age we invite you to bring your talents to Zscaler and help shape the future of cybersecurity.

We are looking for a Sr Staff Data Engineer to join our Engineering team. This is a hybrid role based in Israel reporting to the Senior Manager Software Development Engineering. You will play a key role in designing building and maintaining the data pipelines that fuel business insights for the worlds largest cloud security platform. You will bring vision and passion to a team of experts enabling organizations worldwide to harness speed and agility through a cloud-first strategy.

What youll do (Role Expectations)

• Design develop and implement scalable resilient data pipelines using Apache Spark Databricks and Delta Lake

• Lead projects end-to-end through implementation testing deployment and monitoring while collaborating with engineering teams across the organization

• Research and investigate new SaaS platforms and APIs to uncover opportunities for new security detections

• Optimize data infrastructure to ensure smooth operation performance efficiency and data integrity throughout the data lifecycle

• Act as a force multiplier by mentoring senior engineers and setting high technical standards across the team

Who You Are (Success Profile)

• You thrive in ambiguity. Youre comfortable building the path as you walk it. You thrive in a dynamic environment seeing ambiguity not as a hindrance but as the raw material to build something meaningful.

• You act like an owner. Your passion for the mission fuels your bias for action. You operate with integrity because you genuinely care about the outcome. True ownership involves leveraging dynamic range: the ability to navigate seamlessly between high-level strategy and hands-on execution.

• You are a problem-solver. You love running towards the challenges because you are laser-focused on finding the solution knowing that solving the hard problems delivers the biggest impact.

• You are a high-trust collaborator. You are ambitious for the team not just yourself. You embrace our challenge culture by giving and receiving ongoing feedbackknowing that candor delivered with clarity and respect is the truest form of teamwork and the fastest way to earn trust.

• You are a learner. You have a true growth mindset and are obsessed with your own development actively seeking feedback to become a better partner and a stronger teammate. You love what you do and you do it with purpose.

What Were Looking for (Minimum Qualifications)

• 7 years of experience in data engineering with a proven track record of designing and building large-scale data systems

• Demonstrated mastery of Apache Spark (PySpark preferred) and a deep architectural understanding of distributed data processing frameworks

• Expert-level proficiency in SQL data modeling and the principles of modern data warehousing and data lake architecture

What Will Make You Stand Out (Preferred Qualifications)

• Direct experience working in cybersecurity threat intelligence or a related security-focused domain

• Proven experience building production-grade data solutions specifically using Databricks

• A security-first mindset and a strong curiosity for understanding how systems can be monitored and secured

#LI-Hybrid

#LI-MP1

At Zscaler we are committed to building a team that reflects the communities we serve and the customers we work with. We foster an inclusive environment that values all backgrounds and perspectives emphasizing collaboration and belonging. Join us in our mission to make doing business seamless and secure.

Our Benefits program is one of the most important ways we support our employees. Zscaler proudly offers comprehensive and inclusive benefits to meet the diverse needs of our employees and their families throughout their life stages including:

By 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 committed to providing equal employment opportunities to all individuals. We strive to create a workplace where employees are treated with respect and have the chance to succeed. All qualified applicants will be considered 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 characteristic protected by federal state or local laws. See more information by clicking on the Know Your Rights: Workplace Discrimination is Illegal link.

Pay Transparency

Zscaler complies with all applicable federal state and local pay transparency rules.

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.