Senior Data Engineer

Posted 2 Days Ago
Be an Early Applicant
Tel Aviv, ISR
In-Office
Senior level
Software • Cybersecurity
Cyera is the world’s leading AI-native data security platform.
The Role
Design, build, and scale batch and streaming data pipelines, warehouses, and cloud data platforms. Collaborate with researchers and ML teams to deliver reliable, optimized datasets. Lead migrations/backfills, implement event-driven architectures, operate distributed processing engines, and deploy data infrastructure in Kubernetes for high availability and performance.
Summary Generated by Built In
Description

About Cyera

Come join the company building the security operating model for the age of AI. AI has changed how data is used — and security must change with it. Cyera's mission is to empower businesses to accelerate AI Adoption by defining a holistic approach to securing AI - from data to access to model. Instead of perimeter controls and static policies, Cyera provides a unified control plane that understands relationships between data, access, and behaviors across humans, systems, and AI. Backed by the world’s leading investors and working with a large and growing list of Fortune 1000 companies, we are looking for world-class talent to join us as we usher in the new era of data and AI security.

About the Role

We’re looking for a Senior Data Engineer to join our Research Engineering Team and play a pivotal role in shaping the data infrastructure that powers Cyera’s innovative solutions. In this role, you’ll design, build, and scale data pipelines and data warehouses from the ground up, creating the backbone for the world’s leading data classification engine. You’ll collaborate closely with researchers and machine learning experts to enable the development of advanced models, ensuring a seamless flow of high-quality, reliable, and well-structured data. Your contributions will directly impact the scalability, performance, and precision of our platform, advancing our mission to protect critical data.

What You’ll Do

• Design and build scalable batch and streaming data pipelines that process complex datasets from diverse sources, enabling reliable and high-performance model training and inference.

• Collaborate closely with researchers and data scientists to deliver high-quality, structured datasets that accelerate experimentation and model iteration.

• Lead large-scale historical backfills and migration initiatives to ensure data consistency and integrity across evolving storage and compute platforms.

• Optimize data workflows through advanced query tuning, indexing, partitioning, and cost optimization strategies to support efficient large-scale analytics.

• Architect and maintain high-performance cloud-based data platforms using modern data stack components across AWS, GCP, or Azure.

• Operate distributed data processing engines to handle massive volumes of structured and unstructured data.

• Design and implement event-driven architectures using large-scale queue systems such as Kafka or SQS to ensure reliable and efficient data movement.

• Develop automated monitoring and validation systems that guarantee uptime, schema compatibility, and pipeline reliability.

• Deploy and manage data infrastructure in containerized, Kubernetes-based environments to support scalable and resilient services.

Who You Are

• 5+ years of experience in software engineering, with 2+ years focused on data engineering, building and operating large-scale data platforms.

• Proven experience designing and optimizing data pipelines, data warehouses, and big data solutions.

• Strong proficiency in data and advanced SQL, including: Complex analytical queries, Query performance tuning, Indexing & partitioning strategies

• Experience working with Relational and NoSQL databases

• Large-scale queue systems (Kafka, SQS, etc.)

• Experience working with Distributed processing engines

• Strong background in distributed systems and event-driven architectures.

• Experience working with cloud-native infrastructure and high-scale systems.

• Practical experience deploying and operating services in Kubernetes-based environments.

• Ability to thrive in a fast-paced research environment, solving complex data challenges with scalable and innovative solutions.

Nice-to-Haves

• Experience with additional data processing frameworks beyond the core stack.

• Background in cybersecurity-related data infrastructure projects.

• Familiarity with advanced machine learning workflows and their unique data challenges.

• Contributions to open-source data engineering tools or frameworks.

• Data lakes and modern storage formats (Delta Lake, Iceberg, Snowflake)

Why Join Us?

At Cyera, we own what we build and how we work. Cyerans are empowered to take initiative, move quickly, and turn ideas into impact.

We push boundaries by challenging the status quo, learning fast, and continuously raising the bar — for ourselves and for the industry.

We elevate together by lifting each other up, celebrating wins as a team, and recognizing that our success is shared.

Feel free to apply even if your experience doesn’t tick every box.

We’re building something special here — and we welcome Cyerans with diverse backgrounds, perspectives, and experiences.

Skills Required

  • 5+ years software engineering experience, with 2+ years focused on data engineering
  • Proven experience designing and optimizing data pipelines, data warehouses, and big data solutions
  • Strong proficiency in advanced SQL, complex analytical queries, query performance tuning, indexing and partitioning strategies
  • Experience with relational and NoSQL databases
  • Experience with large-scale queue systems (Kafka, SQS, etc.)
  • Experience working with distributed processing engines
  • Strong background in distributed systems and event-driven architectures
  • Experience with cloud-native infrastructure and high-scale systems (AWS, GCP, or Azure)
  • Practical experience deploying and operating services in Kubernetes-based environments
  • Ability to operate and optimize large-scale historical backfills and migrations
  • Experience developing automated monitoring and validation systems for pipelines
  • Experience with additional data processing frameworks beyond the core stack
  • Background in cybersecurity-related data infrastructure projects
  • Familiarity with advanced machine learning workflows and their data challenges
  • Contributions to open-source data engineering tools or frameworks
  • Experience with data lakes and modern storage formats (Delta Lake, Iceberg, Snowflake)

Cyera Compensation & Benefits Highlights

The following summarizes recurring compensation and benefits themes identified from responses generated by popular LLMs to common candidate questions about Cyera and has not been reviewed or approved by Cyera.

  • Fair & Transparent Compensation Pay is considered competitive across roles, with posted salary bands and strong base/OTE signals in key functions. Visible ranges and attractive totals in senior engineering and sales reinforce a compelling cash foundation.
  • Equity Value & Accessibility Equity via RSUs/options is positioned as a meaningful part of total rewards with notable upside potential. An employee tender offer program enables liquidity on vested shares, improving practical access to equity value.
  • Wellbeing & Lifestyle Benefits Perks span meal stipends, stocked kitchens, commuting support, wellness programs, and remote office reimbursements. Additional supports like learning stipends and flexible workspace memberships add everyday utility.

Cyera Insights

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The Company
HQ: New York, New York
1,200 Employees
Year Founded: 2021

What We Do

Our platform gives organizations a complete view of where their data lives, how it’s used, and how to keep it safe, so they can reduce risk and unlock the full value of their data, wherever it is. Backed by more than $1.7 billion in funding from top-tier investors including Accel, Blackstone, Coatue, Cyberstarts, Georgian, Lightspeed, and Sequoia, Cyera’s unified data security platform helps businesses discover, secure, and leverage their most valuable asset - data - and eliminate blind spots, cut alert noise, and protect sensitive information across the cloud, SaaS, databases, AI ecosystems, and on-premise environments.

Why Work With Us

Cyera's culture focuses on growth - for our employees, for our customers, and for our business. Our team is a collaborative, empowering group of innovators looking to make a lasting impact. We offer flexible work options, an unlimited vacation policy, and are dedicated to making our team successful.

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