Senior Analytics Engineer, Cyera

$160-180k

SQL

AWS

GCP

Python

Tableau

Looker

Airflow

Azure

Redshift

Spark

Snowflake

BigQuery

dbt

Senior and Expert level

New York

Office located in NY Metro (US)

Cloud-native data security platform

Open for applications

Cloud-native data security platform

1001+ employees

B2BSecurityCyber SecurityCloud Computing

Open for applications

$160-180k

SQL

AWS

GCP

Python

Tableau

Looker

Airflow

Azure

Redshift

Spark

Snowflake

BigQuery

dbt

Senior and Expert level

New York

Office located in NY Metro (US)

1001+ employees

B2BSecurityCyber SecurityCloud Computing

Company mission

To build the world's most intelligent data security platform to enable businesses to safely harness the power of data so they can unlock new innovations, make smarter decisions, and maximize growth.

Job

Company

Role

Who you are

5+ years of experience as a data/analytics engineer, with at least 2+ years in a senior role
Expert in SQL, Python, or R for data analysis and transformation
Proficient in data modeling and database design (e.g., Snowflake, Redshift, BigQuery)
Deep experience with ETL/ELT tools (e.g., dbt, Airflow, Apache Spark) and cloud data platforms (AWS, GCP, or Azure)
Strong understanding of data warehousing concepts, architecture, and technologies
Experience with modern BI tools (e.g., Looker, Tableau, PowerBI)
Familiarity with data versioning, CI/CD, and DevOps practices for analytics engineering
A strong background or understanding of data security principles, encryption, and compliance standards (e.g., GDPR, CCPA)
Proven ability to handle complex datasets, troubleshoot issues, and find innovative solutions
Strong written and verbal communication skills with the ability to convey technical information to non-technical stakeholders

What the job involves

As a Sr. Analytics Engineer, you will drive the architecture, development, and optimization of our analytics infrastructure
You’ll work closely with cross-functional teams (data science, engineering, security, and product) to ensure that the company leverages data insights effectively to drive business decisions, enhance product security, and support our growth
Your primary responsibility will be to design and implement data models, pipelines, and analytics frameworks that empower internal and external stakeholders with secure, accurate, and actionable data insights
Architect, build, and maintain robust, scalable data pipelines and analytics infrastructure that supports real-time data insights and reporting
Design efficient and secure data models and warehouses that facilitate optimized querying, reporting, and analytics workflows
Implement, maintain, and optimize ETL/ELT processes that handle the ingestion, transformation, and loading of large, complex datasets, ensuring data quality and security at every step
Collaborate with data scientists, security engineers, and product managers to gather requirements, prioritize projects, and build analytics solutions that directly contribute to business objectives
Ensure that all data-related processes meet the highest standards of security, privacy, and compliance (GDPR, CCPA, etc.). Work closely with the security team to design secure analytics environments
Continuously monitor and optimize data infrastructure performance for scalability, efficiency, and reliability
Develop data visualizations, dashboards, and reporting systems that enable stakeholders to easily access key insights and metrics
Automate routine tasks and processes, leveraging modern data tools and frameworks to improve team efficiency

Our take

With the allure of agility and globalization, companies are shifting to the cloud in record numbers. But in an environment of worsening cyber-threat, data protection must shift with them. Cyera responds to the lack of cloud-based, data-conscious security support for companies.

Previously, discovering and securing data in the cloud was written off for being tedious and challenging. Using advances in data science, Cyera has built a data reality platform which provides a complete picture across all cloud-based data repositories. It enables instant, automatic data reality, and is set to define how companies do cloud data security.

The quick and clear picture provided by Cyera’s platform has gained it rapid traction among Fortune 500 companies. It has also raised considerable funding that has supported continued improvements to the functionality of the platform. More recently, Cyera has been on an acquisition spree, rapidly expanding both its workforce and operations. These acquired companies include Trail Security, Otterize and Shape AI.

Steph

Company Specialist at Welcome to the Jungle

Insights

Top investors

77% employee growth in 12 months

Glassdoor (4.4)

Company

Funding (last 2 of 7 rounds)

Dec 2025

$400m

SERIES F

May 2025

$500m

LATE VC

Total funding: $1.7bn

Company HQ

Garment District, New York, NY

Leadership

Yotam Segev

(Co-Founder & CEO)

Spent six months as Senior Director of Cyber Projects at KayHut. Former Head of Cyber Department with Israeli Military Intelligence - Unit 8200.

Tamar Bar-Ilan

(Co-Founder & CTO)

Spent nine months as Chief Architect at Lynxight. Former Head Of R&D Department with Israeli Military Intelligence - Unit 8200.

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