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Senior Analytics Engineer
- New York, New York, United States
- New York, New York, United States
Über
THE OPPORTUNITY 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.
RESPONSIBILITIES
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.
REQUIRED QUALIFICATIONS
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.
COMPENSATION INFORMATION Compensation Range: $160,000-$200,000.
The range represents total compensation, and may include incentive for sales roles, equity or benefits, as applicable.
This compensation range represents Cyera’s good faith and reasonable estimate of the range of possible compensation for this role at the time of posting, and Cyera may ultimately pay more or less than the posted range. The final salary for this position will be determined in Cyera’s sole discretion, consistent with applicable law, and based on a variety of factors, including but not limited to the employee’s work experience, skills, and qualifications for the role, as well as the needs of Cyera’s business and other operational considerations.
Final compensation will vary based on seniority and relevance of experience, location, and position requirements.
This role may be eligible for potential merit increases based on factors such as individual or company performance, time in role, and other discretionary factors.
BENEFITS - Why Cyera?
Ability to work remotely, with office setup reimbursement
Unlimited PTO
Paid holidays and sick time
Health, vision, and dental insurance
Life, short and long-term disability insurance
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Sprachkenntnisse
- English
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