Cyera Logo

Cyera

Senior Analytics Engineer

Reposted 6 Days Ago
In-Office or Remote
Hiring Remotely in Metro Park, TN
140K-175K Annually
Senior level
In-Office or Remote
Hiring Remotely in Metro Park, TN
140K-175K Annually
Senior level
The Senior Analytics Engineer will architect, develop, and optimize analytics infrastructure, ensuring data insights drive business decisions while maintaining security standards.
The summary above was generated by AI

WHO WE ARE

Come join the company reinventing data security, empowering businesses to realize the full potential of their data. As the leading data security platform purpose-built for the cloud era, Cyera’s mission is to reinvent how businesses secure data, enable agile collaboration, and boldly pursue new business opportunities. Trusted by security teams at leading global businesses, our team is proving that data security is the next big thing in cyber. 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 security.

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: $140,000-$175,000. The range represents base salary only, and does not include company bonus, 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
  • Competitive salary
  • Unlimited PTO
  • Paid holidays and sick time
  • Health, vision, and dental insurance
  • Life, short and long-term disability insurance

Top Skills

Airflow
Spark
AWS
Azure
BigQuery
Dbt
GCP
Looker
Power BI
Python
R
Redshift
Snowflake
SQL
Tableau

Similar Jobs

2 Days Ago
Easy Apply
Remote
USA
Easy Apply
180K-212K Annually
Senior level
180K-212K Annually
Senior level
Artificial Intelligence • Blockchain • Fintech • Financial Services • Cryptocurrency • NFT • Web3
The Senior Analytics Engineer role involves designing data models, optimizing data pipelines, collaborating with teams, and translating business requirements into actionable insights, driving commercial value from data.
Top Skills: AirflowDatabricksDbtGitLookerPythonSnowflakeSQLTableau
4 Days Ago
Easy Apply
Remote
United States
Easy Apply
164K-226K Annually
Senior level
164K-226K Annually
Senior level
Artificial Intelligence • Fintech • Machine Learning • Social Impact • Software
The Senior Analytics Engineer will design scalable data models, collaborate with teams to create analytics pipelines, and implement data governance best practices.
Top Skills: AirflowAWSAzureBigQueryDatabricksDbtETLGCPLookerLookmlModePower BIPythonRedshiftSQLTableau
Yesterday
Remote
United States
145K-170K Annually
Senior level
145K-170K Annually
Senior level
Fintech • Financial Services
The Senior Analytics Engineer will design and maintain data models, build data pipelines, and optimize data infrastructure while collaborating with teams like Data Engineering and Data Science to support business intelligence and advanced analytics.
Top Skills: CensusDbtFivetranPythonSnowflakeSQLTableau

What you need to know about the Colorado Tech Scene

With a business-friendly climate and research universities like CU Boulder and Colorado State, Colorado has made a name for itself as a startup ecosystem. The state boasts a skilled workforce and high quality of life thanks to its affordable housing, vibrant cultural scene and unparalleled opportunities for outdoor recreation. Colorado is also home to the National Renewable Energy Laboratory, helping cement its status as a hub for renewable energy innovation.

Key Facts About Colorado Tech

  • Number of Tech Workers: 260,000; 8.5% of overall workforce (2024 CompTIA survey)
  • Major Tech Employers: Lockheed Martin, Century Link, Comcast, BAE Systems, Level 3
  • Key Industries: Software, artificial intelligence, aerospace, e-commerce, fintech, healthtech
  • Funding Landscape: $4.9 billion in VC funding in 2024 (Pitchbook)
  • Notable Investors: Access Venture Partners, Ridgeline Ventures, Techstars, Blackhorn Ventures
  • Research Centers and Universities: Colorado School of Mines, University of Colorado Boulder, University of Denver, Colorado State University, Mesa Laboratory, Space Science Institute, National Center for Atmospheric Research, National Renewable Energy Laboratory, Gottlieb Institute

Sign up now Access later

Create Free Account

Please log in or sign up to report this job.

Create Free Account