Senior Analytics Engineer
About The Position
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.
Requirements
- 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.
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.
Benefits
- 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
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What This Job Offers
Job Type
Full-time
Career Level
Senior
Education Level
No Education Listed
Number of Employees
501-1,000 employees
