Senior Data Engineer

This is a fully remote position, open to applicants in United States.

📋 Description

• Create and implement scalable, secure, and high-performance data solutions within a multi-cloud environment.

• Establish and uphold data engineering standards, best practices, and architectural frameworks.

• Collaborate with a dynamic team to assess and integrate new technologies.

• Propel platform advancement by recognizing opportunities for AI-driven automation and executing solutions.

• Supervise the design, development, and optimization of a cohesive data platform across various cloud environments.

• Oversee the creation and upkeep of data models and schema designs.

• Enhance data processing workflows to ensure performance, scalability, and reliability.

• Serve as a subject matter expert for both internal stakeholders and clients.

⛳️ Requirements

• A minimum of 4 years of experience in data engineering.

• Demonstrated proficiency in AWS, Azure, Snowflake, dbt, and Python.

• A solid foundation in data warehouse architecture, data modeling, and performance optimization.

• Expertise in SQL, dbt, and Python for data transformation and orchestration.

• Familiarity with cloud-native architecture, DevOps methodologies, and CI/CD pipelines in Azure, AWS, and GitHub.

• Exceptional communication and teamwork abilities.

🏝️ Benefits

• Competitive compensation.

• Remote-first work environment.

• Opportunity to work from anywhere in the US.

• One-time home office stipend to establish your workspace.

• Monthly reimbursement for Wi-Fi expenses.

• Flexible scheduling with core collaboration hours from 10:00 AM to 3:00 PM ET.

• Company-wide annual offsite events.

• Flexible paid time off designed for genuine relaxation.

• 17 company holidays.

• Paid sick leave.

• Paid parental leave.

• Comprehensive health insurance options available.