Sr. Data Platform Engineer

📋 Description

• Build and optimize data pipelines: Design, implement, and maintain scalable batch and streaming
• Develop data processing systems: Build extensible data infrastructure that supports the addition
• Process and model complex datasets: Extract, analyze, transform, and model structured and
• Ensure production reliability: Develop and maintain data pipelines with strong reliability
• Apply strong software engineering practices: Design testable, maintainable, and reusable software
• Contribute to data strategy: Help shape the data platform's technical direction, architecture, and

🎯 Requirements

• Professional experience: At least 4 years of experience in Data Engineering and at least 4 years of
• Production data engineering: Demonstrated experience building, maintaining, and operating
• Core data engineering knowledge: Solid understanding of ETL/ELT processes, batch and streaming
• Python and data processing: Strong Python programming skills and familiarity with libraries and
• Software engineering fundamentals: Strong knowledge of the software development lifecycle (SDLC)
• Infrastructure as code: Familiarity with infrastructure-as-code principles and tools for managing

🎁 Benefits

• Competitive salary: Starting at $170,000 USD per year, with the potential for a higher offer based
• Equity participation: Equity in a well-funded, fast-growing technology company.
• Flexible time off: Unlimited vacation time, allowing employees to take time off as needed.
• Healthcare coverage: 99% of health, dental, and vision insurance premiums covered for employees and
• Retirement savings: Access to a 401(k) plan through Empower, with investment options.
• Remote work: Fully remote position within the United States.