Data Engineer $100,000–$150,000/year (Remote)

$100,000–$150,000/year + Benefits | Remote (Worldwide) | Full-time | 1 opening

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Overview:

We're seeking a talented Data Engineer to build and scale modern data infrastructure that powers AI-driven products and research initiatives. You'll develop high-performance data pipelines, manage large-scale cloud datasets, and help create reliable data systems that enable AI innovation.

 

If you enjoy solving complex data engineering challenges and working with cloud technologies, this opportunity is for you.

 

Responsibilities:

• Design and maintain scalable data pipelines.
• Build distributed data processing workflows using Apache Spark.
• Develop data architectures on AWS.
• Write efficient Python and SQL code.
• Manage SQL and NoSQL databases.
• Ensure data quality, reliability, and monitoring.
• Collaborate with AI researchers, data scientists, and engineering teams.
• Automate data workflows and orchestration processes.

 

Requirements:

• Strong Python programming skills.
• Advanced SQL knowledge.
• Experience with Apache Spark.
• Hands-on AWS experience.
• SQL and NoSQL database expertise.
• Experience with distributed data systems.
• Strong analytical and problem-solving skills.

 

Preferred Qualifications:

• AI/ML workflow experience.
• Knowledge of LLM datasets and AI pipelines.
• Experience with data visualization tools.
• Cloud-native data architecture expertise.

 

Benefits:

• $100K–$150K Annual Salary
• Equity Opportunities
• Performance Bonus
• Remote Work
• Health Insurance
• Paid Time Off
• 401(k) Benefits
• Work on Cutting-Edge AI Projects

 

Hiring Process:

 

1. Submit your application.
2. Complete the interview process.
3. Hiring Manager Review.
4. Final Selection.
5. Remote onboarding.

 

Why Join Us?

 

Join an innovative engineering team building the data foundation behind next-generation AI systems while working remotely with modern technologies and excellent benefits.

 

Apply Now: