Data Engineer

$4–$5 per hour* | Remote | Full-Time | 1 opening

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*Note: The source information also references a separate compensation package. Please verify the applicable salary before publishing.

 

Overview:

 

Our client is seeking a skilled Data Engineer to join a remote team building scalable data solutions that support analytics, research, and AI/ML initiatives.

 

In this role, you'll design and maintain robust data pipelines, transform raw data into high-quality datasets, and collaborate with researchers and engineers to power next-generation AI systems. This is an excellent opportunity for professionals passionate about data engineering, automation, and machine learning technologies.

 

Responsibilities:
 

• Design, develop, and maintain scalable ETL pipelines.
• Collect, clean, transform, and organize structured and unstructured data.
• Perform exploratory data analysis to identify trends, anomalies, and data quality issues.
• Collaborate with data scientists, researchers, and engineering teams to prepare AI-ready datasets.
• Develop and maintain database schemas, data models, and storage solutions.
• Write, optimize, and maintain SQL queries for efficient data processing.
• Ensure data quality, integrity, consistency, and security.
• Automate recurring data processing, reporting, and validation workflows.
• Document data pipelines, technical decisions, and operational processes.
• Troubleshoot and resolve pipeline and database issues.

 

Requirements:

 

• Strong proficiency in Python and SQL.
• Hands-on experience building and maintaining ETL pipelines.
• Experience performing exploratory data analysis.
• Strong knowledge of Pandas and NumPy.
• Experience with relational databases such as PostgreSQL and MySQL.
• Solid understanding of data modeling and database design.
• Experience working with structured and unstructured datasets.
• Strong attention to data quality and accuracy.
• Familiarity with development environments such as Jupyter Notebook, VS Code, or PyCharm.
• Excellent analytical, problem-solving, and communication skills.

 

Preferred Qualifications:

 

• Exposure to AI and Machine Learning workflows.
• Experience with scikit-learn.
• Familiarity with Hugging Face Transformers.
• Experience using the OpenAI API or similar AI platforms.
• Experience preparing datasets for AI/ML model training.
• Previous collaboration with researchers or data science teams.

 

Benefits:

 

• Fully remote full-time opportunity.
• Work on innovative AI and machine learning projects.
• Collaborate with experienced engineers and data scientists.
• Professional growth and continuous learning opportunities.
• Flexible remote work environment.
• Opportunity to contribute to advanced AI technologies.
• Challenging projects with real-world impact.

 

Hiring Process:

 

Step 1: Submit your application.

Step 2: Complete the screening questions.

Step 3: Participate in an AI interview and technical assessment.

Step 4: Hiring manager review.

Step 5: Final selection and onboarding.

 

Why Join Us?

 

If you're passionate about data engineering, automation, and AI-driven innovation, this opportunity offers the chance to build scalable data solutions that power cutting-edge technologies. You'll work alongside talented professionals on meaningful projects while enjoying the flexibility of a fully remote environment.

 

Apply Now:

 

Ready to use your cloud engineering expertise to help build the future of AI?

 

Apply today and join a remote team solving real-world cloud infrastructure challenges.