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Big Data Engineer Remote

YO AI Labs


Job Location:

New York City, NY - USA

Hourly Salary: $ 50 - 80
Posted: 17 September 2026 (9 hours ago)
Application Deadline: 15 December 2026
Vacancies: 1 Vacancy

Job Summary

Job Title: Big Data Engineer

Job Type: Contractor

Location: Remote

Job Summary: In this role youll apply your expertise to help train next-generation AI systems. Your work will shape how models learn reason and perform through high-quality real-world input.

Key Responsibilities:

  • Design build and maintain scalable big data pipelines and architectures to support robust data solutions.
  • Collaborate with cross-functional teams to understand and deliver on data requirements and business objectives.
  • Implement data integration transformation and processing solutions using Python and relevant big data technologies.
  • Develop manage and optimize distributed databases and storage systems for efficiency and reliability.
  • Monitor troubleshoot and enhance data systems to ensure high availability and performance.
  • Enforce data quality security and governance standards across all solutions.
  • Document solutions and communicate complex technical concepts effectively both in writing and verbally.

Required Skills and Qualifications:

  • Proven expertise in big data engineering with hands-on experience building and maintaining large-scale data pipelines.
  • Advanced proficiency in Python for data processing automation and integration.
  • Deep understanding of relational and NoSQL databases including optimization and management techniques.
  • Experience with distributed data processing frameworks (e.g. Hadoop Spark Flink).
  • Strong foundation in data modeling ETL processes and data warehousing principles.
  • Excellent written and verbal communication skills with the ability to convey technical ideas clearly to both technical and non-technical stakeholders.
  • Detail-oriented proactive and self-motivated thriving in remote and autonomous work environments.

Preferred Qualifications:

  • Prior experience in fast-paced or startup-like environments supporting global teams.
  • Expertise with cloud-based big data platforms (e.g. AWS GCP Azure).
  • Familiarity with machine learning operations and data science workflows is a plus.