Big Data Engineer Remote
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.