Data Engineer | $30-$80/hr
Summary
Codefeast is hiring remote contractor Big Data Engineers (3–8 years experience) at $30–$80/hour to build and optimize large-scale data pipelines, distributed databases/storage, and ETL/data-warehousing solutions supporting an AI training project, using Python, Hadoop/Spark/Flink, and SQL/NoSQL databases.
Big Data Engineer – AI Training & Data Engineering
Experience: 3–8 Years
Job Type: Contractor
Location: Remote
Compensation: $30–$80/hour
Domain: Big Data | Data Engineering | AI Training
Role Overview
We are looking for experienced Big Data Engineers to contribute to an AI training project. The role involves building and optimizing large-scale data pipelines, distributed data systems, and data-processing solutions that support next-generation AI systems.
Key Responsibilities
- Design and maintain scalable big data pipelines and architectures.
- Build data processing, integration, and transformation solutions using Python.
- Develop and optimize distributed databases and storage systems.
- Work with large-scale ETL and data warehousing processes.
- Monitor and troubleshoot data systems for performance and reliability.
- Maintain strong standards for data quality, security, and governance.
- Collaborate with technical teams and clearly document solutions.
Key Requirements
- 3–8 years of relevant Big Data/Data Engineering experience.
- Strong proficiency in Python.
- Hands-on experience with Hadoop, Spark, Flink, or similar distributed frameworks.
- Strong knowledge of SQL/NoSQL databases.
- Experience with ETL, data modeling, and data warehousing.
- Strong analytical, troubleshooting, and communication skills.
- Comfortable working independently in a remote environment.
Application Process
- Submit application & screening questions.
- Complete a ~30-minute AI Interview.
- Hiring Manager Review.
- Selected candidates proceed to onboarding.