Big Data Engineer, Remote - Contract

Job Title: Big Data Engineer

Job Type: Contract

Location: Remote

Job Summary: In this role, you'll 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.

Required Skills

• big data

• Python

• databases

• data engineering

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.