Remote Big Data Engineer - Scale & Pipelines Expert

Appsierra Group; American Samoa; On-site; USD 62,000 - 166,000; Full time

Job summary

Appsierra Group is seeking a Big Data Engineer for a contract, fully remote position. The role focuses on building and maintaining large-scale data pipelines and processing systems using Python, Hadoop/Spark/Flink, and cloud platforms.

The engineer will design data architectures, ensure data quality and governance, and collaborate with global teams to deliver scalable data solutions. Remote work enables independent, proactive problem-solving in distributed environments.

Qualifications

• Proven hands-on experience in big data engineering and large-scale pipelines.
• Advanced proficiency in Python for data processing, automation, and system integration.
• Strong understanding of relational and NoSQL databases, including design and admin.

Responsibilities

• Design, build, and maintain scalable data pipelines and architectures for large-scale data environments.
• Translate business and technical requirements into reliable data engineering solutions.
• Develop data integration, transformation, and processing workflows using Python and big data tech.
• Build, manage, and optimize distributed databases and storage systems for performance and reliability.
• Monitor data infrastructure, troubleshoot failures, and improve system availability and performance.
• Implement data quality, security, and governance practices across pipelines and platforms.
• Apply data modeling, ETL, and data warehousing principles to support reliable data systems.
• Collaborate with stakeholders to understand requirements and communicate decisions.
• Document architectures, processes, and operational procedures clearly.

Skills

Python

Relational databases

NoSQL databases

Hadoop

Spark

Flink

ETL

Data warehousing

Data modeling

Troubleshooting

Communication

Remote work

Tools

AWS

Google Cloud

Microsoft Azure

Job description

Appsierra Group is seeking a Big Data Engineer for a contract, fully remote position. The role focuses on building and maintaining large-scale data pipelines and processing systems using Python, Hadoop/Spark/Flink, and cloud platforms.

The engineer will design data architectures, ensure data quality and governance, and collaborate with global teams to deliver scalable data solutions. Remote work enables independent, proactive problem-solving in distributed environments.