Data Engineer / Senior Data Engineer - Remote

Overview

This position is posted by Jobgether on behalf of a partner company. We are currently looking for a Data Engineer / Senior Data Engineer in the United States.

This role offers the opportunity to design, build, and optimize cloud-based data solutions that power AI and data-driven initiatives across large-scale business operations. The Data Engineer will work closely with data architects, scientists, and software engineers to ensure efficient, reliable, and secure access to structured and unstructured datasets. Responsibilities include developing scalable data pipelines, implementing robust ETL processes, and optimizing cloud data platforms. Candidates will operate in a collaborative, agile environment, helping drive technical excellence while continuously improving data architecture and workflow automation. This role is ideal for individuals passionate about modern data engineering and supporting AI/ML workflows in a fast-paced, global setting.

In Short

• Build, maintain, and optimize scalable data models and pipelines in cloud-based environments.
• Focus on BigQuery and other data warehousing technologies.
• Implement and manage data storage, partitioning, and clustering strategies.
• Collaborate with cross-functional teams to deliver solutions aligned with business objectives.
• Develop, maintain, and document SQL, Python, and ETL processes.
• Ensure data quality and integrity through validation and error-handling mechanisms.
• Identify opportunities to improve data management processes.
• Provide technical guidance and participate in code reviews for senior-level team members.

Requirements

• Experience in data engineering and cloud-based solutions.
• Proficiency in SQL and Python.
• Knowledge of ETL processes and data warehousing technologies.
• Ability to work collaboratively in an agile environment.
• Strong problem-solving skills and attention to detail.

Benefits

• Opportunity to work on cutting-edge data solutions.
• Collaborative and innovative work environment.
• Support for professional development and growth.