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Data Engineer / Senior Data Engineer (GCP / AI) at Jobgether. This position is posted by Jobgether on behalf of a partner company. We are currently looking for a . Data Engineer / Senior Data Engineer (GCP / AI). in the . United States. .. This role provides an exciting opportunity to design, implement, and optimize scalable data solutions that power AI, ML, and LLM workflows within a dynamic business environment. The Data Engineer will collaborate closely with data scientists, software engineers, and product teams to ensure high-quality data pipelines, architecture, and governance. The position involves building and maintaining cloud-based data infrastructure, managing structured and unstructured data, and optimizing storage and processing strategies to support advanced analytics. This role encourages innovation, cross-functional collaboration, and continuous improvement in a culture focused on technical excellence and impactful results. Candidates can work remotely or from an office location.. . Accountabilities. The Data Engineer / Senior Data Engineer will:. . Implement and maintain scalable data pipelines to support AI/ML/LLM workflows, including data labeling, classification, and document parsing.. . Collaborate with data scientists, labeling teams, and software engineers to ensure reliable access to structured and unstructured data sources.. . Optimize data storage, partitioning, and clustering strategies to maintain high performance and reliability.. . Develop, test, and enhance features using SQL, Python, and cloud-based data warehousing technologies.. . Ensure data integrity, quality, and adherence to data governance standards through validation and error-handling mechanisms.. . Document solutions, workflows, and processes to support internal team collaboration and knowledge sharing.. . Identify and implement improvements across the full data lifecycle, including ingestion, ETL processes, and data expiration layers.. . At the Senior level: provide guidance and mentorship, assess technical risks, contribute to architecture decisions, and champion continuous process improvement. Candidates should possess:. . 4+ years of cloud-based experience (Data Engineer) or 7+ years (Senior Data Engineer) in building and maintaining data solutions.. . Practical experience supporting AI/ML and LLM workflows with cloud-based pipelines and data infrastructure.. . Proficiency in Python (or Scala) and SQL for high-performance, maintainable, and scalable codebases.. . Experience with Infrastructure-as-Code (IaC) and cloud-native data solutions such as BigQuery, Spark, Pub/Sub, and Object Storage.. . Strong understanding of data modeling, data warehousing, and big data architecture.. . Familiarity with Agile frameworks (Scrum) and collaboration tools such as Jira and Confluence.. . Excellent analytical, problem-solving, and communication skills for cross-functional collaboration.. . Bachelor’s or Master’s degree in Computer Science, MIS, CIS, or equivalent experience.. . Ability to work remotely or from an office location; flexibility to collaborate with global teams.. . . Company Location: United States.