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Data Engineer / Senior Data Engineer (AI/ML) (Remote - US) 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 (AI/ML). in the . United States. .. This role offers the opportunity to design, build, and optimize cloud-based data solutions that power AI, ML, and LLM initiatives across large-scale business operations. The Data Engineer will collaborate closely with data architects, scientists, software engineers, and product teams to develop scalable data pipelines, maintain high-quality data infrastructure, and support AI/ML workflows. Candidates will operate in a fast-paced, agile environment, focusing on cloud-native solutions, automation, and efficient data management practices. This position is ideal for professionals passionate about modern data engineering, solving complex technical challenges, and contributing to the advancement of AI-driven projects.. . Accountabilities. The Data Engineer / Senior Data Engineer will:. . Implement and maintain scalable data pipelines to support AI/ML and LLM workflows, including data labeling, classification, and document parsing.. . Collaborate with data scientists and labeling teams to ensure reliable access to structured and unstructured data.. . Manage and optimize data storage, partitioning, and clustering strategies to maximize performance and reliability.. . Develop SQL, Python, or Scala-based features and ETL processes to support cloud-based data warehousing.. . Ensure data integrity and quality by implementing robust validation and error-handling mechanisms.. . Document processes, support design discussions, and advocate for best practices across the team.. . Identify and implement improvements across the full lifecycle of data management, from ingestion to reporting layers.. . . Senior-level team members additionally:. provide code review feedback, guide complex technical problem-solving, assess solution risks and scalability, and support continuous improvement of internal processes and documentation.. . Candidates should possess:. . . Data Engineer:. 4+ years of experience in cloud-based data engineering, including modeling, building, and maintaining data solutions.. . . Senior Data Engineer:. 7+ years of experience in cloud-based data engineering, with advanced proficiency in AI/ML and LLM workflows.. . Strong skills in SQL, Python, and optionally Scala, with the ability to manipulate, store, and manage large datasets.. . Experience with Infrastructure-as-Code (IaC) and cloud-native platforms such as BigQuery, Spark, Pub/Sub, and Object Storage.. . Knowledge of data modeling, data warehousing, and big data architecture principles.. . Familiarity with Agile frameworks (Scrum) and tools such as Jira and Confluence.. . Proven ability to communicate effectively with global teams to clarify requirements, confirm priorities, and deliver solutions on schedule.. . Analytical, detail-oriented mindset with strong problem-solving skills.. . Bachelor’s or Master’s degree in Computer Science, MIS, CIS, or equivalent experience.. . Military experience and military spouses are encouraged to apply.. . . Company Location: United States.