Data Engineer / Senior Data Engineer (AI/ML) (Remote - US) - job 1 of 2

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.

• Competitive base salary: $60,000 – $160,000 USD, with potential bonus and commission.
• Medical, Dental, and Vision Coverage
• Holiday and Vacation Time
• Health & Wellness Days
• Birthday Bonus Day
• Flexible Remote and Hybrid Work Options
• Opportunities for Professional Growth and Learning
• Inclusive and Supportive Workplace Culture

Jobgether is a Talent Matching Platform that partners with companies worldwide to efficiently connect top talent with the right opportunities through AI-driven job matching.

When you apply, your profile goes through our AI-powered screening process designed to identify top talent efficiently and fairly.
🔍 Our AI evaluates your CV and LinkedIn profile thoroughly, analyzing your skills, experience, and achievements.
📊 It compares your profile to the job’s core requirements and past success factors to determine your match score.
🎯 Based on this analysis, we automatically shortlist the 3 candidates with the highest match to the role.
🧠 When necessary, our human team may perform an additional manual review to ensure no strong profile is missed.

The process is transparent, skills-based, and free of bias — focusing solely on your fit for the role. Once the shortlist is completed, we share it directly with the company that owns the job opening. The final decision and next steps (such as interviews or additional assessments) are then made by their internal hiring team.

Thank you for your interest!

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