Data Engineer / Senior Data Engineer (GCP / AI)

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.

• Comprehensive Medical, Dental, and Vision Coverage
• Holiday, Vacation, and Health & Wellness Days
• Birthday Bonus Day
• Flexible Remote and In-Office Collaboration
• Professional Growth and Learning Opportunities
• Supportive, Inclusive, and Diverse 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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