Data Engineer

About This Opportunity

We are representing a confidential AI technology organization seeking a talented Data Engineer to join their remote team. This is an opportunity to build and scale data infrastructure that powers cutting-edge AI-driven products and research initiatives. You'll work with distributed systems, large-scale datasets, and cloud environments while collaborating with AI researchers and data scientists.

Responsibilities

• Design, build, and maintain scalable data pipelines to ingest, process, and transform large-scale datasets from multiple sources
• Develop and optimize distributed data processing workflows using Spark and cloud-native technologies
• Build and maintain data storage solutions across SQL and NoSQL systems, ensuring scalability, performance, and reliability
• Design and implement data architectures on AWS to support high-volume data ingestion, processing, and distribution
• Write efficient Python and SQL code to extract, transform, validate, and analyze large datasets
• Ensure data quality, integrity, monitoring, and operational reliability across data pipelines and storage layers
• Collaborate with AI researchers, data scientists, and engineering teams to support data-intensive applications and experimentation
• Implement automation, orchestration, and monitoring workflows to support scalable and efficient data operations

What We're Looking For

Required Skills and Experience:

• Strong proficiency in Python, SQL, and distributed data processing frameworks such as Apache Spark
• Hands-on experience with AWS data services and cloud-native data architectures
• Experience working with both SQL and NoSQL databases
• Experience managing and processing large-scale datasets in distributed environments
• Strong understanding of data partitioning, performance optimization, and scalable data architectures

Nice to Have:

• Exposure to AI/ML workflows or research environments
• Experience with data visualization tools such as Matplotlib, Seaborn, or Plotly
• Familiarity with LLM-related data workflows (datasets for training, evaluation, or prompt experimentation)

How We Work With You

When you apply through Get A Job.ai, our experienced talent team will review your profile and conduct an initial screening. If there's a strong match, we'll submit your candidacy to our client for consideration. Please do not attempt to contact the client directly, as all communications are managed through our recruiting team to ensure a professional and coordinated process.

Pay

Pay via Get A Job.ai for this full-time, remote position is $100,000–$150,000 USD base salary. The client also offers equity compensation, performance-based bonuses (role dependent), comprehensive health insurance benefits, paid time off, and 401(K) with company match.

Location: United States (Remote)

Employment Type: Full-time

Equal Employment Opportunity: Get A Job.ai is an equal opportunity employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, age, disability, genetic information, veteran status, or any other characteristic protected by law.