Data Engineering Specialist – AI
- Source: LinkedIn
- TalentHop
- Remote
- United States
- Full-Time
- Senior
Job Description
This is a Fully Remote Job
About Our Client:
The organization operates in technology consulting and software development, delivering cloud, artificial intelligence, data, and enterprise solutions across the United States. It focuses on addressing complex data and AI infrastructure challenges at scale.
About the Opportunity:
The DATA ENGINEERING SPECIALIST – AI is responsible for building and operating large-scale data systems that support modern AI training and evaluation pipelines. This role combines expertise in data engineering with an understanding of AI workloads to ensure high-quality, efficient data delivery to training jobs. The position significantly contributes to the organization’s ability to support advanced AI model development.
Responsibilities:
- Build and operate petabyte-scale data ingestion, transformation, and delivery systems
- Ensure data quality, lineage, and high-throughput delivery for AI training workloads
- Support diverse data modalities and AI evaluation pipelines
- Collaborate on data infrastructure choices impacting model quality and training efficiency
Requirements:
- Minimum 6 years of data engineering experience, including support for ML or AI workloads
- Proficiency in Python and at least one JVM or systems programming language
- Experience with data processing frameworks such as Spark, Ray, or Beam
- Hands-on experience with large-scale storage and pipeline systems
Pay Range and Compensation Package:
- Salary range of $100,000 to $150,000 annually
Benefits & Perks:
None listed.
Equal Opportunity Statement: Our client is an equal opportunity employer. They celebrate diversity and are committed to creating an inclusive environment for all employees. All qualified applicants will receive consideration for employment without regard to race, color, religion, gender, gender identity or expression, sexual orientation, or national origin.
Note:
TalentHop is a recruitment partner of this role. Please note that all employment decisions, including candidate assessment, interviews, hiring, compensation, and employment terms, are made exclusively by the hiring employer.
Skills
- Python
- Spark
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