Jobgether

Data Engineering Specialist – AI

Sponsorship not specified$100k-$150kDetected 1 day ago

PythonDistributed SystemsCode ReviewCI/CDMachine LearningSparkData EngineeringComplianceResearchCommunicationCollaborationProblem Solving

About the role

The position combines deep data engineering expertise with an understanding of machine learning workflows and large-scale distributed systems.
You will work closely with AI researchers and engineering teams to improve data quality, efficiency, and reliability.

This position is listed on behalf of a partner company, who manages all applications and next steps.
Our partner is looking for a Data Engineering Specialist - AI based in United States.
This role offers the opportunity to design and operate advanced data infrastructure powering next-generation artificial intelligence systems.
You will build scalable pipelines that support AI training, evaluation, and continuous model improvement across diverse data types.

They should combine strong software engineering skills with expertise in distributed data systems, large-scale processing, and modern AI infrastructure practices.
Bachelor's or Master's degree in Computer Science, Engineering, or a related technical field.
Strong programming skills in Python and experience with at least one JVM-based or systems programming language.
Hands-on experience with large-scale data processing frameworks such as Spark, Ray, or Beam.
Experience operating large-scale storage systems and high-volume data pipelines.
Strong understanding of distributed systems, data modeling, and modern storage formats.
Familiarity with high-performance data loading architectures for accelerator-based model training.
Experience contributing to open-source data infrastructure projects or supporting advanced AI model development is beneficial.
The ideal candidate will help shape the infrastructure behind high-performance AI applications while solving complex technical challenges.

Experience working with multimodal datasets at scale is preferred.
Knowledge of data quality tooling, dataset evaluation methods, and AI data governance practices is a plus.
Exposure to privacy-preserving data systems and regulated data environments is preferred.

Monitor and improve data quality, pipeline reliability, and system performance through observability practices.
Stay current with emerging AI data infrastructure technologies, research, and open-source solutions.

Opportunity to work on cutting-edge AI and data engineering initiatives.
Exposure to large-scale machine learning systems and advanced technology projects.

We use an AI-powered matching process to ensure your application is reviewed quickly, objectively, and fairly against the role's core requirements.
Our system identifies the top-fitting candidates, and this shortlist is then shared directly with the hiring company.
The final decision and next steps (interviews, assessments) are managed by their internal team.
We appreciate your interest and wish you the best!
Why Apply Through Jobgether?

This listing is sourced directly from Jobgether's careers page and normalized into a canonical job model.