MeshyAI

Data Infrastructure Engineer

MeshyAI

full-time

Posted on:

Location Type: Remote

Location: Remote • California • 🇺🇸 United States

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Job Level

Mid-LevelSenior

Tech Stack

AirflowAWSAzureCloudDistributed SystemsETLGoogle Cloud PlatformJavaPythonRayScalaSparkSQL

About the role

  • Design, implement, and maintain distributed ingestion pipelines for structured and unstructured data (images, 3D/2D assets, binaries).
  • Build scalable ETL/ELT workflows to transform, validate, and enrich datasets for AI/ML model training and analytics.
  • Architect pipelines across cloud object storage (S3, GCS, Azure Blob), data lakes, and metadata catalogs.
  • Optimize large-scale processing with distributed frameworks (Spark, Dask, Ray, Flink, or equivalents).
  • Support preprocessing of unstructured assets (e.g., images, 3D/2D models, video) for training pipelines, including format conversion, normalization, augmentation, and metadata extraction.
  • Maintain data lineage, reproducibility, and governance for datasets used in AI/ML pipelines.

Requirements

  • 5+ years of experience in data engineering, distributed systems, or similar.
  • Strong programming skills in Python (plus Scala/Java/C++ a plus).
  • Solid skills in SQL for analytics, transformations, and warehouse/lakehouse integration.
  • Proficiency with distributed frameworks (Spark, Dask, Ray, Flink).
  • Familiarity with cloud platforms (AWS/GCP/Azure) and storage systems (S3, Parquet, Delta Lake, etc.).
  • Experience with workflow orchestration tools (Airflow, Prefect, Dagster).
Benefits
  • Competitive salary, benefits and stock options.
  • 401(k) plan for employees.
  • Comprehensive health, dental, and vision insurance.
  • The latest and best office equipment.

Applicant Tracking System Keywords

Tip: use these terms in your resume and cover letter to boost ATS matches.

Hard skills
PythonScalaJavaC++SQLETLELTSparkDaskRay
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