Remote ML Data Engineer: Build Scalable Data Pipelines

Ali Aydi; United States; Remote; USD 110,000 - 175,000; Full time

Benefits offered by this job

100% remote work

Health, dental, vision insurance

Paid time off

Job summary

Ali Aydi is seeking a Machine Learning Data Engineer to design, build, and maintain scalable data pipelines and infrastructure in a fully remote US-based role. The ideal candidate will handle ETL/ELT workflows, data ingestion, and quality checks across cloud platforms.

The role requires strong Python/SQL skills, distributed processing experience, and collaboration with data science and ML teams to prepare training datasets. Remote work across the United States is offered.

Qualifications

• Proficient in Python and SQL for data engineering tasks.

Responsibilities

• Design, develop, and maintain scalable data pipelines for ML/AI applications.

Skills

Python

SQL

ETL/ELT pipelines

Apache Spark / PySpark

Relational databases

NoSQL databases

Cloud platforms (AWS/Azure/GCP)

Data warehouses (Snowflake/BigQuery/RS

Airflow / Dagster

Git / CI/CD

Debugging / problem-solving

Education

Bachelor's or Master's degree in CS/DS/IT/Engineering

Tools

Snowflake

BigQuery

Redshift

Databricks

MLflow

Kubeflow

Kafka

Docker

Kubernetes

Delta Lake

Job description

Ali Aydi is seeking a Machine Learning Data Engineer to design, build, and maintain scalable data pipelines and infrastructure in a fully remote US-based role. The ideal candidate will handle ETL/ELT workflows, data ingestion, and quality checks across cloud platforms.

The role requires strong Python/SQL skills, distributed processing experience, and collaboration with data science and ML teams to prepare training datasets. Remote work across the United States is offered.