ML Data Engineer: Build Scalable Data Pipelines

Potomac; Bethesda (MD); On-site; USD 100,000 - 130,000; Full time

Job summary

A boutique tactical asset manager in Bethesda seeks a Machine Learning Data Engineer to enhance its data infrastructure. The role involves designing data pipelines, managing data lakes, and ensuring quality datasets for machine learning. Candidates should have a Bachelor’s degree in Computer Science, strong Python and SQL skills, and over four years of data engineering experience. This position supports collaboration across teams and demands excellent problem-solving and communication skills.

Qualifications

• 4+ years of experience in data engineering or related roles.
• Hands-on experience building and operating data pipelines.
• Strong proficiency in Python and SQL.

Responsibilities

• Design, build, and maintain scalable data pipelines.
• Implement ELT/ETL processes for trusted datasets.
• Ensure data quality, freshness, and reliability.

Skills

Python

SQL

Data Engineering

Problem-Solving

Data Modeling

Communication

Education

Bachelor’s degree in Computer Science or related field

Tools

Airflow

AWS

Azure

GCP

Job description

A boutique tactical asset manager in Bethesda seeks a Machine Learning Data Engineer to enhance its data infrastructure. The role involves designing data pipelines, managing data lakes, and ensuring quality datasets for machine learning. Candidates should have a Bachelor’s degree in Computer Science, strong Python and SQL skills, and over four years of data engineering experience. This position supports collaboration across teams and demands excellent problem-solving and communication skills.