Remote Data Ops & ML Engineer

Boardroom Appointments; United States; Remote; USD 90,000 - 140,000; Full time

Job summary

Boardroom Appointments is seeking a remote Data Engineer with 3–5+ years of experience in data engineering and ML/AI model development. Candidates should be proficient in Python, ETL frameworks, and large-scale data pipelines, with strong knowledge of AWS services and data governance.

This contract position offers remote work from the United States and requires a bachelor’s degree in a quantitative field. The role involves building end-to-end data pipelines, implementing AI/ML models, and

Qualifications

• Bachelor’s degree in quantitative field or CS/Statistics/Applied Mathematics.
• 3–5+ years of data engineering experience.
• 3–5+ years of ML/AI and statistical algorithms development.
• Experience with large volumes of structured and unstructured data and end-to-end data pipelines.

Responsibilities

• Process structured and unstructured data for data science activities.
• Design scalable pipelines for ingesting and transforming datasets.
• Develop and train ML/AI models for predictive analytics and forecasting.
• Create APIs and data services for enterprise applications.
• Support cloud-based data architectures and governance practices.

Skills

Python programming

Data engineering

Machine learning

ETL design

Education

Bachelor's degree in CS/Statistics/Applied Mathematics

Tools

SSIS/SSRS

SAS ETL Framework

SAP ETL Framework

MongoDB ETL

Apache Spark

Apache Hive

TSQL

SAS

PSQL

DB2

Job description

Boardroom Appointments is seeking a remote Data Engineer with 3–5+ years of experience in data engineering and ML/AI model development. Candidates should be proficient in Python, ETL frameworks, and large-scale data pipelines, with strong knowledge of AWS services and data governance.

This contract position offers remote work from the United States and requires a bachelor’s degree in a quantitative field. The role involves building end-to-end data pipelines, implementing AI/ML models, and