Remote Data Engineer: ETL, AI Prep & Airflow

CodeRoad; United States; Remote; USD 110,000 - 160,000; Full time

Benefits offered by this job

Competitive USD pay

Paid time off

Health insurance assistance

Job summary

CodeRoad is seeking a data engineer to develop, optimize, and maintain reliable ETL/ELT pipelines for ingesting, transforming, and validating transactional data. You will support data prep for AI applications, including document processing and embedding generation.

You will monitor data workflows using Airflow and Azure Data Factory, ensure data quality, and collaborate with cross-functional teams on high-growth US-based projects.

Qualifications

• 3+ years of data engineering experience with Python, SQL, and pipeline orchestration tools such as Airflow or Azure Data Factory.
• Strong SQL skills including joins, CTEs, window functions, and query optimization.
• Experience with Git-based version control and collaborative development workflows.

Responsibilities

• Develop, optimize, and maintain reliable ETL/ELT pipelines to ingest, transform, and validate transactional data.
• Support data ingestion and preparation for AI applications, including document processing and embedding generation.
• Monitor data workflows using Airflow, Azure Data Factory, and SQL Server Agent, ensuring data quality.

Skills

Python

SQL

Airflow

Git

Tools

Azure Data Factory

SQL Server Agent

Job description

CodeRoad is seeking a data engineer to develop, optimize, and maintain reliable ETL/ELT pipelines for ingesting, transforming, and validating transactional data. You will support data prep for AI applications, including document processing and embedding generation.

You will monitor data workflows using Airflow and Azure Data Factory, ensure data quality, and collaborate with cross-functional teams on high-growth US-based projects.