Remote Data Engineer - ETL, Pipelines & Warehouses

GetJobSmart; Atlanta (GA); Hybrid; USD 110,000 - 150,000; Full time

Benefits offered by this job

Health insurance

Retirement plan with employer matching

Professional development

Job summary

Redwood Global Group, a leading financial services firm in Atlanta, GA, is seeking a Data Engineer to design, build, and maintain data pipelines and warehouses. The role emphasizes data quality, security, and performance, with collaboration across data scientists, analysts, and developers.

Candidates should have a Bachelor’s degree in CS/Engineering/Math, 3+ years in data engineering, and strong SQL, Python, and Spark/Hadoop skills. Cloud exposure (AWS/GCP) is a plus.

Qualifications

• Bachelor's degree in CS, Engineering, Math, or related field.
• 3+ years in data engineering or similar role.
• Proven expertise in SQL, Python, and data processing frameworks like Spark/Hadoop.
• Experience with cloud platforms such as AWS or GCP is a plus.

Responsibilities

• Design, build, and maintain data pipelines to collect, process, and analyze data from various sources.
• Develop and implement data models and algorithms to transform raw data into insights.
• Ensure the integrity, security, and performance of data infrastructure.
• Collaborate with data scientists, analysts, and developers to deliver data-driven solutions.
• Monitor and optimize data workflows to improve efficiency and reduce costs.
• Document processes and create training materials for the team.

Skills

SQL

Python

Data modeling

Education

Bachelor's degree

Tools

Apache Spark

Hadoop

AWS

GCP

Job description

Redwood Global Group, a leading financial services firm in Atlanta, GA, is seeking a Data Engineer to design, build, and maintain data pipelines and warehouses. The role emphasizes data quality, security, and performance, with collaboration across data scientists, analysts, and developers.

Candidates should have a Bachelor’s degree in CS/Engineering/Math, 3+ years in data engineering, and strong SQL, Python, and Spark/Hadoop skills. Cloud exposure (AWS/GCP) is a plus.