Data Engineer: ETL, Warehousing & Cloud | Flexible Schedule

Maple North Corp.; Atlanta (GA); On-site; USD 110,000 - 160,000; Full time

Benefits offered by this job

Health insurance

Employer retirement plan

Professional development

Flexible schedule

Generous paid time off

Job summary

Maple North Corp. in Atlanta, GA is seeking a Data Engineer to design, develop, and maintain data pipelines, ETL processes, and data warehouses.

You will optimize data storage and processing to ensure data integrity and availability, collaborating with data scientists, analysts, and software developers. Requirements include a bachelor’s degree in a related field and 3–5 years of Data Engineering experience with Python/Java/Scala and big data technologies, plus AWS or GCP exposure.

Qualifications

• Bachelor's degree in Computer Science, Data Engineering, or a related field is required.
• 3–5 years of Data Engineering experience with data modeling, warehousing, and ETL.
• Strong programming skills in Python, Java, or Scala and experience with big data technologies.

Responsibilities

• Design, build, and maintain data infrastructure to store and analyze data.
• Develop and implement data pipelines to extract, transform, and load data from various sources.
• Ensure performance, scalability, and reliability of data systems and infrastructure.
• Collaborate with data scientists, analysts, and software developers on cross-functional projects.
• Stay up-to-date with emerging technologies to drive innovation in data practices.

Education

Bachelor's degree in Computer Science, Data Engineering, or related field

Tools

Python

Java

Scala

SQL

NoSQL

Hadoop

Spark

Data lakes

AWS

GCP

Job description

Maple North Corp. in Atlanta, GA is seeking a Data Engineer to design, develop, and maintain data pipelines, ETL processes, and data warehouses.

You will optimize data storage and processing to ensure data integrity and availability, collaborating with data scientists, analysts, and software developers. Requirements include a bachelor’s degree in a related field and 3–5 years of Data Engineering experience with Python/Java/Scala and big data technologies, plus AWS or GCP exposure.