Data Engineer

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. is currently seeking a skilled Data Engineer to join their team in Atlanta, Georgia. This full-time position offers a negotiable salary, providing the successful candidate with the opportunity to earn a competitive compensation package. The role is open and accepting applications until November 23, 2026, allowing interested individuals ample time to submit their qualifications and express their interest in the position.

As a Data Engineer, you will design, develop, and maintain data pipelines, ETL processes, and data warehouses. You will also optimize data storage and processing, ensuring data integrity and availability.

You will collaborate with cross-functional teams, including data scientists, analysts, and software developers, to drive projects from conception to completion. This collaboration will involve regular meetings, status updates, and joint problem-solving sessions to ensure that all aspects of the project are addressed. Your role will require strong communication skills to effectively convey your ideas and understand the perspectives of your colleagues. Our workplace is in Atlanta, GA, and we foster a culture of innovation and continuous learning, where employees are encouraged to share their ideas and learn from each other. This culture is supported by regular training sessions, workshops, and access to a wide range of resources and tools. Additionally, we value diversity and inclusion, and our team is composed of individuals from various backgrounds and experiences.

The salary for this position is negotiable, and the benefits package includes comprehensive health insurance coverage, a retirement plan with employer matching contributions, and opportunities for professional development through workshops, training programs, and access to industry conferences. Additionally, the company offers a flexible work schedule and generous paid time off, ensuring a healthy work-life balance for employees.

You must have a bachelor's degree in Computer Science, Data Engineering, or a related field. Experience with SQL, Python, and cloud platforms like AWS or GCP is required. Knowledge of big data technologies is a plus.

• Design, build, and maintain efficient, reusable, and reliable data infrastructure to store and analyze data.
• Develop and implement data pipelines to extract, transform, and load data from various sources.
• Ensure the performance, scalability, and reliability of our data systems and infrastructure.
• Collaborate with cross-functional teams to identify and solve complex data challenges.
• Stay up-to-date with emerging technologies and industry trends to drive innovation in our data practices.
• Bachelor's degree in Computer Science, Data Science, or a related field.
• 3-5 years of experience in Data Engineering, with a strong background in data modeling, data warehousing, and ETL processes.
• Proficiency in programming languages such as Python, Java, or Scala.
• Experience with big data technologies such as Hadoop, Spark, or similar frameworks.
• Strong understanding of data storage technologies such as SQL databases, NoSQL databases, or data lakes.