Data Engineer: Build Scalable Pipelines | Flexible Schedule

Cumberland Group, LLC; Atlanta (GA); On-site; USD 105,000 - 135,000; Full time

Benefits offered by this job

Dental insurance

Employee assistance program

Flexible schedule

Parental leave

Relocation assistance

Retirement plan

Tuition reimbursement

Job summary

Cumberland Group, LLC in Atlanta, GA is seeking a Data Engineer to design, build, and maintain data pipelines, collect and process large datasets, and optimize database systems for reliable reporting and analytics.

You will monitor data quality, troubleshoot issues, and collaborate with analysts and development teams on data projects. A Bachelor's degree and experience with SQL, Python, ETL, cloud platforms, and data warehousing are required.

Qualifications

• Bachelor's degree in CS, data engineering or related field.
• Experience with SQL, Python, and database technologies.
• Knowledge of ETL processes and data pipeline development.
• Familiarity with cloud platforms and data warehousing.
• Strong analytical and problem-solving skills.

Responsibilities

• Design, build, and maintain data pipelines and integration processes.
• Collect, process, and organize large datasets for downstream reporting and analysis.
• Develop and optimize database systems to support reliable data access and performance.
• Monitor data quality and troubleshoot issues impacting data flows.
• Collaborate with analysts and development teams to support data projects.

Skills

SQL

Python

ETL

Data pipelines

Analytical

Problem solving

Education

Bachelor’s degree in CS/Data Engineering or related field

Tools

Cloud platforms

Data warehousing

Database technologies

Job description

Cumberland Group, LLC in Atlanta, GA is seeking a Data Engineer to design, build, and maintain data pipelines, collect and process large datasets, and optimize database systems for reliable reporting and analytics.

You will monitor data quality, troubleshoot issues, and collaborate with analysts and development teams on data projects. A Bachelor's degree and experience with SQL, Python, ETL, cloud platforms, and data warehousing are required.