Data Engineer

Aptonet; Atlanta (GA); On-site; USD 95,000 - 140,000; Full time

Job summary

A leading data solutions provider in Atlanta is looking for an experienced Data Engineer to build, optimize, and maintain data pipelines and architectures. This onsite role entails collaboration with cross-functional teams to enhance data collection and analysis. Candidates should have a Bachelor's degree in a relevant field and be proficient in ETL/ELT processes and data governance standards.

Qualifications

• Bachelor’s degree in Computer Science, Information Systems, Engineering, or a related

Responsibilities

• Design, develop, and maintain ETL/ELT data pipelines to support business intelligence.
• Build and optimize data architectures for scalability and performance.
• Collaborate with data analysts and scientists to implement data solutions.
• Develop and maintain data models and documentation.
• Integrate data from various sources, ensuring accuracy.
• Implement and enforce data governance and quality standards.
• Monitor data systems performance and troubleshoot issues.

Skills

ETL/ELT data pipelines

Data architectures

Data governance

Data accuracy

Data models

Education

Bachelor’s degree in Computer Science, Information Systems, Engineering, or a related field

Job description

Location: Atlanta, GA (Onsite – 4 to 5 days per week)

Employment Type: Full-Time / Permanent

Eligibility: U.S. Citizens or Green Card Holders only

About the Role

We are seeking an experienced Data Engineer to join our growing analytics and data infrastructure team in Atlanta, Georgia. The ideal candidate will be responsible for building, optimizing, and maintaining data pipelines and architectures that enable efficient data collection, transformation, and analysis across multiple systems. This is an onsite role, offering the opportunity to collaborate closely with cross-functional teams in a dynamic and innovative environment.

Key Responsibilities

• Design, develop, and maintain ETL/ELT data pipelines to support business intelligence, analytics, and reporting needs.
• Build and optimize data architectures for scalability, performance, and reliability.
• Collaborate with data analysts, data scientists, and software engineers to implement data solutions aligned with business goals.
• Develop and maintain data models, schemas, and documentation.
• Integrate data from various internal and external sources, ensuring accuracy and consistency.
• Implement and enforce data governance, quality, and security standards.
• Monitor data systems performance and troubleshoot data-related issues.

Required Qualifications

• Bachelor’s degree in Computer Science, Information Systems, Engineering, or a related