Data Engineer — Onsite, Flexible Schedule, College Park

Platinum Consulting Agency; College Park (GA); On-site; USD 100,000 - 130,000; Full time

Benefits offered by this job

Employee assistance program

Flexible schedule

Parental leave

Relocation assistance

Retirement plan

Tuition reimbursement

Health insurance

Paid time off

Retirement savings

Professional development

Job summary

Platinum Consulting Agency in College Park, GA seeks a Data Engineer to power business operations through reliable data systems. This onsite role offers a flexible schedule, relocation assistance, and a robust benefits package, including health insurance and retirement planning.

Responsibilities include designing data pipelines, collecting and organizing data, building data warehouses, monitoring data quality, and automating workflows.

Qualifications

• Bachelor’s degree in Computer Science, Information Technology, or a related field.
• Experience in data engineering or database development.
• Proficiency in SQL and Python.
• Familiarity with ETL processes, data warehousing, and data modeling.

Responsibilities

• Design, develop, and maintain reliable data pipelines that support ongoing business needs.
• Collect, process, and organize data from multiple sources to keep information usable and accessible.
• Build and optimize databases and data warehouse solutions for performance and reliability.
• Monitor data quality, system performance, and pipeline reliability to prevent issues before they impact outcomes.
• Automate data workflows and resolve technical issues that affect data movement and availability.
• Collaborate with analysts, developers, and business teams to align data systems with operational goals.

Skills

SQL

Python

Education

Bachelor’s degree (CS/IT related)

Tools

ETL

AWS

Azure

Google Cloud

Job description

Platinum Consulting Agency in College Park, GA seeks a Data Engineer to power business operations through reliable data systems. This onsite role offers a flexible schedule, relocation assistance, and a robust benefits package, including health insurance and retirement planning.

Responsibilities include designing data pipelines, collecting and organizing data, building data warehouses, monitoring data quality, and automating workflows.