Data Engineer: Cloud Pipelines & API Integrations (Hybrid)

Pantheon Data; Washington (District of Columbia); Hybrid; USD 80,000 - 120,000; Full time

Benefits offered by this job

SmartBenefits

Tuition assistance

Job summary

Pantheon Data in the Washington, DC area is seeking a Data Engineer to design and maintain enterprise data pipelines and cloud-based architectures. You will develop ETL/ELT pipelines, build API integrations, and support data governance initiatives in a hybrid work setup.

The role requires a Bachelor's degree in a related field and 4 years of data engineering experience (or 3 years with a Master's). Certifications in AWS/Azure data engineering are valued, and strong MS Office skills are needed.

Qualifications

• Bachelor's degree in Data Engineering, Computer Science, Software Engineering, or related field.
• AWS Data Engineer Associate, AWS Certified Data Analytics, Azure Data Engineer Associate, or equivalent certification.
• 4 years of data engineering experience, or 3 years with a Master's degree.
• Ability to work effectively remotely in cross-functional teams.
• Ability to meet deadlines and produce quality work.
• Proficient in Microsoft Office Suite (Outlook, Word, Excel, SharePoint, PowerPoint).

Responsibilities

• Design and implement ETL/ELT pipelines.
• Develop cloud-based data solutions.
• Build API integrations and automated data workflows.
• Troubleshoot and optimize data pipelines.
• Support metadata management and data governance initiatives.
• Collaborate with analysts, data scientists, and stakeholders.

Skills

Remote collaboration

Deadline oriented

MS Office

Education

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

Tools

AWS Data Engineer Associate

AWS Certified Data Analytics

Azure Data Engineer Associate

Microsoft 365 / Office Suite

Job description

Pantheon Data in the Washington, DC area is seeking a Data Engineer to design and maintain enterprise data pipelines and cloud-based architectures. You will develop ETL/ELT pipelines, build API integrations, and support data governance initiatives in a hybrid work setup.

The role requires a Bachelor's degree in a related field and 4 years of data engineering experience (or 3 years with a Master's). Certifications in AWS/Azure data engineering are valued, and strong MS Office skills are needed.