Hybrid Data Engineer: Build Scalable Pipelines & AI

Pedestal Health; North Carolina; Hybrid; USD 110.000 - 140.000; Vollzeit

Benefits dieser Stelle

Hybrid work schedule

Health and dental coverage

401(k) with company match

Paid PTO and holidays

Paid parental leave

Zusammenfassung

Pedestal Health is hiring a Data Engineer to join our Technology team in a hybrid role located in North Carolina. You will develop software and data pipelines that enhance operational efficiency and enable scalable data solutions for life sciences decision-making.

The ideal candidate has 3+ years of software or data engineering experience with strong SQL and Python, plus hands-on cloud experience (AWS, GCP, or Azure) and CI/CD familiarity.

Qualifikationen

• 3+ years of software/data engineering experience.
• Strong SQL and Python skills with emphasis on data manipulation.
• Experience with cloud platforms (AWS/GCP/Azure) and CI/CD.

Aufgaben

• Design and build data pipelines to support scalable data processing.
• Collaborate with stakeholders to translate requirements into technical solutions.
• Write clean, maintainable code focused on data transformation.
• Support cloud-based data infrastructure and optimize performance.
• Develop and modify databases for internal apps.
• Partner with operations and product teams for deployment and testing.
• Troubleshoot production issues and drive improvements.

Kenntnisse

SQL

Python

Cloud platforms

CI/CD tools

Communication

Independent work

Ausbildung

Bachelor’s degree in computer science or engineering

Tools

GitLab

GitHub Actions

Jobbeschreibung

Pedestal Health is hiring a Data Engineer to join our Technology team in a hybrid role located in North Carolina. You will develop software and data pipelines that enhance operational efficiency and enable scalable data solutions for life sciences decision-making.

The ideal candidate has 3+ years of software or data engineering experience with strong SQL and Python, plus hands-on cloud experience (AWS, GCP, or Azure) and CI/CD familiarity.