Data Engineer (PySpark/Python) - Remote

Overview

We are seeking an integral member for our technical team, responsible for supporting the design, development, and maintenance of the organization's data and programming infrastructure, ensuring the efficient and reliable flow of data across various systems.

In Short

• Fully remote position.
• Design, develop, and maintain data processes and solutions.
• Collaborate with stakeholders to provide data solutions.
• Implement data governance practices for quality and compliance.
• Monitor work against production schedules and report issues.
• Perform data analysis to support decision-making.
• Stay current with industry trends and recommend new tools.
• 3 years of experience required in data engineering roles.
• Experience with Python, PySpark, and SQL.
• Strong understanding of cloud-based data solutions.

Requirements

• Bachelor’s degree in Computer Science or related field.
• 3 years of experience in data engineering and ETL development.
• Experience with database technologies like MySQL and PostgreSQL.
• Knowledge of data warehousing concepts.
• Familiarity with data pipeline management tools.
• Experience in cloud platforms such as GCP and Azure.
• Strong analytical skills and attention to detail.
• Ability to work in a team and mentor junior engineers.
• Adaptability to learn new data technologies.
• Experience in healthcare data solutions is a plus.

Benefits

• Competitive salary with a range of $67,500 - $126,000.
• Work from home flexibility.
• Opportunities for professional development.
• Comprehensive health benefits.
• Collaborative and innovative work environment.
• Access to advanced data tools and technologies.
• Support for work-life balance.
• Engagement in meaningful healthcare projects.
• Mentorship opportunities within the team.
• Participation in industry conferences and workshops.