Data Engineer/Lead Analyst - Remote

Overview

As a Data Engineer, you’ll be a key contributor to the development and optimization of data products that drive insights and innovation across the enterprise.

In Short

• Design, build, and maintain robust data pipelines using PySpark, SQL, and Python.
• Collaborate with cross-functional teams to understand data requirements.
• Own the development and deployment of ETL processes.
• Contribute to the design and implementation of data models and architecture.
• Participate in code reviews, testing, and documentation.
• Monitor and optimize pipeline performance.
• Support data governance and lineage efforts.
• Research and propose new tools and frameworks.
• Identify opportunities for automation and efficiency.
• Interest in healthcare data and a desire to make a meaningful impact.

Requirements

• Bachelor's degree in Computer Science, IT, Data Science, or related field preferred.
• 2+ years of experience in data engineering or related technical role.
• Solid understanding of data engineering principles.
• Hands-on experience with Databricks, PySpark, SQL.
• Strong problem-solving skills.
• Experience with Git for version control.
• Ability to communicate effectively with stakeholders.
• Experience in healthcare, biotech, or pharmaceutical industries is a plus.
• Reliable internet connection required for remote work.
• Demonstrated understanding of data architecture and modeling concepts.

Benefits

• Comprehensive health benefits including medical, vision, and dental.
• 401(k) with company match.
• Company paid life insurance.
• Tuition reimbursement.
• A minimum of 18 days of paid time off per year.
• Paid holidays.
• Focus on supporting whole health.
• Eligibility for annual bonus plan.
• Innovative work environment.
• Commitment to improving health and vitality.