Data Engineer

• Design, develop, and maintain scalable data pipelines to support data integration and analytics.
• Collaborate with cross-functional teams to define data requirements and ensure optimal data flow.
• Implement data quality checks and monitoring systems to maintain high standards of data integrity.
• Utilize cloud-based technologies to optimize data storage and processing capabilities.
• Analyze large datasets to identify trends and insights that drive business decisions.
• Participate in code reviews and contribute to best practices in data engineering.
• Document data architecture and processes to ensure clarity and continuity across teams.

Healthcare, Seed Funding, Intelligent Network, Patient Care, Startup, Healthcare Providers, Data Management, Scalable System Development, Data Analysis, Cross-Functional, * 3-5 years of experience in data engineering or a related field.

• Proficiency in SQL and experience with ETL tools and data warehousing solutions.
• Strong understanding of data modeling concepts and best practices.
• Experience with programming languages such as Python or Java for data manipulation and analysis.

Preferred

• Familiarity with cloud platforms like AWS, Azure, or Google Cloud.
• Experience working with big data technologies such as Hadoop or Spark.
• Knowledge of healthcare data standards and regulations.

The base salary for this role ranges from $150K to $175K, complemented by competitive equity options. This is an opportunity to join a forward-thinking company at an exciting stage of growth, where your contributions will directly impact the healthcare industry.

We’re representing a dynamic startup in the healthcare data sector that is focused on simplifying intelligent networks for better healthcare outcomes. This company is on a mission to leverage data-driven solutions to enhance efficiency and improve patient care. With a seed funding stage, they are poised for significant growth and innovation in the healthcare landscape.