Data Engineer I

Equip Health

119d

About The Position

Data is the backbone of what we are building at Equip–we use it everyday to support business processes, measure our success, and inform our decisions. We are looking for a Data Engineer to join us in creating solutions that yield meaningful insights, improve patient lives and help Equip grow. As a Data Engineer at Equip, you'll champion engineering best practices and maintain a scalable platform that supports reporting and analyses across all our business domains–including Clinical Operations, Growth & Strategy, Product, and more. The right person for this role is a quick learner, analytical thinker, effective communicator, is detail oriented, works comfortably in fast-paced environments, and collaborates well with others.

Requirements

• Bachelor's degree in a relevant technical or analytical discipline such as Computer Science, Information Technology, Business Analytics, or Management Information Systems.
• 2+ years of experience in a Data Engineer, Software Engineer, or a similar technical role.
• Demonstrated real-world or academic experience building large-scale data models, including a strong understanding of normalization concepts and the differences between Analytics and Transactional Database systems.
• Proficient in SQL and at least one programming language such as Python or Java.
• Ability to write clear, maintainable, extensible, and testable code.
• Experience interpreting and contextualizing data.
• Experience communicating and collaborating with diverse teams.
• Organized and results-driven.
• Comfortable in a fast-paced environment that is subject to rapid change and innovation.

Responsibilities

• Build and maintain robust data models to support various business needs and reporting requirements.
• Ensure our data infrastructure reliably delivers high-quality data to analytics platforms and business systems.
• Design and implement data models to facilitate accessibility and efficient use by all teams within the company.
• Expand and optimize our data infrastructure as necessary to support new data sources and advanced analytical tools.
• Collaborate with Data Analysts, Data Scientists and Machine Learning Engineers to enhance the data platform and power business decision making.
• Contribute to efforts in optimization, documentation, testing, and tooling to significantly improve data quality and provide greater autonomy to data consumers.
• Perform other duties as assigned.

Benefits

• Flex PTO policy (3-5 wks/year recommended) + 11 paid company holidays.
• Competitive Medical, Dental, Vision, Life, and AD&D insurance.
• Equip pays for a significant percentage of benefits premiums for individuals and families.
• Maven, a company paid reproductive and family care benefit for all employees.
• Employee Assistance Program (EAP), a company paid resource for mental health, legal services, financial support, and more!
• $50/month stipend added directly to an employee’s paycheck to cover home internet expenses.
• One-time work from home stipend of up to $500.

What This Job Offers

• Job Type: Full-time
• Career Level: Mid Level
• Education Level: Bachelor's degree
• Number of Employees: 251-500 employees