8+ years of experience in DevOps and full-stack development., Experience in healthcare technology or other heavily regulated industries is required., A 4-year degree in computer science, healthcare information technology, or a relevant field is necessary., Proficiency in Python, SQL, and cloud computing, particularly Azure, is essential..
Key responsabilities:
Develop new features and systems to meet business and project requirements.
Ensure application performance, uptime, and scalability while maintaining code quality standards.
Collaborate with stakeholders to align IT solutions with business needs.
Utilize AI tools to monitor systems and implement improvements.
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Unified is accelerating meaningful change in women’s healthcare by building healthy, innovative and mission-driven businesses to meet the comprehensive needs of women across the entirety of their health journey. Founded in 2009, Unified’s business affiliates support more than 2,600 providers across 22 North American markets and remain an indispensable source of business knowledge and innovation to transform women’s healthcare. Its four businesses remain top in their field, including the largest ObGyn physician practice management platform in the United States, the global pioneer in fertility treatment and science (CCRM Fertility), the leading women’s maternity analytics platform that directly improves birth outcomes (Lucina), and the nation’s leading virtual menopause clinic provider (Gennev). For more information, visit unifiedwomenshealthcare.com.
The Lead Data Engineer role revolves around providing both technical and team leadership. This is a hands-on position using modern technologies and innovative architecture within a forward-thinking organization dedicated to good customer experience. This individual will possess an in-depth understanding of system design principles, system scaling, DevOps methodologies, and the integration of AI for automating tasks. The ideal candidate will showcase expertise in data workflows, data quality, automated testing, and Cloud computing. Strong communication skills are essential, as the role involves assisting other engineers and conveying complex concepts to non-technical colleagues.
Responsibilities
Develop new features and systems to support rapidly emerging business and project requirements.
Contribute to design sessions, code reviews, collaborative coding, and research.
Ensure application performance, uptime, and scalability while upholding rigorous standards for code quality and application design.
Employ agile development methodologies, embracing best practices and pursuing ongoing learning opportunities.
Participate in all aspects of software development, including design, implementation, and deployment.
Provide and implement solutions to automate internal or customer workflows.
Provide and implement solutions for optimizations of system performance.
Use AI tools to monitor and analyze various aspects of internal systems, including infrastructure, logs, and DevOps, and report on and implement improvements.
Collaborate across time zones via Jira, GitHub, SharePoint, video conferences, and other standard platforms.
Work closely with the stakeholders to ensure IT solutions align with business needs.
Follow all applicable federal/state regulations concerning privacy and security, as well as all compliance policies defined in SOC2, HIPAA, and HITRUST.
Other duties as assigned.
Qualifications
8+ years of experience in DevOps and full-stack development.
Healthcare technology, or other heavily regulated industry experience.**REQUIRED**
A 4-year degree in computer science, healthcare information technology, or a relevant field or equivalent knowledge and skills obtained through a combination of education, training, and experience.
Experience with Agile methodologies.
Technologies:
Python 3.10+ / PySpark - Required
SQL - at least on one of MS Sql Server, MySql, PostgreSql, SparkSql
Databricks - Required or equivalent system
Feature Flagging (e.g. LaunchDarkly) - Preferred
Cloud Computing, Azure preferred - Required
Event-driven or distributed systems - Required
AI tools (e.g. Azure Copilot, GitHub Copilot, Kubiya)
Required profile
Experience
Spoken language(s):
English
Check out the description to know which languages are mandatory.