Data Engineer

About The Company

Medical Guardian is a rapidly expanding digital health and safety organization dedicated to empowering individuals to live independently and confidently. Recognized for thirteen consecutive years on the Inc. 5000 list of Fastest Growing Companies, we are at the forefront of redefining aging and health management through innovative solutions. Our commitment centers on providing life-saving emergency response systems and remote patient monitoring services to over 625,000 members nationwide. Trusted by families, healthcare providers, and care managers alike, our culture is rooted in innovation, compassion, and purpose, driving us to deliver impactful healthtech solutions that improve quality of life.

About The Role

The Principal Data Engineer role is pivotal in establishing and leading the data engineering foundation that underpins real-time decision-making, operational applications, analytics, machine learning/AI models, and data services across Medical Guardian. This position entails owning the design, implementation, and maturation of production-grade data pipelines and platforms, with a focus on real-time streaming, IoT telemetry, and cloud-based data services, primarily utilizing Azure, Databricks, and related technologies. The role demands a hands-on technical leader who can also provide strategic guidance, manage cross-functional stakeholders, and mentor engineering teams. The ideal candidate will excel in transforming ambiguous business needs into reliable, scalable data capabilities through pragmatic technical decisions, fostering a culture of high-quality engineering practices, and ensuring operational excellence in a fast-paced, startup-like environment.

Qualifications

• 10+ years of professional experience in data engineering or related fields
• Extensive hands-on experience with Databricks, Spark, PySpark, SQL, Delta Lake, and Azure cloud services
• Proficiency in designing and operating real-time streaming data pipelines and IoT telemetry ingestion
• Strong knowledge of data architecture patterns such as Medallion architecture and Lakehouse frameworks
• Experience with CI/CD pipelines, automation, and production troubleshooting
• Proven leadership skills in managing and mentoring data engineering teams
• Ability to translate complex business requirements into scalable data solutions
• Experience working with ML/AI, analytics, and data governance frameworks
• Excellent communication skills, capable of working with technical and non-technical stakeholders
• Background in healthtech, SaaS, digital products, or IoT environments is preferred

Responsibilities

• Design, develop, optimize, and maintain production-grade batch and streaming data pipelines on Azure and Databricks, focusing on IoT and telemetry use cases within a Medallion architecture
• Create and manage ETL/ELT workflows for large volumes of structured, semi-structured, unstructured, and streaming data
• Build reliable data products, APIs, and microservices supporting operational, analytical, and ML/AI teams
• Utilize Python, PySpark, Spark SQL, Delta Lake, CI/CD tools, and related technologies to ensure maintainability, testing, and observability of data systems
• Troubleshoot complex production pipeline issues, perform root cause analysis, and implement corrective measures
• Lead the design and implementation of real-time streaming ingestion and processing for medical device telemetry and operational data feeds using Azure Event Hubs, Stream Analytics, and Databricks
• Define and enforce standards for data pipeline architecture, quality, security, and operational supportability
• Set strategic direction for Databricks-based data platform architecture, including optimization and cost management
• Collaborate with cross-functional teams to clarify data requirements, prioritize initiatives, and shape technical solutions
• Manage, mentor, and develop data engineering team members, fostering a culture of high performance and continuous improvement
• Partner with ML, analytics, and data science teams to enable reliable data pipelines and feature engineering for AI/ML models
• Implement data governance, security, privacy, and compliance best practices across all data initiatives
• Lead incident response, perform root cause analysis, and drive continuous improvements in data platform reliability and scalability

Benefits

• Competitive salary and performance-based incentives
• Comprehensive health, dental, and vision insurance plans
• Retirement plan options with company matching
• Flexible work arrangements and remote work opportunities
• Professional development programs and ongoing training
• Inclusive and collaborative work environment
• Opportunities to work on innovative projects in healthtech and IoT domains

Equal Opportunity

Medical Guardian is an equal opportunity employer. We celebrate diversity and are committed to creating an inclusive environment for all employees. All qualified applicants will receive consideration for employment without regard to race, color, religion, gender, gender identity or expression, sexual orientation, national origin, genetics, disability, age, or veteran status.