Staff Data Engineer, Full Time

🔥 14 hours ago

🇺🇸 United States – Remote

💵 $140.8k - $190k / year

⏰ Full Time

🔴 Lead

🚰 Data Engineer

🦅 H1B Visa Sponsor

This company has sponsored H1B visas in the past.

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Experity

WebsiteLinkedInAll Job Openings

501 - 1000 employees

🏥 Healthcare

🤖 Artificial Intelligence

Healthcare • Artificial Intelligence

Experity is the leading software and services company for on-demand healthcare in the U. S. urgent care market, providing an integrated operating system complete with electronic medical record, practice management, patient engagement, billing, teleradiology, business intelligence, and consulting solutions. Fifty percent of the U. S. urgent care market runs on Experity solutions. With Experity, providers can best meet the demands of the evolving on-demand space and deliver high-quality, high-velocity care by streamlining operations, improving patient experiences, and optimizing revenue.

📋 Description

• Lead the architecture and hands-on delivery of scalable batch and near-real-time ETL/ELT pipelines and data platform services • Define integration patterns for databases, APIs, applications, CDC/event streams, and external sources across the enterprise data platform • Design reusable, governed data models, curated data products, and semantic-ready datasets for analytics, reporting, AI/ML, and operational applications • Solve complex transformation and processing challenges using Python, SQL, Snowflake, and distributed data technologies • Drive architectural decisions for scalability, availability, resiliency, performance, maintainability, and cost efficiency • Define reusable frameworks, libraries, reference architectures, and engineering patterns across data engineering teams • Advance automated testing, CI/CD, Infrastructure as Code, and DataOps standards • Establish observability, data freshness, service-level objectives, alerting, and automated recovery for critical data pipelines • Lead resolution of high-impact production issues and cross-system root-cause analysis • Improve Snowflake and cloud compute efficiency, query performance, storage, and platform operating costs • Set technical standards for data quality, validation, lineage, reconciliation, and trusted data delivery • Partner with Data Architecture, Governance, and Security teams on discoverable, governed, reusable data assets and access patterns • Design healthcare data solutions with privacy, security, and compliance requirements embedded from the outset • Serve as technical authority for design reviews, architecture decisions, code quality, and engineering best practices • Mentor Senior and other Data Engineers through design guidance, pairing, code reviews, and knowledge sharing • Partner with Data Scientists and Machine Learning Engineers on feature pipelines, ML-ready datasets, and governed data access for Generative AI and agentic applications • Translate ambiguous product and business needs into architecture, phased delivery plans, and measurable technical outcomes • Communicate architectural decisions, tradeoffs, risks, and operational practices to technical and non-technical stakeholders

🎯 Requirements

• Bachelor's or Master's degree in Computer Science, Engineering, Information Systems, or a related technical field • 8+ years of experience building and operating production-grade data platforms • Demonstrated ownership of complex systems or cross-team technical initiatives • Expert proficiency in Python and SQL • Strong software design, testing, debugging, and code review practices • Deep hands-on experience with Snowflake, including data modeling, query optimization, performance, and cost management • Experience architecting CDC, Kafka, Flink, or comparable distributed event and streaming solutions • Strong experience with AWS, including S3, Lambda, Glue, Kinesis, or equivalent cloud services • Experience designing high-volume batch and near-real-time ETL/ELT architectures and reusable analytical data models • Experience with orchestration technologies such as Airflow or equivalent platforms • Experience establishing CI/CD, Git-based workflows, automated testing, and Infrastructure as Code practices • Strong command of data quality, governance, security, observability, production operations, and reliability engineering • Ability to lead technical decisions across teams, mentor engineers, and communicate tradeoffs effectively • Hands-on, full-stack mindset and willingness to own complex problems end-to-end • Preferred: Experience with dbt and dimensional modeling or semantic-layer design • Preferred: Experience using AI-assisted development tools responsibly • Preferred: Experience supporting Machine Learning, Generative AI, feature engineering, and AI-ready data access patterns • Preferred: Experience with Docker, Kubernetes, Terraform, or CloudFormation • Preferred: Experience with metadata management, data catalogs, lineage, data observability, and data product governance • Preferred: Experience in Healthcare, HealthTech, SaaS, or other regulated industries

🏖️ Benefits

• Medical, Dental/Orthodontia, and Vision coverage starting first day of employment • Synthetic ownership eligibility after one year of employment, with financial rewards based on company success • Employee Assistance Program including counseling, legal resolution, financial education, pet adoption assistance, and identity theft and fraud resolution • Flexible work scheduling • Generous paid time off (PTO), increasing with milestones • Career development and learning programs • Team-building events, family company picnic, and holiday party • Quarterly bonuses • 401(k) retirement plan with employer match • Opportunity to work remotely or in an office

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