Experity is a mission-driven team transforming on-demand healthcare across the U.S., empowering urgent care clinics with industry-leading software that makes care faster, easier, and more patient-focused. Joining us means doing meaningful work that directly improves the healthcare experience for millions—from helping families access care quickly to ensuring clinics run smoothly behind the scenes. If you want to make a real impact alongside innovative, dedicated teammates while contributing to a trusted platform that’s becoming the operating system for on-demand care, Experity is the place to grow your career.
Why You’ll Love Working Here
At Experity, great work starts with great people—and we go the extra mile to support our team with a culture of care, growth, and celebration:
Position Type : Full-time
Compensation : $110,000-$150,000, based on experience
Location :
Remote: Team members who live within the U.S. but are not local within a commutable distance from one of our offices may work remotely, with occasional travel to an Experity office for meetings, team collaboration or as needed.
Position Overview
We are seeking a Senior Data Engineer to design, build, and operate scalable data pipelines and data platform capabilities that power Experity's analytics, AI/ML, and healthcare products.
This is a hands-on engineering role requiring strong expertise in data engineering, cloud technologies, distributed data processing, and software engineering. You will work closely with Data Engineering, Data Science, Machine Learning, Product, and Software Engineering teams to transform data from diverse sources into trusted, high-quality, and reusable data products.
As a senior member of the team, you will also provide technical leadership, mentor engineers, contribute to architecture and design decisions, and continuously improve the scalability, reliability, and efficiency of Experity's data ecosystem.
What You'll Do
Data Engineering & Platform
Integrate data from databases, APIs, applications, event streams, and external sources into Experity's enterprise data platform.
Build reusable, high-quality data models and curated data products for analytics, reporting, AI/ML, and operational applications.
Develop complex data transformations and processing workflows using Python, SQL, Snowflake, and distributed data technologies.
Design data solutions for scalability, availability, resiliency, performance, and cost efficiency.
Engineering Excellence & DataOps
Implement automated testing, CI/CD, Infrastructure as Code, and DataOps practices across data engineering workflows.
Build monitoring, alerting, data observability, and automated remediation capabilities to ensure pipeline reliability and data integrity.
Data Quality, Governance & Security
Implement data quality, validation, lineage, and reconciliation controls across critical data pipelines.
Technical Leadership & Collaboration
Provide technical leadership through solution design, architecture discussions, code reviews, and engineering best practices.
Collaborate with Product, Engineering, Analytics, and business stakeholders to translate requirements into scalable data solutions.
Maintain clear technical documentation for data pipelines, models, architecture, and operational processes.
Qualifications
Bachelor's or Master's degree in Computer Science, Engineering, Information Systems, or a related technical field.
Strong experience with AWS, including services such as S3, Lambda, Glue, Kinesis, or equivalent cloud technologies.
Strong understanding of data quality, governance, security, observability, and production support.
Preferred
Why our team?
Build scalable data platforms that power healthcare products, analytics, Machine Learning, and Generative AI.
Work with modern technologies including Snowflake, AWS, Python, Spark, and streaming platforms.
Collaborate closely with Data Engineering, Machine Learning, Data Science, Product, and Engineering teams.
Experity is committed to fostering a diverse, equitable, and inclusive workplace where innovation thrives through collaboration, diverse perspectives, and continuous learning.
Equal Opportunity Employer
This employer is required to notify all applicants of their rights pursuant to federal employment laws. For further information, please review the Know Your Rights notice from the Department of Labor.
