Staff Data Engineer - Full Time

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.

Experity offers the following:

• Benefits - Comprehensive coverage starts first day of employment and includes Medical, Dental/Orthodontia, and Vision.
• Ownership - All Team Members are eligible for synthetic ownership in Experity upon one year of employment with real financial rewards when the company is successful!
• Employee Assistance Program - This robust program includes counseling, legal resolution, financial education, pet adoption assistance, identity theft and fraud resolution, and so much more.
• Flexibility - Experity is committed to helping team members face the demands of juggling work, family and life-related issues by offering flexible work scheduling to manage your work-life balance.
• Paid Time Off (PTO) - Experity offers a generous PTO plan and increases with milestones to ensure our Team Members have time to recharge, relax, and spend time with loved ones.
• Career Development - Experity maintains a learning program foundation for the company that allows Team Members to explore their potential and achieve their career goals.
• Team Building - We bring our Team Members together when we can to strengthen the team, build relationships, and have fun! We even have a family company picnic and a holiday party.
• Total Compensation - Competitive pay, quarterly bonuses and a 401(k) retirement plan with an employer match to help you save for your future and ensure that you can retire with financial security.

Compensation: Budgeted between $140,750 and $190,000 dependent upon applicable experience.

Remote: Experity offers Team Members the opportunity to work remotely or in an office.

Responsibilities:

Data Engineering & Platform

• Lead the architecture and hands-on delivery of scalable batch and near-real-time ETL/ELT pipelines and data platform services.
• Define robust integration patterns for databases, APIs, applications, CDC/event streams, and external sources across Experity's 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; contribute production-quality code.
• Drive architectural decisions and tradeoffs for scalability, availability, resiliency, performance, maintainability, and cost efficiency.

Engineering Excellence & DataOps

• Define reusable frameworks, libraries, reference architectures, and engineering patterns adopted across data engineering teams.
• Advance automated testing, CI/CD, Infrastructure as Code, and DataOps standards; improve developer workflows using AI-assisted engineering tools with appropriate review and controls.
• Establish observability, data freshness, service-level objectives, alerting, and automated recovery patterns for critical data pipelines.
• Lead resolution of high-impact production issues, cross-system root-cause analysis, and preventive architectural improvements.
• Drive measurable improvements in Snowflake and cloud compute efficiency, query performance, storage, and platform operating costs.

Data Quality, Governance & Security

• Set technical standards for data quality, validation, lineage, reconciliation, and trusted data delivery across critical domains.
• Partner with Data Architecture, Governance, and Security teams to design discoverable, governed, reusable data assets and consistent access patterns.
• Design healthcare data solutions with privacy, security, and applicable compliance requirements embedded from the outset.

Technical Leadership & Collaboration

• Serve as a technical authority for cross-team design reviews, architecture decisions, code quality, and engineering best practices.
• Mentor Senior and other Data Engineers through design guidance, pairing, code reviews, and technical knowledge sharing; lead through influence rather than direct reports.
• Partner with Data Scientists and Machine Learning Engineers on reliable feature
• pipelines, ML-ready datasets, and governed data access for Generative AI and agentic applications.
• Translate ambiguous product and business needs into practical architecture, phased
• delivery plans, and measurable technical outcomes.
• Communicate architectural decisions, tradeoffs, risks, and operational practices clearly to engineering and non-engineering stakeholders.

Education and Experience:

• 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, including demonstrated ownership of complex systems or cross-team technical initiatives.
• Expert proficiency in Python and SQL, with 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.
• Proven 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.
• Demonstrated ability to lead technical decisions across teams, mentor engineers, and communicate tradeoffs effectively.
• A hands-on, full-stack mindset and willingness to own complex problems end-to-end, from design through production operations.

Preferred:

• Experience with dbt and dimensional modeling or semantic-layer design.
• Experience using AI-assisted development tools responsibly to improve engineering velocity, code quality, testing, and operational efficiency.
• Experience supporting Machine Learning, Generative AI, feature engineering, and AIready data access patterns.
• Experience with Docker, Kubernetes, Terraform, or CloudFormation.
• Experience with metadata management, data catalogs, lineage, data observability, and data product governance.
• Experience in Healthcare, HealthTech, SaaS, or other regulated industries.

Equal Opportunity Employer

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