Velocity TechRemote
Staff data engineer
United States of America
Full Time
2 hours ago
H1B Sponsor Likely
Key skills
Data engineeringHealthcare dataCloud-native technologiesPythonData orchestration toolsHealthcare interoperability standardsObservability toolsOpen-source contributionsCollaboration skillsMentorshipMLPandasData EngineeringSparkKafkaAirflowFastAPIKubernetesDockerMongoDBPrometheusDatadogOpenTelemetryCI/CDLeadershipCommunicationCollaboration
About this role
Velocity Tech has partnered with an innovative healthcare technology company that is transforming how individuals access, manage, and act on their complete health records. The role focuses on designing and implementing robust, secure, and scalable data pipelines that serve both analytical and operational use cases across a cloud-native environment.
Responsibilities:
- Design and implement distributed data systems and pipelines for large-scale healthcare applications
- Develop and maintain real-time and batch data infrastructure integrating multiple healthcare data sources
- Build and optimize backend services and APIs using FastAPI, MongoDB, and cloud-native technologies
- Champion technical excellence through code quality, testing, and peer review practices
- Provide mentorship and technical leadership to data engineers and cross-functional teams
- Develop and scale event-driven data pipelines leveraging Kafka, Spark, and DuckDB
- Implement strong observability, monitoring, and alerting for distributed systems
- Improve internal development workflows, automation, and CI/CD pipelines
- Ensure compliance, data privacy, and security best practices (HIPAA, HITECH) across all systems
Requirements:
- 8+ years of software and data engineering experience, including 3+ years with distributed data systems
- Demonstrated success designing data solutions for complex, high-scale healthcare environments
- Proficiency in Python and related libraries such as Pandas, PySpark, and FastAPI
- Experience with data orchestration tools like Prefect or Airflow
- Familiarity with Docker, Kubernetes, and CI/CD processes
- Strong collaboration and communication skills, with a proven ability to mentor and guide others
- Working knowledge of healthcare interoperability standards (FHIR, HL7, CCDA)
- Experience deploying or maintaining LLMs, ML models, or retrieval-based data systems
- Exposure to observability tools such as OpenTelemetry, Datadog, or Prometheus
- Hands-on experience in healthcare, healthtech, or other regulated data environments
- Contributions to open-source projects or public repositories