Remote Data Engineer Job at MedReview
USA
5 days agoJob Overview
MedReview is hiring a remote candidate for Data Engineer. This is a full time position. Work location: USA.
The role typically involves technologies such as SQL, Terraform, CI/CD, Kafka, Python, Rust.
Key Responsibilities
- Pipeline Architecture: Design, implement, and maintain end-to-end data pipelines on Azure , ensuring high availability and low latency for healthcare claim and analytics processing.
- High-Performance Storage: Manage and optimize ClickHouse as our primary analytical engine, focusing on rapid data ingestion and lightning-fast query performance for large-scale datasets.
- ML Data Readiness: Structure data environments to support the full ML lifecycle, from feature engineering and training to real-time model inference.
- MLOps Integration: Collaborate with Data Scientists to implement automated CI/CD pipelines for model deployment, monitoring, and retraining.
- Rapid Acquisition: Develop scalable frameworks to ingest diverse healthcare data sources (EDI, claims, clinical notes) with high velocity.
- Security & Compliance: Ensure all data structures and processes adhere to HITRUST/HIPAA standards, collaborating with IT and the leads for technical efforts for HITRUST certification readiness.
Required Skills
Primary Skills
- SQL
- Terraform
- CI/CD
- Kafka
- Python
Secondary Skills
- Rust
- Azure
- engineer
- machine learning
- architecture
Skills required for this role include SQL, Terraform, CI/CD, and related tools for day-to-day development.
Job Details
- Employment Type: Full Time
- Location: USA
- Salary: $105000 – $115000 USD
Tech Stack
SQL, Terraform, CI/CD, Kafka, Python, Rust, Azure, engineer, machine learning, architecture
Role details
Position Summary:
MedReview Innovation and Development team is seeking a data engineer to function as the primary architect and operator of our data infrastructure. Your mission is to evolve our current environment into a rapid-acquisition engine capable of feeding real-time ML models, innovation, and operations while maintaining rigorous healthcare compliance standards. Responsibilities:
Required Skills & Experience
Cloud Expertise:
5+ years of experience in data engineering, with deep proficiency in Azure Data Factory, Azure Databricks, or Azure Synapse.
OLAP Mastery:
Proven experience managing and tuning ClickHouse (or similar columnar databases like Druid/Pinot) for massive datasets.
Programming:
Expert-level Python and SQL skills.
ML Engineering:
Familiarity with ML frameworks (PyTorch, TensorFlow) and MLOps tools (MLflow, Kubeflow, or Azure Machine Learning).
Healthcare Domain:
Prior experience with healthcare data formats (HL7, FHIR, 835/837) and a strong understanding of HITRUST/HIPAA security requirements.
Scale-up Mindset:
Ability to build 'v1' processes while designing for 10x growth.
Preferred Qualifications:
Experience with Infrastructure as Code (Terraform, Bicep).
Knowledge of stream processing (Kafka, Azure Event Hubs).
Background in financial or payment integrity analytics.
Salary: 105,000 - 115,000