REE Medical · 1 week ago
AWS Data Engineer
United States
Full-time
Remote
Mid, Senior Level
$110K/yr - $130K/yr
4+ years expREE Medical is seeking an AWS Data Engineer to build, optimize, and maintain scalable data pipelines and lakehouse architectures on AWS. The role involves designing robust data models and implementing lakehouse solutions to ensure efficient data ingestion, transformation, and storage for analytics and reporting.
ConsumerHealth CareMedical
No H1B
U.S. Citizen Only
Responsibilities
Data Modeling: Design and implement dimensional and normalized data models optimized for analytical workloads in lakehouse environments
Lakehouse Architecture: Build and manage modern data lakehouse solutions using AWS services including Amazon S3, AWS Glue, Amazon Redshift Spectrum, and Lake Formation for governance, cataloging, and fine-grained access control
ETL/ELT Pipelines: Develop, monitor, and optimize batch and near-real-time data pipelines using AWS Glue, AWS Lambda, Amazon Kinesis, and Step Functions
Data Ingestion & Integration: Ingest structured, semi-structured, and unstructured data from APIs, databases, streaming sources, and third-party systems into the lakehouse
Infrastructure as Code & Automation: Define and manage data infrastructure using AWS CloudFormation, CDK, with CI/CD pipelines
Support model training and analytics initiatives by preparing datasets, performing analysis with strong attention to detail, and creating visualizations using AWS Quick Suite
Perform other duties as assigned
Deliver scalable, maintainable data models that support evolving analytical and reporting needs
Implement secure, governed lakehouse architecture with centralized metadata, access controls, and auditability via AWS Lake Formation
Build high-throughput, fault-tolerant data pipelines with monitoring, alerting, and automated recovery using Amazon CloudWatch and EventBridge
Optimize query performance and cost using Redshift, Athena, and S3 partitioning/compression strategies
Ensure data quality, lineage, and documentation through automated testing and catalog integration
Collaborate effectively with analytics engineers, data scientists, and business stakeholders to align data solutions with organizational objectives
Qualification
Required
3+ Years Experience with AWS data services including S3, AWS Glue, Lake Formation, Amazon Redshift, Athena, and IAM for fine-grained access
4+ Years Experience in data modeling for data warehouses and lakehouses
4+ Years Experience building and orchestrating ETL/ELT pipelines using AWS Glue, Lambda, Step Functions
Proficiency with SQL and Python
Hands-on experience with infrastructure as code (CloudFormation/CDK/Terraform) and CI/CD for data workloads
Strong understanding of data governance, security, and compliance in cloud environments
Excellent communication and interpersonal abilities, facilitating effective collaboration across technical and business teams
Preferred
Experience working in a remote environment
Proficiency in data visualization tools (Tableau/Power BI) and project management software (Jira, Confluence)
Benefits
Health, dental, and vision insurance with Company-sponsored Life Insurance
Retirement savings plan with company match
Vacation time off, sick time off, and holidays
Ongoing training and development programs
Opportunities for advancement within the company
Flexible work schedules
Remote first environment with companywide conferences annually
Employee assistance program for personal and family well-being
Employee discounts on products and services through Insperity
Recognition programs for outstanding performance
Company-sponsored social events and activities
Company
REE Medical
REE Medical supports claims for disability benefits with medical documentation.
201-500 employees
Funding
Current Stage
Growth StageLeadership Team
Patrick Schneider
Chief Financial Officer
David Kestenberg
Chief Information Officer
Recent News
2025-11-11
Company data provided by crunchbase