AWS Data Engineer at REE Medical

, , United States -

Full Time

Start Date

Immediate

Expiry Date

21 Apr, 26

Salary

130000.0

Posted On

21 Jan, 26

Experience

5 year(s) or above

Remote Job

Yes

Telecommute

Yes

Sponsor Visa

Skills

AWS Data Services, Data Modeling, ETL Pipelines, AWS Glue, AWS Lambda, Amazon Redshift, SQL, Python, Infrastructure as Code, Data Governance, Data Quality, Data Visualization, Collaboration, CloudFormation, CI/CD, Analytics

Industry

Consumer Services

Description

As the AWS Data Engineer, you will be instrumental in building, optimizing, and maintaining scalable data pipelines and lakehouse architectures on AWS to enable reliable, high-performance data flows for analytics and reporting. Your primary focus will be designing robust data models, implementing lakehouse solutions using AWS services, and ensuring efficient ingestion, transformation, and storage of data from diverse sources. This is an excellent opportunity to shape a modern data ecosystem using cutting-edge AWS technologies. This position reports directly to the Manager of Engineering. What is expected in this role: 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. How success is measured in this role: 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. What you need in this role to be successful: 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. Experience working in a remote environment. Proficiency in data visualization tools (Tableau/Power BI) and project management software (Jira, Confluence). What REE Offers you: At REE, we believe in empowering our employees to thrive both personally and professionally. When you join our team, you become part of a dynamic and inclusive work environment where innovation and collaboration are celebrated. Comprehensive Benefits Package - Competitive Salary: $110,000 - $130,000/yr - Health, dental, and vision insurance with Company-sponsored Life Insurance - Retirement savings plan with company match - Vacation time off, sick time off, and holidays Career Development Opportunities - Ongoing training and development programs - Opportunities for advancement within the company Work-Life Balance - Flexible work schedules - Remote first environment with companywide conferences annually - Employee assistance program for personal and family well-being Perks and Rewards - Employee discounts on products and services through Insperity - Recognition programs for outstanding performance - Company-sponsored social events and activities Join us and discover a rewarding career where you can make a difference and grow professionally. REE is only able to hire US citizens or those who are authorized to work in the US as full time employees (we do not provide visa sponsorship). This information is provided in compliance with Equal Pay Regulations across the US and is the company’s good faith and reasonable estimate of the compensation range and benefits offered for this position. The compensation offered to the successful applicant may vary based on factors including experience, skills, education, location, and other job-related reasons. REE Medical participates in E-verify and will provide the federal government with your Form I-9 information to confirm that you are authorized to work in the U.S. Not open to 3rd party recruiters or submissions. REE will never ask for personal information or to purchase anything during the interview process, only communications from a @reemedical.com domain are representative of REE Medical, LLC.

Responsibilities

The AWS Data Engineer will build, optimize, and maintain scalable data pipelines and lakehouse architectures on AWS. This role involves designing robust data models and ensuring efficient data ingestion, transformation, and storage from diverse sources.