Remote Senior Real-Time Data Platform Engineer

Real Time Medical Systems; Columbia (MD); On-site; USD 130,000 - 170,000; Full time

Job summary

Real Time Medical Systems is seeking a Senior Data Platform Engineer to design and optimize cloud-native data solutions on AWS, focusing on performance and cost efficiency. You will drive large-scale migrations from legacy SQL Server to PostgreSQL-based architectures and collaborate across teams to deliver scalable data platforms.

Ideal candidates have deep hands-on experience with Python, PySpark, SQL, Terraform, and C#, and thrive in fast-paced environments requiring independent, multi-project

Qualifications

• 5+ years of professional experience in data engineering or software engineering.
• Advanced skills with Python and PySpark for large-scale data processing.
• Strong SQL development experience, including query tuning and ETL/ELT design.
• Hands-on experience with AWS data services (S3, Glue, EMR, Lambda, DDB, DMS, CloudWatch, IAM, VPC).
• Experience with Terraform/Terragrunt for AWS infrastructure automation.

Responsibilities

• Design, build, and optimize data pipelines (batch and streaming) using PySpark, Python, and SQL
• Lead SQL Server to PostgreSQL migration efforts, including schema translation, performance tuning, and data validation
• Implement and maintain Terraform infrastructure for AWS services (S3, Glue, Lambda, EMR, Redshift, DMS, etc.)
• Conduct performance and cost optimization reviews of AWS workloads, recommending and implementing improvements
• Develop frameworks for data quality, monitoring, and reconciliation
• Collaborate with business stakeholders and other engineers to translate requirements into scalable solutions

Skills

Python

PySpark

SQL

AWS

Terraform

C#

Data modeling

Data governance

CI/CD

On-call support

Education

Bachelor’s degree

Tools

Terraform/Terragrunt

PostgreSQL

SQL Server

Tableau/Power BI

Job description

Real Time Medical Systems is seeking a Senior Data Platform Engineer to design and optimize cloud-native data solutions on AWS, focusing on performance and cost efficiency. You will drive large-scale migrations from legacy SQL Server to PostgreSQL-based architectures and collaborate across teams to deliver scalable data platforms.

Ideal candidates have deep hands-on experience with Python, PySpark, SQL, Terraform, and C#, and thrive in fast-paced environments requiring independent, multi-project