Real Time Medical Systems LLC
Sr. Data Platform Engineer
This is a fully remote role.
Job purpose summary Real Time’s suite of Interventional Analytics solutions enables post-acute facilities to seamlessly collaborate with their partner hospitals, health systems, ACOs, and managed care plans to improve care, reduce costs, and achieve a level of interoperability.
Real Time is seeking a Senior Data Platform Engineer with deep hands-on experience across AWS, Terraform, Python, PySpark, SQL Server, PostgreSQL, and C#. This role will focus on designing and optimizing cloud-native data solutions, driving performance and cost efficiency, and enabling large-scale migrations from legacy SQL Server systems to modern PostgreSQL-based architectures.
The ideal candidate thrives in independent, dynamic environments, is comfortable shifting between multiple projects, and can balance long-term architecture with short-term deliverables.
Duties and responsibilities
Design, build, and optimize data pipelines (batch and streaming) using PySpark, Python, and SQL
Lead and support SQL Server → 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
Apply software engineering best practices (version control, CI/CD, testing, code reviews) to data engineering workflows
Contribute to standards, best practices, and technical mentorship across the team
Participate in a rotating on-call schedule to provide production support, ensuring reliability of data platforms with minimal disruption to business operations
Additional Duties and Responsibilities
Maintain regular and punctual attendance.
Any other assigned tasks
Comply with all company policies and procedures.
Qualifications
5+ years of professional experience in data engineering or software engineering roles
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 (or equivalent IaC) for AWS infrastructure automation
Familiarity with SQL Server and PostgreSQL, including database optimization and migration patterns
Working knowledge of C# for application/data integrations
Strong grasp of data modeling, architecture, and governance best practices
Excellent problem-solving skills, ability to self-manage, and comfort working in environments with changing priorities
Bachelor’s degree required
Excellent verbal, written and presentation skills.
Ability to thrive in a fast paced, deadline driven environment.
AWS certification (Solutions Architect, Data Analytics, or DevOps) a plus
Data visualization experience with Tableau, PowerBI, MicroStrategy, etc. also a plus
Experience working in the healthcare industry a plus
You must love what you do! You will be working with other talented and passionate individuals who enjoy working and solving problems together!
Additional Qualifications
Independent contributor who can also collaborate effectively in a remote environment
Strong communication skills, both technical and business-oriented
Comfortable balancing multiple priorities without losing quality
Reliability and responsiveness when participating in the on-call rotation, with a proactive and calm approach to production issues
Positive, solution-oriented mindset - able to tackle tasks with optimism
Working conditions Position requires minimal amount of travel.
Remote/Work from anywhere work environment within the United States.
Physical requirements Remaining in a stationary position, often sitting for prolonged periods.
Direct reports None
Why you\'ll love it here:
You’ll be part of a team that helps save lives every day, and improves the lives of 100,000s of people!
Competitive base salary
Work from home
Ongoing training and coaching for career development
Comprehensive medical, dental and vision coverage with significant company contribution
Disability insurance
401(k) retirement savings program
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Job purpose summary Real Time’s suite of Interventional Analytics solutions enables post-acute facilities to seamlessly collaborate with their partner hospitals, health systems, ACOs, and managed care plans to improve care, reduce costs, and achieve a level of interoperability.
Real Time is seeking a Senior Data Platform Engineer with deep hands-on experience across AWS, Terraform, Python, PySpark, SQL Server, PostgreSQL, and C#. This role will focus on designing and optimizing cloud-native data solutions, driving performance and cost efficiency, and enabling large-scale migrations from legacy SQL Server systems to modern PostgreSQL-based architectures.
The ideal candidate thrives in independent, dynamic environments, is comfortable shifting between multiple projects, and can balance long-term architecture with short-term deliverables.
Duties and responsibilities
Design, build, and optimize data pipelines (batch and streaming) using PySpark, Python, and SQL
Lead and support SQL Server → 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
Apply software engineering best practices (version control, CI/CD, testing, code reviews) to data engineering workflows
Contribute to standards, best practices, and technical mentorship across the team
Participate in a rotating on-call schedule to provide production support, ensuring reliability of data platforms with minimal disruption to business operations
Additional Duties and Responsibilities
Maintain regular and punctual attendance.
Any other assigned tasks
Comply with all company policies and procedures.
Qualifications
5+ years of professional experience in data engineering or software engineering roles
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 (or equivalent IaC) for AWS infrastructure automation
Familiarity with SQL Server and PostgreSQL, including database optimization and migration patterns
Working knowledge of C# for application/data integrations
Strong grasp of data modeling, architecture, and governance best practices
Excellent problem-solving skills, ability to self-manage, and comfort working in environments with changing priorities
Bachelor’s degree required
Excellent verbal, written and presentation skills.
Ability to thrive in a fast paced, deadline driven environment.
AWS certification (Solutions Architect, Data Analytics, or DevOps) a plus
Data visualization experience with Tableau, PowerBI, MicroStrategy, etc. also a plus
Experience working in the healthcare industry a plus
You must love what you do! You will be working with other talented and passionate individuals who enjoy working and solving problems together!
Additional Qualifications
Independent contributor who can also collaborate effectively in a remote environment
Strong communication skills, both technical and business-oriented
Comfortable balancing multiple priorities without losing quality
Reliability and responsiveness when participating in the on-call rotation, with a proactive and calm approach to production issues
Positive, solution-oriented mindset - able to tackle tasks with optimism
Working conditions Position requires minimal amount of travel.
Remote/Work from anywhere work environment within the United States.
Physical requirements Remaining in a stationary position, often sitting for prolonged periods.
Direct reports None
Why you\'ll love it here:
You’ll be part of a team that helps save lives every day, and improves the lives of 100,000s of people!
Competitive base salary
Work from home
Ongoing training and coaching for career development
Comprehensive medical, dental and vision coverage with significant company contribution
Disability insurance
401(k) retirement savings program
#J-18808-Ljbffr