Sr. Data Platform Engineer

Real Time Medical Systems • Columbia, MD

3d • Remote

About The Position

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.

Requirements

• 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.
• 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

Nice To Haves

• 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!

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
• Maintain regular and punctual attendance.
• Any other assigned tasks
• Comply with all company policies and procedures.

Benefits

• Competitive base salary
• Ongoing training and coaching for career development
• Comprehensive medical, dental and vision coverage with significant company contribution
• Disability insurance
• 401(k) retirement savings program

What This Job Offers

• Job Type: Full-time
• Career Level: Mid Level