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Agent guide: [/agents.md](https://www.wearedevelopers.com/agents.md). --- # Sr. Data Platform Engineer - **Company:** Real Time Medical Systems - **Location:** Linthicum Heights, MD, United States (Remote available) - **Experience:** Expert - **Contract:** Permanent contract - **Skills:** Amazon Web Services, Amazon S3, Business Analytics Applications, Big Data, C Sharp (Programming Language), Cloud Computing, Code Review, Continuous Integration, Data as a Services, Data Validation, Information Engineering, Data Infrastructure, Data Integration, Extract Transform Load (ETL), Data Visualization, DevOps, Identity and Access Management, Interoperability, Python (Programming Language), PostgreSQL, Microsoft Software, Microsoft SQL Server, MicroStrategy, Performance Tuning, Query Optimization, Power BI, Cloud Services, Standard Sql, Software Engineering, Data Streaming, Tableau (Software), Scripting, Database Optimization, Amazon Virtual Private Cloud (VPC), Pyspark, Data Analytics, Data Management, Cloudwatch, Terraform, Software Version Control, Data Pipelines - **Published:** November 10, 2026 - **Apply:** https://www.careerbuilder.com/job-details/sr-data-platform-engineer-linthicum-heights-md--e913fb32-0b5e-4add-99fe-3584351967c5 ## About the Role Cloud Computing, Microsoft SQL Server, Python Programming/Scripting Language, Health Plan, Multitasking, Managed Care, Interoperability, PostgreSQL, Acute Care, Microsoft C# (C Sharp), * 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 conditionsPosition requires minimal amount of travel.Remote/Work from anywhere work environment within the United States.Physical requirementsRemaining in a stationary position, often sitting for prolonged periods.Direct reportsNone ## Description Job purpose summaryReal 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.