Sr. Data Platform Engineer
At a glance
Senior Data Engineering role at Real Time Medical Systems. Remote · full-time.
Pay not stated Data Platform Engineer salary
dataroles summary, based on the employer's posting.
What you'll do
- Build and tune batch and streaming data pipelines with PySpark, Python and SQL
- Move data from SQL Server to PostgreSQL, handling schema changes, performance tuning and validation
- Automate AWS infrastructure with Terraform and improve workload performance and cloud costs
- Create data quality, monitoring and reconciliation frameworks, and apply testing and CI/CD practices
- Turn stakeholder needs into scalable data solutions and take part in team technical guidance and on-call support
What you bring
- At least five years in data engineering or software engineering roles
- Strong Python and PySpark skills, plus SQL development experience in tuning queries and building ETL/ELT
- Hands-on AWS data services experience and infrastructure automation with Terraform, Terragrunt or equivalent
- A bachelor's degree, with working knowledge of C# and familiarity with SQL Server and PostgreSQL
Who this fits
This senior individual-contributor role suits someone who can work independently, collaborate remotely and handle shifting priorities across projects. The job is remote within the United States, includes a rotating on-call schedule and requires minimal travel.
From the employer
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.
- 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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