Sr. Data Platform Engineer

Real Time Medical Systems

$100K — $130K *
Information Technology
5 - 7 years of experience
Job Overview by Ladders

Qualifications

  • 5+ years of experience in data engineering or software engineering roles
  • Advanced skills in Python and PySpark for large-scale data processing
  • Strong SQL expertise with a focus on query tuning and ETL/ELT design
  • Hands-on experience with AWS data services including S3, Glue, and EMR
  • Experience with Terraform for automating AWS infrastructure
  • Familiarity with SQL Server and PostgreSQL for optimization and migration
  • Bachelor's degree required.

Responsibilities

  • Design, build, and optimize data pipelines using PySpark, Python, and SQL
  • Lead SQL Server to PostgreSQL migration efforts including schema translation
  • Implement and maintain Terraform infrastructure for various AWS services
  • Conduct performance and cost optimization reviews of AWS workloads
  • Develop frameworks for data quality and monitoring
  • Collaborate with stakeholders to translate requirements into scalable solutions
  • Apply software engineering best practices to data engineering workflows
  • Provide production support as part of a rotating on-call schedule.

Benefits

  • Part of a team that improves lives and saves countless individuals
  • Ongoing training and coaching for career advancement
  • Comprehensive medical, dental, and vision coverage with company contribution
  • Disability insurance
  • 401(k) retirement savings program
Full Job Description
Sr. Data Platform Engineer

Job purpose summary

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 12 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
  • Bachelor7s 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 you7ll love it here:
  • You7ll be part of a team that helps save lives every day, and improves the lives of 100,000s of people!
  • 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

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