Job DescriptionJob Description Sr. Data Platform Engineer 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 Ongoing training and coaching for career development Comprehensive medical, dental and vision coverage with significant company contribution Disability insurance 401(k) retirement savings program Powered by JazzHR Zsr7qXsvji
06/08/2026
Full time
Job DescriptionJob Description Sr. Data Platform Engineer 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 Ongoing training and coaching for career development Comprehensive medical, dental and vision coverage with significant company contribution Disability insurance 401(k) retirement savings program Powered by JazzHR Zsr7qXsvji
Job DescriptionJob Description Sr. Data Platform Engineer 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 Ongoing training and coaching for career development Comprehensive medical, dental and vision coverage with significant company contribution Disability insurance 401(k) retirement savings program Powered by JazzHR Zsr7qXsvji
06/08/2026
Full time
Job DescriptionJob Description Sr. Data Platform Engineer 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 Ongoing training and coaching for career development Comprehensive medical, dental and vision coverage with significant company contribution Disability insurance 401(k) retirement savings program Powered by JazzHR Zsr7qXsvji
Job DescriptionJob Description Sr. Data Platform Engineer 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 Ongoing training and coaching for career development Comprehensive medical, dental and vision coverage with significant company contribution Disability insurance 401(k) retirement savings program Powered by JazzHR Zsr7qXsvji
06/08/2026
Full time
Job DescriptionJob Description Sr. Data Platform Engineer 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 Ongoing training and coaching for career development Comprehensive medical, dental and vision coverage with significant company contribution Disability insurance 401(k) retirement savings program Powered by JazzHR Zsr7qXsvji
Real Time Medical Systems
Fort Lauderdale, Florida
Job DescriptionJob Description Sr. Data Platform Engineer 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 Ongoing training and coaching for career development Comprehensive medical, dental and vision coverage with significant company contribution Disability insurance 401(k) retirement savings program Powered by JazzHR Zsr7qXsvji
06/08/2026
Full time
Job DescriptionJob Description Sr. Data Platform Engineer 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 Ongoing training and coaching for career development Comprehensive medical, dental and vision coverage with significant company contribution Disability insurance 401(k) retirement savings program Powered by JazzHR Zsr7qXsvji
Job DescriptionJob Description Sr. Data Platform Engineer 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 Ongoing training and coaching for career development Comprehensive medical, dental and vision coverage with significant company contribution Disability insurance 401(k) retirement savings program Powered by JazzHR Zsr7qXsvji
06/08/2026
Full time
Job DescriptionJob Description Sr. Data Platform Engineer 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 Ongoing training and coaching for career development Comprehensive medical, dental and vision coverage with significant company contribution Disability insurance 401(k) retirement savings program Powered by JazzHR Zsr7qXsvji
Job DescriptionJob Description Sr. Data Platform Engineer 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 Ongoing training and coaching for career development Comprehensive medical, dental and vision coverage with significant company contribution Disability insurance 401(k) retirement savings program Powered by JazzHR Zsr7qXsvji
06/08/2026
Full time
Job DescriptionJob Description Sr. Data Platform Engineer 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 Ongoing training and coaching for career development Comprehensive medical, dental and vision coverage with significant company contribution Disability insurance 401(k) retirement savings program Powered by JazzHR Zsr7qXsvji
Job DescriptionJob Description Sr. Data Platform Engineer 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 Ongoing training and coaching for career development Comprehensive medical, dental and vision coverage with significant company contribution Disability insurance 401(k) retirement savings program Powered by JazzHR Zsr7qXsvji
06/08/2026
Full time
Job DescriptionJob Description Sr. Data Platform Engineer 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 Ongoing training and coaching for career development Comprehensive medical, dental and vision coverage with significant company contribution Disability insurance 401(k) retirement savings program Powered by JazzHR Zsr7qXsvji
Job DescriptionJob Description Sr. Data Platform Engineer 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 Ongoing training and coaching for career development Comprehensive medical, dental and vision coverage with significant company contribution Disability insurance 401(k) retirement savings program Powered by JazzHR Zsr7qXsvji
06/08/2026
Full time
Job DescriptionJob Description Sr. Data Platform Engineer 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 Ongoing training and coaching for career development Comprehensive medical, dental and vision coverage with significant company contribution Disability insurance 401(k) retirement savings program Powered by JazzHR Zsr7qXsvji
Job DescriptionJob Description Sr. Data Platform Engineer 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 Ongoing training and coaching for career development Comprehensive medical, dental and vision coverage with significant company contribution Disability insurance 401(k) retirement savings program Powered by JazzHR Zsr7qXsvji
06/08/2026
Full time
Job DescriptionJob Description Sr. Data Platform Engineer 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 Ongoing training and coaching for career development Comprehensive medical, dental and vision coverage with significant company contribution Disability insurance 401(k) retirement savings program Powered by JazzHR Zsr7qXsvji
Job DescriptionJob Description Sr. Data Platform Engineer 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 Ongoing training and coaching for career development Comprehensive medical, dental and vision coverage with significant company contribution Disability insurance 401(k) retirement savings program Powered by JazzHR Zsr7qXsvji
06/08/2026
Full time
Job DescriptionJob Description Sr. Data Platform Engineer 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 Ongoing training and coaching for career development Comprehensive medical, dental and vision coverage with significant company contribution Disability insurance 401(k) retirement savings program Powered by JazzHR Zsr7qXsvji
Job DescriptionJob Description Sr. Data Platform Engineer 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 Ongoing training and coaching for career development Comprehensive medical, dental and vision coverage with significant company contribution Disability insurance 401(k) retirement savings program Powered by JazzHR Zsr7qXsvji
06/08/2026
Full time
Job DescriptionJob Description Sr. Data Platform Engineer 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 Ongoing training and coaching for career development Comprehensive medical, dental and vision coverage with significant company contribution Disability insurance 401(k) retirement savings program Powered by JazzHR Zsr7qXsvji
Job DescriptionJob Description Sr. Data Platform Engineer 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 Ongoing training and coaching for career development Comprehensive medical, dental and vision coverage with significant company contribution Disability insurance 401(k) retirement savings program Powered by JazzHR Zsr7qXsvji
06/08/2026
Full time
Job DescriptionJob Description Sr. Data Platform Engineer 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 Ongoing training and coaching for career development Comprehensive medical, dental and vision coverage with significant company contribution Disability insurance 401(k) retirement savings program Powered by JazzHR Zsr7qXsvji
Job DescriptionJob Description Sr. Data Platform Engineer 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 Ongoing training and coaching for career development Comprehensive medical, dental and vision coverage with significant company contribution Disability insurance 401(k) retirement savings program Powered by JazzHR Zsr7qXsvji
06/08/2026
Full time
Job DescriptionJob Description Sr. Data Platform Engineer 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 Ongoing training and coaching for career development Comprehensive medical, dental and vision coverage with significant company contribution Disability insurance 401(k) retirement savings program Powered by JazzHR Zsr7qXsvji
Job DescriptionJob Description Sr. Data Platform Engineer 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 Ongoing training and coaching for career development Comprehensive medical, dental and vision coverage with significant company contribution Disability insurance 401(k) retirement savings program Powered by JazzHR Zsr7qXsvji
06/08/2026
Full time
Job DescriptionJob Description Sr. Data Platform Engineer 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 Ongoing training and coaching for career development Comprehensive medical, dental and vision coverage with significant company contribution Disability insurance 401(k) retirement savings program Powered by JazzHR Zsr7qXsvji
Job DescriptionJob Description Sr. Data Platform Engineer 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 Ongoing training and coaching for career development Comprehensive medical, dental and vision coverage with significant company contribution Disability insurance 401(k) retirement savings program Powered by JazzHR Zsr7qXsvji
06/08/2026
Full time
Job DescriptionJob Description Sr. Data Platform Engineer 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 Ongoing training and coaching for career development Comprehensive medical, dental and vision coverage with significant company contribution Disability insurance 401(k) retirement savings program Powered by JazzHR Zsr7qXsvji
Real Time Medical Systems
Worcester, Massachusetts
Job DescriptionJob Description Sr. Data Platform Engineer 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 Ongoing training and coaching for career development Comprehensive medical, dental and vision coverage with significant company contribution Disability insurance 401(k) retirement savings program Powered by JazzHR Zsr7qXsvji
06/08/2026
Full time
Job DescriptionJob Description Sr. Data Platform Engineer 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 Ongoing training and coaching for career development Comprehensive medical, dental and vision coverage with significant company contribution Disability insurance 401(k) retirement savings program Powered by JazzHR Zsr7qXsvji
Job DescriptionJob Description Sr. Data Platform Engineer 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 Ongoing training and coaching for career development Comprehensive medical, dental and vision coverage with significant company contribution Disability insurance 401(k) retirement savings program Powered by JazzHR Zsr7qXsvji
06/08/2026
Full time
Job DescriptionJob Description Sr. Data Platform Engineer 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 Ongoing training and coaching for career development Comprehensive medical, dental and vision coverage with significant company contribution Disability insurance 401(k) retirement savings program Powered by JazzHR Zsr7qXsvji
Real Time Medical Systems
Providence, Rhode Island
Job DescriptionJob Description Sr. Data Platform Engineer 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 Ongoing training and coaching for career development Comprehensive medical, dental and vision coverage with significant company contribution Disability insurance 401(k) retirement savings program Powered by JazzHR Zsr7qXsvji
06/08/2026
Full time
Job DescriptionJob Description Sr. Data Platform Engineer 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 Ongoing training and coaching for career development Comprehensive medical, dental and vision coverage with significant company contribution Disability insurance 401(k) retirement savings program Powered by JazzHR Zsr7qXsvji
Job DescriptionJob Description Sr. Data Platform Engineer 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 Ongoing training and coaching for career development Comprehensive medical, dental and vision coverage with significant company contribution Disability insurance 401(k) retirement savings program Powered by JazzHR Zsr7qXsvji
06/08/2026
Full time
Job DescriptionJob Description Sr. Data Platform Engineer 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 Ongoing training and coaching for career development Comprehensive medical, dental and vision coverage with significant company contribution Disability insurance 401(k) retirement savings program Powered by JazzHR Zsr7qXsvji
Job DescriptionJob Description Sr. Data Platform Engineer 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 Ongoing training and coaching for career development Comprehensive medical, dental and vision coverage with significant company contribution Disability insurance 401(k) retirement savings program Powered by JazzHR Zsr7qXsvji
06/08/2026
Full time
Job DescriptionJob Description Sr. Data Platform Engineer 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 Ongoing training and coaching for career development Comprehensive medical, dental and vision coverage with significant company contribution Disability insurance 401(k) retirement savings program Powered by JazzHR Zsr7qXsvji