Senior Data Engineer - Remote

Med-Metrix; Tennessee; Remote; USD 120,000 - 180,000; Full time

Job summary

Med-Metrix seeks a Senior Data Engineer in Tennessee to design, build, and maintain scalable data pipelines for the Denials AI workflow. You will ensure HIPAA-compliant handling of PHI, collaborate with cross-functional teams, and optimize data models in PostgreSQL using Dagster, DBT, Python, and AWS services.

The role emphasizes production-grade ETL/ELT development, monitoring, and governance, with mentoring responsibilities for junior engineers and a strong focus on data reliability and

Qualifications

• Bachelor's or master's degree in Computer Science, Data Engineering, or related field
• 5+ years hands-on experience building and operating production-grade data pipelines
• Experience with Dagster and DBT or equivalent tools (SSIS, AWS Glue, Airflow)
• Strong SQL skills on PostgreSQL for data modeling and query optimization
• Experience with AWS data services: Athena, Glue, SQS, SNS, IAM, CloudWatch
• Proficiency in Python and Python data frameworks (Pandas, PySpark)
• Experience with GitHub and CI/CD for data projects
• Familiarity with healthcare data standards and HIPAA compliance
• Experience mentoring or leading small technical efforts
• Excellent written and verbal communication skills

Responsibilities

• Collaborate with the Team Lead and cross-functional teams to gather and refine data requirements for Denials AI solutions
• Design, implement, and optimize ETL/ELT pipelines using Python, Dagster, DBT, and AWS data services (Athena, Glue, SQS)
• Develop and maintain data models in PostgreSQL; write efficient SQL for querying and performance tuning
• Monitor pipeline health and performance; troubleshoot data incidents and implement preventive measures
• Enforce data quality and governance standards, including HIPAA compliance for PHI handling
• Conduct code reviews, share best practices, and mentor junior data engineers
• Automate deployment and monitoring tasks using infrastructure-as-code and AWS CloudWatch metrics and alarms
• Document data workflows, schemas, and operational runbooks to support team knowledge transfer
• Other duties as assigned
• Use, protect and disclose patients' protected health information (PHI) only in accordance with HIPAA standards
• Understand and comply with Information Security and HIPAA policies

Skills

Python

SQL

Dagster

DBT

AWS

GitHub

CI/CD

Communication

Education

Bachelor's or Master's in Computer Science / Data Engineering

Tools

Dagster

DBT

AWS

Job description

Job Purpose

The Senior Data Engineer designs, builds, and maintains scalable data pipelines and architectures to support the Denials AI workflow under the guidance of the Team Lead, Data Management. This role ensures data is reliable, compliant with HIPAA, and optimized.

Duties & Responsibilities

• Collaborate with the Team Lead and cross-functional teams to gather and refine data requirements for Denials AI solutions
• Design, implement, and optimize ETL/ELT pipelines using Python, Dagster, DBT, and AWS data services (Athena, Glue, SQS)
• Develop and maintain data models in PostgreSQL; write efficient SQL for querying and performance tuning
• Monitor pipeline health and performance; troubleshoot data incidents and implement preventive measures
• Enforce data quality and governance standards, including HIPAA compliance for PHI handling
• Conduct code reviews, share best practices, and mentor junior data engineers
• Automate deployment and monitoring tasks using infrastructure-as-code and AWS CloudWatch metrics and alarms
• Document data workflows, schemas, and operational runbooks to support team knowledge transfer

• Other duties as assigned
• Use, protect and disclose patients' protected health information (PHI) only in accordance with Health Insurance Portability and Accountability Act (HIPAA) standards

• Understand and comply with Information Security and HIPAA policies and procedures at all times
• Limit viewing of PHI to the absolute minimum as necessary to perform assigned duties

Qualifications

• Bachelor's or master's degree in Computer Science, Data Engineering, or related field
• 5+ years of hands-on experience building and operating production-grade data pipelines
• Solid experience with workflow orchestration tools (Dagster) and transformation frameworks (DBT) or other similar tools such (Microsoft SSIS, AWS Glue, Air Flow)
• Strong SQL skills on PostgreSQL for data modeling and query optimization or any other similar technologies (Microsoft SQL Server, Oracle, AWS RDS)
• Working knowledge with AWS data services: Athena, Glue, SQS, SNS, IAM, and CloudWatch
• Basic proficiency in Python and Python data frameworks (Pandas, PySpark)
• Experience with version control (GitHub) and CI/CD for data projects
• Familiarity with healthcare data standards and HIPAA compliance
• Experience mentoring or leading small technical efforts
• Proficiency in Microsoft Office Suite
• Strong interpersonal skills, ability to communicate well at all levels of the organization
• Strong problem solving and creative skills and the ability to exercise sound judgment and make decisions based on accurate and timely analyses
• High level of integrity and dependability with a strong sense of urgency and results oriented
• Excellent written and verbal communication skills required

Working Conditions

• Regular working hours; on-call for data pipeline incident response.
• Must possess a smart-phone or electronic device capable of downloading applications, for multifactor authentication and security purposes.
• Physical Demands: While performing the duties of this job, the employee is occasionally required to move around the work area; Sit; perform manual tasks; operate tools and other office equipment such as computer, computer peripherals and telephones; extend arms; kneel; talk and hear.
• Mental Demands: The employee must be able to follow directions, collaborate with others, and handle stress.
• Work Environment: The noise level in the work environment is usually minimal.

Med-Metrix will not discriminate against any employee or applicant for employment because of race, color, religion, sex (including pregnancy, gender identity, and sexual orientation), parental status, national origin, age, disability, genetic information (including family medical history), political affiliation, military service, veteran status, other non-merit based factors, or any other characteristic protected by federal, state or local law.